Next Article in Journal
The Nursing Practice Environment and Patients’ Satisfaction with Nursing Care in a Hospital Context
Next Article in Special Issue
High Levels of Anxiety, Depression, Risk of Suicide, and Implications for Treatment in Patients with Lamellar Ichthyosis
Previous Article in Journal
One Pandemic, Two Solutions: Comparing the U.S.-China Response and Health Priorities to COVID-19 from the Perspective of “Two Types of Control”
Previous Article in Special Issue
Acupuncture Decreases Risk of Hypertension in Patients with Chronic Spontaneous Urticaria in Taiwan: A Nationwide Study
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Healthcare
Volume 11
Issue 13
10.3390/healthcare11131849
healthcare-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Research Hotspots in Psoriasis: A Bibliometric Study of the Top 100 Most Cited Articles

by
Oana Mirela Tiucă
1,2,3,
Silviu Horia Morariu
2,3,*,
Claudia Raluca Mariean
1,4,
Robert Aurelian Tiucă
1,5,6,
Alin Codruț Nicolescu
7 and
Ovidiu Simion Cotoi
4,8
1
Doctoral School of Medicine and Pharmacy, University of Medicine, Pharmacy, Science, and Technology George Emil Palade of Targu Mures, 540142 Targu Mures, Romania
2
Dermatology Department, University of Medicine, Pharmacy, Science, and Technology George Emil Palade of Targu Mures, 540142 Targu Mures, Romania
3
Dermatology Clinic, Mures Clinical County Hospital, 540342 Targu Mures, Romania
4
Pathophysiology Department, University of Medicine, Pharmacy, Science, and Technology George Emil Palade of Targu Mures, 540142 Targu Mures, Romania
5
Endocrinology Department, University of Medicine, Pharmacy, Science, and Technology George Emil Palade of Targu Mures, 540142 Targu Mures, Romania
6
Endocrinology Department, Mures Clinical County Hospital, 540139 Targu Mures, Romania
7
Agrippa Ionescu Emergency Clinical Hospital, 011773 Bucharest, Romania
8
Pathology Department, Mures Clinical County Hospital, 540011 Targu Mures, Romania
*
Author to whom correspondence should be addressed.
Healthcare 2023, 11(13), 1849; https://doi.org/10.3390/healthcare11131849
Submission received: 7 April 2023 / Revised: 21 June 2023 / Accepted: 21 June 2023 / Published: 26 June 2023
(This article belongs to the Special Issue International Dermatology: Prevention and Treatment of Skin Diseases around the Globe)
Browse Figures
Versions Notes

Abstract

:
(1) Introduction: Psoriasis is a chronic, immune-mediated disease that negatively impacts patients’ quality of life and predisposes them to cardiovascular or metabolic diseases. This paper aims to summarize the knowledge structure and future directions in psoriasis research by means of bibliometrics. (2) Material and methods: The Thomson Reuters Web of Science database was interrogated using preestablished keywords. A list of the top 100 most cited articles focusing solely on psoriasis was compiled and analyzed. VOSviewer software was used to assess and visualize collaboration networks, citation, co-citation and co-wording analysis, and bibliographic coupling. (3) Results: The articles were written by 902 authors from 20 countries and were published in 31 journals. The United States was at the forefront of this field. Griffiths, CEM had the most citations, while the most prolific institution was Rockefeller University, New York City. Pathogenesis, especially key-pathogenic factors, immune pathways, and epidemiology were the most discussed topics. Work published in the last decade focused on the use of biologics. Keywords such as “quality of life”, “efficacy”, and “necrosis-factor alpha” have been widely used. (4) Conclusion: Research interest regarding psoriasis is high, leading to the rapid development of this field. Treatment modalities, especially novel-targeted therapies, immune pathways, and an integrative approach to such cases are receiving great interest and represent research hotspots in the future.

1. Introduction

Psoriasis is a chronic, immune-mediated disease that negatively impacts patients’ quality of life (QoL). In the last published global report [1], the World Health Organization reported an increasing prevalence of psoriasis, ranging between 1.5% and 5% in developed countries [2]. Its etiopathogenesis is complex, with genetic predisposition, an altered immune response, and various triggering factors concurring in the development of this disease [3,4]. Clinically defined by cutaneous erythema, scaling, and induration, and in some cases by joint and nail involvement, this disease seems to predispose patients to a higher risk of developing cardiovascular disease, diabetes, dyslipidemia, and metabolic syndrome [5,6].
A continuous stream of research is being conducted in relation to psoriasis, aiming to shed light on the pathogenesis, management, and therapeutic outcomes of this disease. A thorough study of scientific advances in a specific field may lead to improvements in the diagnosis and treatment of various diseases. In order to evaluate progress in psoriasis research and its future directions, a bibliometric analysis is of great use.
This concept was proposed by Pritchard [7] and uses statistical parameters to identify emerging trends and collaboration patterns between research constituents. Citations are the most forthright measure of a paper’s impact [8]. Additionally, performance analysis, which illustrates the contributions of research constituents, and science mapping, which depicts the relationships between them, provide additional insight into the academic significance of research papers.
Nevertheless, the use of bibliometry in medical research is relatively new. It has been sparsely utilized, especially regarding cancers [9,10,11,12,13]. However, to the best of our knowledge, this is the first paper to address overall research directions in psoriasis, taking into account bibliometric algorithms based on the top 100 most cited articles referring to this disease.

2. Material and Methods

2.1. Search Strategy and Data Collection

The search was conducted on the Thomson Reuters Web of Science (WoS) database on 15 January 2023. The following keywords were used: “psoriasis”, “plaque psoriasis”, “guttate psoriasis”, “erythrodermic psoriasis”, and “pustular psoriasis”, separated by the Boolean OR. Articles from all fields were searched across the entire database without regard to article type or study design. Citations recorded in the indexing database are as follows: Science Citation Index Expanded, Social Sciences Citation Index, Conference Proceeding Citation Index-Social Science and Humanities, Conference Proceedings Citation Index-Science, and Emerging Sources Citation Index.
The search returned 56,731 results, that were afterward screened. Abstracts and letters were excluded. Only full-length English articles were considered. The returned articles were sorted by citation count using Paladugu’s method [14]. Articles focusing on psoriatic arthritis or other inflammatory or autoimmune skin disorders were excluded. Papers referring only to psoriasis-specific topics, such as pathogenesis, treatment modalities, or outcomes, were reviewed. Search and screening of the results were made by two independent researchers to ensure relevance to the selected topic. Disagreements were resolved by discussion between the two involved researchers. The Prisma diagram (Figure 1) exemplifies the workflow. A list of the top 100 most cited articles was compiled and analyzed for various parameters over the next four weeks [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].

2.2. Bibliometric Analysis

Information regarding the journal, authorship, institution, publication year, and study design was extracted for the selected articles. Clarivate Journal Citation Reports was used for each journal’s 2021 and 5-year impact factors. Full data regarding the selected articles were generated from the WoS database as an Excel spreadsheet and as a plain text file.
Publication-related metrics were analyzed with Microsoft Excel software. Science mapping and data visualization were performed with VOSviewer software (Version 1.6.19-2023). VOSviewer is a graphical user interface-based free software first developed by van Eck and Waltman in 2010 [115], with the latest version launched on 23 January 2023. It allows the analysis and visualization of different collaboration patterns between research constituents.
The following performance analysis parameters were evaluated: publication-related metrics (total publications, solo-authored publications, co-authored publications) and citation-related metrics (total citations and citation rate). The citation rate was calculated by dividing the total number of citations by the number of years since publication. The bibliometric and knowledge structure of the research field is evaluated in this paper by using the following science mapping techniques: citation, co-citation, co-word, co-authorship analysis, and bibliographical coupling. The counting method was set at full counting. To limit spelling differences in authors’ or institutions’ names an additional thesaurus file, that gives consistent labels to the same word spelled differently, was generated, and used when appropriate.

3. Results

3.1. Citation Analysis

The total citation count for the analyzed articles was 68,691, with a median of 553.5 and a mean of 686.91. Eighty-four were original articles, while sixteen were reviews. Pathogenesis and epidemiology were the topics most discussed (n = 66), followed by management (n = 45) and genetics (n = 9). Twenty-six articles focused on the use and effectiveness of novel targeted immune therapies, such as biologics, in the management of moderate-to-severe plaque psoriasis. Pustular psoriasis was addressed in two articles [45,63].
Within the top 100, the citation count ranged between 405 for “Clinical response to adalimumab treatment in patients with moderate to severe psoriasis: Double-blind, randomized controlled trial and open-label extension study” by Gordon, K et al. [28] and 2145 for “Severe psoriasis—oral therapy with a new retinoid” by Fredriksson, T et al. [106].
The articles were published between 1969 and 2020. The oldest article was “Generalized pustular psoriasis—a clinical and epidemiological study of 104 cases” by Baker, H et al. [45], while the newest one was “Pathophysiology, clinical presentation, and treatment of psoriasis: a review” by Armstrong, AW et al. [73]. They had 421 and 420 citations, respectively. These two articles also have the lowest and highest citation rates, 8 and 211, respectively. Table 1 shows the top 100 articles and their respective citation rates. Figure 2 illustrates the distribution of the articles by decade.
Based on bibliometric algorithms that consider citation patterns, such as total citation number and the topic addressed in these papers, the analyzed articles were grouped into eight clusters. Cluster 1 is defined by 24 articles, clusters 2 and 3 by 16 articles each, cluster 4 by 15 articles, cluster 5 by 14 articles, cluster 6 by 9 articles, cluster 7 by 5 articles, and cluster 8 by a single article. The previously mentioned clusters are shown in Figure 3 as map-based connections. Each color represents a thematic cluster, whereas each node represents an author. The size of each individual node and font size is proportional to the number of citations, both related to the completed data set and to each individual cluster.
Griffiths, CEM, Krueger, JG, Papp, K, Krueger, GG, and Menter, A contributed to the greatest number of articles and received a total of 9646, 7669, 8944, 7492, and 6945 citations, respectively. Table 2 highlights the top 10 most cited authors.
The top 100 articles were published in 31 journals, which published between one and sixteen articles. New England Journal of Medicine (n = 16) published the greatest number of articles within the top 100 and had the highest number of citations (12,817). Lancet had the highest impact factor (202.73), published the third-highest number of articles (n = 10), and received the third-highest number of total citations (8966). Dermatologica had the highest average citation per publication (1301), having published 2 papers with a total of 2602 citations. Table 3 displays articles, citation count, and various journal metrics.

3.2. Co-Authorship Analysis

The 100 analyzed articles summed 902 authors, out of which 167 contributed to more than 2 papers, while 18 authored more than 5 articles. Three papers were solo-authored [84,86,111]; the highest number of contributing authors for a paper was 136 [49]. Leonardi and Papp first authored the highest number of papers (n = 3). Griffiths, CEM (n = 12), Krueger, JG (n = 12), Papp, K (n = 11), Krueger, GG (n = 10), and Menter, A (n = 10) contributed to the greatest number of articles. The authors who contributed to more than five papers are shown in Figure 4 as map-based connections scored by average citations.
The authors contributing to the 100 articles originated from 322 institutions and 20 countries. The United States had the most citations (48,556), as well as the highest number of papers (n = 73). Germany ranked second, with 18,722 citations from 28 articles. The top five institutions that contributed to the papers were Rockefeller University (n = 13), the University of Manchester (n = 12), Probity Medical Research (n = 11), the University of Michigan, and the University of Utah (n = 10, each). Table 4 and Figure 5 depict the top 10 institutions, respectively, countries, that contributed to the top 100 most cited articles.

3.3. Co-Word Analysis

A total of 471 unique keywords were identified from all articles. After removing keywords such as “psoriasis”, “plaque psoriasis”, “chronic plaque psoriasis”, “severe plaque psoriasis”, “vulgaris”, “to-severe psoriasis”, “psoriasis vulgaris”, and “vulgaris lesions” that could affect the analysis, a minimum threshold of two occurrences was set for each keyword and the bibliometric map was generated. Based on occurrence, they were divided into 7 clusters, as follows: cluster 1 = 37 items, cluster 2 = 28 items, cluster 3 = 23 items, cluster 4 = 19 items, cluster 5 = 18 items, cluster 6 = 12 items, and cluster 7 with 8 items. Figure 6 displays them as map-based connections, while Figure 7 displays keywords occurrence density in the selected articles. A set of the 10 most used keywords was generated and presented in Table 5.

3.4. Bibliographical Coupling

Based on patterns of citing the same references, the 100 articles were divided into 10 clusters. Cluster 1 consists of 26 items, cluster 2 of 23 items, cluster 3 of 16 items, cluster 4 of 14 items, cluster 5 of 13 items, cluster 6 of 4 items, and clusters 7, 8, 9, and 10 of 1 item each. The map-based connections between all clusters can be found in Figure 8.

3.5. Co-Citation Analysis

The analyzed articles summed 3645 references. A minimum threshold of one for each reference was set The most co-cited reference was the article of Rapp, SR et al. [89], which was co-cited by 19 other articles, with 1077 links with other articles and a total link strength of 1358, followed by Fredrickson, T et al. [106], also co-cited by 19 articles, but with lower links (636) and link strength (804), and Gelfand, JM and Leonardi, CL both co-cited 15 times. Figure 9 shows the density of co-cited references. Co-citation frequency is depicted using different intensities of yellow and green. The network of references co-cited more than five times is shown in Figure 10, scored by average citations. They were divided into 4 clusters, as follows: cluster 1 = 43 items, cluster 2 = 30 items, cluster 3 = 30 items, and cluster 4 = 23 items. References located among different clusters and with the highest link strengths are circled with black.

4. Discussion

Psoriasis has attracted much interest in the scientific community over the years. In the face of constant evolution and novelties added to the field, it is of great use to maintain the connection to research areas of interest. Bibliometric analysis is able to handle, using quantitative methods, large amounts of literature, to avoid bias usually associated with qualitative-based systematic reviews, and to provide the knowledge structure and future trends of a research topic or field [116].
Among the top 100 articles reviewed, pathogenesis and epidemiology were the topics most often discussed, being the focus of 66 articles. Only 12 articles focused on the clinical and diagnostic aspects of the disease. As psoriasis remains mainly a clinical diagnosis, the emphasis is on better understanding and managing the disease. This points to the fact that the vast majority of the high-impact literature focused on understanding how and why psoriasis develops. This culminated in a trend to explore the role of different immune and inflammatory pathways since the beginning of the 2000s. As key contributors to the immunopathogenesis of psoriasis, keratinocytes provide antimicrobial peptides, such as S100A7 and LL-37, that bind to host DNA and form DNA-LL-37 complexes, which stimulate dendritic cells to produce IFN-alpha and activate myeloid dendritic cells. Activated dendritic cells produce mediators, including IL-12 and IL-23, that lead to T-cells differentiation into Type 1 [35] and Type 17 T-helper cells. Th17 cells play an important role in epithelial immune surveillance [109]. A special focus was set on key pathogenic factors of psoriasis, such as TNF-α, IL-6, IL-8, IL-17, IL-22, IL-23, and IFN-gamma, providing insightful information about disease mechanisms. [51,53,61,62,105]. Additionally, 10 papers have specifically addressed [15,17,47,49,50,56,63,68,104] the genetic basis of psoriasis, with extensive genetic testing that identified more than 50 psoriasis susceptibility loci [27,49,56]. The most important one, PSORS1 [88] is located within the major histocompatibility complex (MHC) on chromosome 6p21 and is directly linked to HLA-Cw6-allele. The gene variants of interest modulate immune pathways and processes that contribute to disease susceptibilities, such as antigen presentation, the IL-23/IL-17 axis, and the type I IFN pathway [49]. A distinctive and interesting approach to psoriasis genetics has been addressed by Sonkoly et al. [68] that identified a specific, dysregulated microRNA expression profile in psoriatic skin compared to healthy skin: miR-203 and miR-125b regulate keratinocyte proliferation and differentiation, while miR-21 inhibits T cell apoptosis. Consequently, research areas referring to therapeutical means have shifted from photochemotherapy and classical immunosuppressant therapies to novel targeted therapies in the last twenty years. Of the specific therapeutic options, this analysis identified the increasingly dominant trend in reporting the use of monoclonal antibodies, twenty-six out of forty-five articles referring to treatment options were focused only on the safety and effectiveness of such novel therapies. The significance of this trend is more accurately reflected by work published in the last decade because ten out of seventeen papers published in this timeframe were focused on treatment, out of which eight addressed specifically various monoclonal antibodies.
Even though only six articles focused specifically on disease comorbidities and four on QoL it is important to mention that these aspects have been uniformly addressed over time and mentioned in other papers, suggesting a constant focus of the research community on these topics. Treatment and management of psoriasis should not address only cutaneous manifestations, but also associated comorbidities and should aim to increase the QoL [117]. Biologics represent a cornerstone in the management of this disease because apart from alleviating skin lesions they seem to work up to a certain extent for associated comorbidities as well. Research focusing on biologics seems to steal the focus in the future as well, for further exploration.
The paper of Fredriksson et al. [106], published in 1978 in Dermatologica, was the most cited article in our analysis. It explored the effectiveness of a retinoic acid derivate in treating severe psoriasis. The study was significant at the time because apart from evaluating the effectiveness of a novel retinoid, it was the first article that introduced a currently worldwide used disease severity score, Psoriasis Area Severity Index (PASI). PASI score is currently used in dermatology to assess disease severity and thus, allows the classification of psoriasis in mild, moderate, and severe. Further therapeutic options are selected taking into account various parameters, the PASI score being one of the strongest.
The oldest article included in this analysis, published by Baker et al. [45] focused on generalized pustular psoriasis and identified two etiologically and evolution-wise distinct subtypes of this rare form of psoriasis. The newest one, published by Armstrong et al. [73] offers a state-of-the-art review on clinical presentation, epidemiology, and therapeutic advancements. Due to the fact that the previously mentioned, most recent article included was published in 2020, ongoing research may significantly impact the top 100 articles over the next few years.
This study identified a significant difference in publication and citation patterns in the last two decades compared to before 2000, for which the articles total only 18 and 17.3% of the total citations. This can be explained by the fact that research published before the 2000s focused on pathogenesis, clinics, and conventional treatment options, thus laying the foundation for today’s knowledge about psoriasis. Moreover, these last two decades represent the beginning of immunopathogenesis and biologics.
The collaboration network of authors, countries, and institutions provides an overall picture of the leading researchers in this field on different levels. The United States, Germany, Canada, and the United Kingdom are leaders in the field. Additionally, the most prolific institutions and authors originate in these countries, indicating greater research resources. Moreover, these countries possess some of the most comprehensive and better-updated National Registries, allowing a proper evaluation and follow-up of patients suffering from this disease while also serving as comprehensive research databases. Even though the University of Manchester ranked second, its total link strength is higher than that of the institution ranked first, suggesting a higher connection to other institutions analyzed. The authors that published the most papers were Griffiths, CEM (n = 12), Krueger, JG (n = 12), Papp, K (n = 11), Krueger, GG (n = 10), and Menter, A (n = 10). On the other hand, when analyzing the authors who contributed to more than five papers based on citations link strength, Nestle, FO, Griffiths, CEM, Papp, K, and Lebwohl, M are proven to be the most influential scholars in their field.
Keywords are a hallmark of the literature, and their analysis can shed light on research and trends in a specific field. The analyzed articles summed up 471 keywords. After setting a minimum threshold of 2 occurrences for each keyword, a bibliometric map based on the 145 eligible items was created and presented in Figure 6. Seven clusters, each defining a research area, were defined. The top 10 keywords with the highest number of occurrences were “quality-of-life”, “skin”, “therapy”, “expression”, “dendritic cells”, “double-blind”, “efficacy”, “necrosis-factor-alpha”, “rheumatoid arthritis”, and “safety”. Figure 7 illustrates the main areas of interest based on the density of keywords in the analyzed articles, where we can observe that the research focuses on quality of life, immune pathways, and treatment safety. Reference co-citation analysis can reflect a domain’s knowledge structure and indicate research hotspots. The analysis showed that the most co-cited references were the papers of Rapp, SR “Psoriasis causes as much disability as other major medical diseases” [89] and Fredrickson, T “Severe psoriasis—oral therapy with a new retinoid” [106], both co-cited 19 times and serving as an additional indicator that treatment and life-quality are main topics in the research field. The works of Rapp, SR, Fredriksson, T, Gelfand, JM, Reich, K, Schon, MP, and Lee, E which bring attention to topics such as pathogenesis and novel treatment options, have the highest link strengths and are located among different clusters, indicating that they may serve as landmarks in the field.
The limitation of this bibliometric analysis resides mainly in the fact that only full-length English articles indexed in the WoS database have been taken into account. This has been partially addressed by not limiting article access type in any kind. Moreover, no time limit has been set when researching articles to be included in the analysis, thus a larger and more accurate overview of the research field has been obtained. To diminish the effect of time on accumulated citations, a citation rate was also calculated in order to identify articles that received a large number of citations over a short period of time. Due to the fact that bibliometric analysis covers a broad area of research, it should be taken into account that papers with the highest citations might address general topics. In order to limit this and to provide an overview of the past, present, and future of psoriasis research, we used a combination of techniques: co-citation analysis to uncover knowledge foundations, bibliographic coupling to understand the present development of themes, and co-word analysis to assess existing or future relationships among topics in psoriasis research.

5. Conclusions

Research interest in the scientific community regarding psoriasis is high, leading to the rapid and constant development of this field. This is the first bibliometric study focusing on psoriasis, providing an overview of the intellectual structure and scientific directions in the field, taking into account algorithms based on the top 100 most cited articles on the subject. The research focus is shifting from disease presentation. Treatment modalities, especially novel-targeted therapies, immune pathways, and an integrative, complex approach to such cases are receiving great interest and represent research hotspots in the future.

Author Contributions

Conceptualization: O.M.T., S.H.M. and O.S.C.; formal analysis: O.M.T.; methodology: O.M.T., C.R.M. and A.C.N.; resources: C.R.M. and R.A.T.; validation: O.S.C. and S.H.M.; visualization: O.M.T. and R.A.T.; writing—original draft: O.M.T., C.R.M. and R.A.T.; writing—revision and editing: O.M.T. and C.R.M.; supervision: O.S.C. and S.H.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data presented can be made available upon request.

Acknowledgments

This article is part of a Ph.D. thesis from the Doctoral School of Medicine and Pharmacy of the University of Medicine, Pharmacy, Science, and Technology George Emil Palade of Targu Mures, titled “The impact of systemic inflammation in modulating disease presentation in psoriasis”, which will be presented by Oana Mirela Tiucă by the fall of 2024.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. WHO Organization. Global Report on Psoriasis; World Health Organization: Geneva, Switzerland, 2016. [Google Scholar]
  2. Damiani, G.; Bragazzi, N.L.; Karimkhani Aksut, C.; Wu, D.; Alicandro, G.; McGonagle, D.; Guo, C.; Dellavalle, R.; Grada, A.; Wong, P.; et al. The global, regional, and national burden of psoriasis: Results and insights from the global burden of disease 2019 Study. Front. Med. 2021, 8, 743180. [Google Scholar] [CrossRef]
  3. Mahil, S.K.; Capon, F.; Barker, J.N. Genetics of psoriasis. Dermatol. Clin. 2015, 33, 1–11. [Google Scholar] [CrossRef]
  4. Zeng, J.; Luo, S.; Huang, Y.; Lu, Q. Critical role of environmental factors in the pathogenesis of psoriasis. J. Dermatol. 2017, 44, 863–872. [Google Scholar] [CrossRef] [Green Version]
  5. Gisondi, P.; Fostini, A.C.; Fossà, I.; Girolomoni, G.; Targher, G. Psoriasis and the metabolic syndrome. Clin. Dermatol. 2018, 36, 21–28. [Google Scholar] [CrossRef]
  6. Xiaohong, L.; Zhenting, Z.; Yunjie, Y.; Wei, C.; Xiangjin, X.; Kun, X.; Xin, L.; Lu, L.; Jun, L.; Pin, C. Activation of the sting-irf3 pathway involved in psoriasis with diabetes mellitus. J. Cell. Mol. Med. 2022, 26, 2139–2151. [Google Scholar] [CrossRef]
  7. Pritchard, A. Statistical Bibliography or Bibliometrics? J. Doc. 1969, 25, 348–349. [Google Scholar]
  8. Stremersch, S.; Verniers, I.; Verhoef, P.C. The quest for citations: Drivers of article impact. J. Mark. 2007, 71, 171–193. [Google Scholar] [CrossRef]
  9. Fan, K.S.; Fan, K.H.; Tse, P.L.; Ding, H.; Su, R.; Kwok, H.T. Analysis of top-cited articles on melanoma. Acta Dermatovenerol. Alp. Pannonica Adriat. 2022, 31, 127–133. [Google Scholar] [CrossRef]
  10. Kwok, H.T.; Van, M.; Fan, K.S.; Chan, J. Top 100 cited articles in male breast cancer: A bibliometric analysis. Breast Dis. 2022, 41, 15–20. [Google Scholar] [CrossRef]
  11. Zhang, Y.; Yu, C. Bibliometric evaluation of publications (2000–2020) on the prognosis of gastric cancer. Inquiry 2021, 58, 469580211056015. [Google Scholar] [CrossRef] [PubMed]
  12. Joyce, C.W.; Sugrue, C.M.; Joyce, K.M.; Kelly, J.L.; Regan, P.J. 100 citation classics in the melanoma literature: A bibliometric analysis. Dermatol. Surg. 2014, 40, 1284–1298. [Google Scholar] [CrossRef] [PubMed]
  13. Cocuz, I.G.; Cocuz, M.E.; Repanovici, A.; Sabău, A.-H.; Niculescu, R.; Tinca, A.-C.; Vunvulea, V.; Budin, C.E.; Szoke, A.R.; Popelea, M.C.; et al. Scientific research directions on the histopathology and immunohistochemistry of the cutaneous squamous cell carcinoma: A scientometric study. Medicina 2022, 58, 1449. [Google Scholar] [CrossRef]
  14. Paladugu, R.; Schein, M.; Gardezi, S.; Wise, L. One hundred citation classics in general surgical journals. World J. Surg. 2002, 26, 1099–1105. [Google Scholar] [CrossRef]
  15. Strange, A.; Capon, F.; Spencer, C.C.A.; Knight, J.; Weale, M.E.; Allen, M.H.; Barton, A.; Band, G.; Bellenguez, C.; Bergboer, J.G.M.; et al. A genome-wide association study identifies new psoriasis susceptibility loci and an interaction between HLA-C and ERAP1. Nat. Genet 2010, 42, 985–990. [Google Scholar]
  16. Papp, K.; Tyring, S.; Lahfa, M.; Prinz, J.; Griffiths, C.; Nakanishi, A.; Zitnik, R.; van de Kerkhof, P.; Grp, E.P.S. A global phase iii randomized controlled trial of etanercept in psoriasis: Safety, efficacy, and effect of dose reduction. Br. J. Dermatol. 2005, 152, 1304–1312. [Google Scholar] [CrossRef]
  17. Cargill, M.; Schrodi, S.J.; Chang, M.; Garcia, V.E.; Brandon, R.; Callis, K.P.; Matsunami, N.; Ardlie, K.G.; Civello, D.; Catanese, J.J.; et al. A large-scale genetic association study confirms il12b and leads to the identification of il23r as psoriasis-risk genes. Am. J. Hum. Genet 2007, 80, 273–290. [Google Scholar] [CrossRef] [Green Version]
  18. Krueger, G.G.; Langley, R.G.; Leonardi, C.; Yeilding, N.; Guzzo, C.; Wang, Y.; Dooley, L.T.; Lebwohl, M.; Grp, C. 1275 P. S. A human interleukin-12/23 monoclonal antibody for the treatment of psoriasis. N. Engl. J. Med. 2007, 356, 580–592. [Google Scholar] [CrossRef]
  19. Lebwohl, M.; Tyring, S.; Hamilton, T.; Toth, D.; Glazer, S.; Tawfik, N.; Walicke, P.; Dummer, W.; Wang, X.; Garovoy, M.; et al. A novel targeted T-cell modulator, efalizumab, for plaque psoriasis. N. Engl. J. Med. 2003, 349, 2004–2013. [Google Scholar] [CrossRef] [Green Version]
  20. Michalek, I.M.; Loring, B.; John, S.M. A systematic review of worldwide epidemiology of psoriasis. J. Eur. Acad. Dermatol. Venereol. 2017, 31, 205–212. [Google Scholar] [CrossRef]
  21. Menter, A.; Tyring, S.K.; Gordon, K.; Kimball, A.B.; Leonardi, C.L.; Langley, R.G.; Strober, B.E.; Kaul, M.; Gu, Y.; Okun, M.; et al. Adalimumab therapy for moderate to severe psoriasis: A randomized, controlled phase iii trial. J. Am. Acad. Dermatol. 2008, 58, 106–115. [Google Scholar] [CrossRef]
  22. Leonardi, C.; Matheson, R.; Zachariae, C.; Cameron, G.; Li, L.; Edson-Heredia, E.; Braun, D.; Banerjee, S. Anti-interleukin-17 monoclonal antibody ixekizumab in chronic plaque psoriasis. N. Engl. J. Med. 2012, 366, 1190–1199. [Google Scholar] [CrossRef] [Green Version]
  23. Nickoloff, B.; Karabin, G.; Barker, J.; Griffiths, C.; Sarma, V.; Mitra, R.; Elder, J.; Kunkel, S.; Dixit, V. Cellular-localization of interleukin-8 and its inducer, tumor-necrosis-factor-alpha in psoriasis. Am. J. Pathol. 1991, 138, 129–140. [Google Scholar]
  24. Wada, Y.; Cardinale, I.; Khatcherian, A.; Chu, J.; Kantor, A.B.; Gottlieb, A.B.; Tatsuta, N.; Jacobson, E.; Barsoum, J.; Krueger, J.G. Apilimod inhibits the production of il-12 and il-23 and reduces dendritic cell infiltration in psoriasis. PLoS ONE 2012, 7, e35069. [Google Scholar] [CrossRef] [Green Version]
  25. Papp, K.A.; Leonardi, C.; Menter, A.; Ortonne, J.-P.; Krueger, J.G.; Kricorian, G.; Aras, G.; Li, J.; Russell, C.B.; Thompson, E.H.Z.; et al. Brodalumab, an anti-interleukin-17-receptor antibody for psoriasis. N. Engl. J. Med. 2012, 366, 1181–1189. [Google Scholar] [CrossRef]
  26. Naldi, L.; Chatenoud, L.; Linder, D.; Fortina, A.; Peserico, A.; Virgili, A.; Bruni, P.; Ingordo, V.; Lo Scocco, G.; Solaroli, C.; et al. Cigarette smoking, body mass index, and stressful life events as risk factors for psoriasis: Results from an italian case-control study. J. Investig. Dermatol. 2005, 125, 61–67. [Google Scholar] [CrossRef] [Green Version]
  27. Kagami, S.; Rizzo, H.L.; Lee, J.J.; Koguchi, Y.; Blauvelt, A. Circulating Th17, Th22, and Th1 cells are increased in psoriasis. J. Investig. Dermatol. 2010, 130, 1373–1383. [Google Scholar] [CrossRef] [Green Version]
  28. Gordon, K.B.; Langley, R.G.; Leonardi, C.; Toth, D.; Menter, M.A.; Kang, S.; Heffernan, M.; Miller, B.; Hamlin, R.; Lim, L.; et al. Clinical response to adalimumab treatment in patients with moderate to severe psoriasis: Double-blind, randomized controlled trial and open-label extension study. J. Am. Acad. Dermatol. 2006, 55, 598–606. [Google Scholar] [CrossRef]
  29. Griffiths, C.E.M.; Reich, K.; Lebwohl, M.; van de Kerkhof, P.; Paul, C.; Menter, A.; Cameron, G.S.; Erickson, J.; Zhang, L.; Secrest, R.J.; et al. Comparison of ixekizumab with etanercept or placebo in moderate-to-severe psoriasis (UNCOVER-2 and UNCOVER-3): Results from two phase 3 randomised trials. Lancet 2015, 386, 541–551. [Google Scholar] [CrossRef]
  30. Griffiths, C.E.M.; Strober, B.E.; van de Kerkhof, P.; Ho, V.; Fidelus-Gort, R.; Yeilding, N.; Guzzo, C.; Xia, Y.; Zhou, B.; Li, S.; et al. Comparison of ustekinumab and etanercept for moderate-to-severe psoriasis. N. Engl. J. Med. 2010, 362, 118–128. [Google Scholar] [CrossRef]
  31. Abrams, J.; Lebwohl, M.; Guzzo, C.; Jegasothy, B.; Goldfarb, M.; Goffe, B.; Menter, A.; Lowe, N.; Krueger, G.; Brown, M.; et al. CTLA4ig-mediated blockade of T-cell costimulation in patients with psoriasis vulgaris. J. Clin. Investig. 1999, 103, 1243–1252. [Google Scholar] [CrossRef]
  32. Ellis, C.; Gorsulowsky, D.; Hamilton, T.; Billings, J.; Brown, M.; Headington, J.; Cooper, K.; Baadsgaard, O.; Duell, E.; Annesley, T.; et al. Cyclosporine improves psoriasis in a double-blind-study. JAMA-J. Am. Med. Assoc. 1986, 256, 3110–3116. [Google Scholar] [CrossRef]
  33. Mrowietz, U.; Kragballe, K.; Reich, K.; Spuls, P.; Griffiths, C.E.M.; Nast, A.; Franke, J.; Antoniou, C.; Arenberger, P.; Balieva, F.; et al. Definition of treatment goals for moderate to severe psoriasis: A european consensus. Arch. Dermatol. Res. 2011, 303, 1–10. [Google Scholar] [CrossRef] [Green Version]
  34. Henseler, T.; Christophers, E. Disease concomitance in psoriasis. J. Am. Acad. Dermatol. 1995, 32, 982–986. [Google Scholar] [CrossRef]
  35. Sugiyama, H.; Gyulai, R.; Toichi, E.; Garaczi, E.; Shimada, S.; Stevens, S.; McCormick, T.; Cooper, K. Dysfunctional blood and target tissue CD4(+)CD25(high) regulatory T cells in psoriasis: Mechanism underlying unrestrained pathogenic effector t cell proliferation. J. Immunol. 2005, 174, 164–173. [Google Scholar] [CrossRef] [Green Version]
  36. Blauvelt, A.; Papp, K.A.; Griffiths, C.E.M.; Randazzo, B.; Wasfi, Y.; Shen, Y.-K.; Li, S.; Kimball, A.B. Efficacy and safety of guselkumab, an anti-interleukin-23 monoclonal antibody, compared with adalimumab for the continuous treatment of patients with moderate to severe psoriasis: Results from the phase iii, double-blinded, placebo- and active comparatore-controlled voyage 1 trial. J. Am. Acad. Dermatol. 2017, 76, 405–417. [Google Scholar]
  37. Reich, K.; Armstrong, A.W.; Foley, P.; Song, M.; Wasfi, Y.; Randazzo, B.; Li, S.; Shen, Y.K.; Gordon, K.B. Efficacy and safety of guselkumab, an anti-interleukin-23 monoclonal antibody, compared with adalimumab for the treatment of patients with moderate to severe psoriasis with randomized withdrawal and retreatment: Results from the phase iii, double-blind, placebo- and active comparatore-controlled voyage 2 trial. J. Am. Acad. Dermatol. 2017, 76, 418–431. [Google Scholar]
  38. McInnes, I.B.; Kavanaugh, A.; Gottlieb, A.B.; Puig, L.; Rahman, P.; Ritchlin, C.; Brodmerkel, C.; Li, S.; Wang, Y.; Mendelsohn, A.M.; et al. Efficacy and safety of ustekinumab in patients with active psoriatic arthritis: 1 year results of the phase 3, multicentre, double-blind, placebo-controlled psummit 1 trial. Lancet 2013, 382, 780–789. [Google Scholar] [CrossRef]
  39. Chaudhari, U.; Romano, P.; Mulcahy, L.; Dooley, L.; Baker, D.; Gottlieb, A. Efficacy and safety of infliximab monotherapy for plaque-type psoriasis: A randomised trial. Lancet 2001, 357, 1842–1847. [Google Scholar] [CrossRef]
  40. Papp, K.A.; Langley, R.G.; Lebwohl, M.; Krueger, G.G.; Szapary, P.; Yeilding, N.; Guzzo, C.; Hsu, M.-C.; Wang, Y.; Li, S.; et al. Efficacy and safety of ustekinumab, a human interleukin-12/23 monoclonal antibody, in patients with psoriasis: 52-week results from a randomised, double-blind, placebo-controlled trial (Phoenix 2). Lancet 2008, 371, 1675–1684. [Google Scholar] [CrossRef]
  41. Leonardi, C.L.; Kimball, A.B.; Papp, K.A.; Yeilding, N.; Guzzo, C.; Wang, Y.; Li, S.; Dooley, L.T.; Gordon, K.B.; PHOENIX 1 study investigators. Efficacy and safety of ustekinumab, a human interleukin-12/23 monoclonal antibody, in patients with psoriasis: 76-week results from a randomised, double-blind, placebo-controlled trial (phoenix 1). Lancet 2008, 371, 1665–1674. [Google Scholar] [CrossRef]
  42. Tyring, S.; Gottlieb, A.; Papp, K.; Gordon, K.; Leonardi, C.; Wang, A.; Lalla, D.; Woolley, M.; Jahreis, A.; Zitnik, R.; et al. Etanercept and clinical outcomes, fatigue, and depression in psoriasis: Double-blind placebo-controlled randomised phase III trial. Lancet 2006, 367, 29–35. [Google Scholar] [CrossRef]
  43. Saurat, J.-H.; Stingl, G.; Dubertret, L.; Papp, K.; Langley, R.G.; Ortonne, J.-P.; Unnebrink, K.; Kaul, M.; Camez, A.; Invest, C.S. Efficacy and safety results from the randomized controlled comparative study of adalimumab vs. Methotrexate vs. Placebo in patients with psoriasis (champion). Br. J. Dermatol. 2008, 158, 558–566. [Google Scholar] [CrossRef]
  44. Leonardi, C.; Powers, J.; Matheson, R.; Goffe, B.; Zitnik, R.; Wang, A.; Gottlieb, A.; Bagel, J.; Camisa, C.; Caro, I.; et al. Etanercept as monotherapy in patients with psoriasis. N. Engl. J. Med. 2003, 349, 2014–2022. [Google Scholar] [CrossRef] [Green Version]
  45. Baker, H.; Ryan, T. Generalized pustular psoriasis—A clinical and epidemiological study of 104 cases. Br. J. Dermatol. 1968, 80, 771–793. [Google Scholar] [CrossRef] [Green Version]
  46. Pathirana, D.; Ormerod, A.D.; Saiag, P.; Smith, C.; Spuls, P.I.; Nast, A.; Barker, J.; Bos, J.D.; Burmester, G.-R.; Chimenti, S.; et al. European S3-guidelines on the systemic treatment of psoriasis vulgaris. J. Eur. Acad. Dermatol. Venereol. 2009, 23, 5–70. [Google Scholar] [CrossRef]
  47. Nair, R.P.; Duffin, K.C.; Helms, C.; Ding, J.; Stuart, P.E.; Goldgar, D.; Gudjonsson, J.E.; Li, Y.; Tejasvi, T.; Feng, B.-J.; et al. Genome-wide scan reveals association of psoriasis with IL-23 and NF-kappa B pathways. Nat. Genet 2009, 41, 199–204. [Google Scholar] [CrossRef] [Green Version]
  48. Parisi, R.; Symmons, D.P.M.; Griffiths, C.E.M.; Ashcroft, D.M.; Management, I. Global epidemiology of psoriasis: A systematic review of incidence and prevalence. J. Investig. Dermatol. 2013, 133, 377–385. [Google Scholar] [CrossRef] [Green Version]
  49. Tsoi, L.C.; Spain, S.L.; Knight, J.; Ellinghaus, E.; Stuart, P.E.; Capon, F.; Ding, J.; Li, Y.; Tejasvi, T.; Gudjonsson, J.E.; et al. Identification of 15 new psoriasis susceptibility loci highlights the role of innate immunity. Nat. Genet 2012, 44, 1341–1348. [Google Scholar] [CrossRef] [Green Version]
  50. Trembath, R.; Clough, R.; Rosbotham, J.; Jones, A.; Camp, R.; Frodsham, A.; Browne, J.; Barber, R.; Terwilliger, J.; Lathrop, G.; et al. Identification of a major susceptibility locus on chromosome 6p and evidence for further disease loci revealed by a two stage genome-wide search in psoriasis. Hum. Mol. Genet 1997, 6, 813–820. [Google Scholar] [CrossRef] [Green Version]
  51. Ma, H.-L.; Liang, S.; Li, J.; Napierata, L.; Brown, T.; Benoit, S.; Senices, M.; Gill, D.; Dunussi-Joannopoulos, K.; Collins, M.; et al. Il-22 is required for th17 cell-mediated pathology in a mouse model of psoriasis-like skin inflammation. J. Clin. Investig. 2008, 118, 597–607. [Google Scholar] [CrossRef] [Green Version]
  52. Wolk, K.; Witte, E.; Wallace, E.; Doecke, W.-D.; Kunz, S.; Asadullah, K.; Volk, H.-D.; Sterry, W.; Sabat, R. Il-22 regulates the expression of genes responsible for antimicrobial defense, cellular differentiation, and mobility in keratinocytes: A potential role in psoriasis. Eur. J. Immunol. 2006, 36, 1309–1323. [Google Scholar] [CrossRef]
  53. Chan, J.R.; Blumenschein, W.; Murphy, E.; Diveu, C.; Wiekowski, M.; Abbondanzo, S.; Lucian, L.; Geissler, R.; Brodie, S.; Kimball, A.B.; et al. IL-23 stimulates epidermal hyperplasia via TNF and IL-20R2-dependent mechanisms with implications for psoriasis pathogenesis. J. Exp. Med. 2006, 203, 2577–2587. [Google Scholar] [CrossRef] [Green Version]
  54. van der Fits, L.; Mourits, S.; Voerman, J.S.A.; Kant, M.; Boon, L.; Laman, J.D.; Cornelissen, F.; Mus, A.-M.; Florencia, E.; Prens, E.P.; et al. Imiquimod-induced psoriasis-like skin inflammation in mice is mediated via the Il-23/Il-17 Axis. J. Immunol. 2009, 182, 5836–5845. [Google Scholar] [CrossRef] [Green Version]
  55. Hammarstrom, S.; Hamberg, M.; Samuelsson, B.; Duell, E.; Stawiski, M.; Voorhees, J. Increased concentrations of nonesterified arachidonic-acid, 12l-Hydroxy-5,8,10,14-eicosatetraenoic acid, prostaglandin-E2, and prostaglandin-F2alpha in epidermis of psoriasis. Proc. Natl. Acad. Sci. USA 1975, 72, 5130–5134. [Google Scholar] [CrossRef] [Green Version]
  56. Lowes, M.A.; Suarez-Farinas, M.; Krueger, J.G. Immunology of Psoriasis. Annu. Rev. Immunol. 2014, 32, 227–255. [Google Scholar] [CrossRef] [Green Version]
  57. Lee, E.; Trepicchio, W.; Oestreicher, J.; Pittman, D.; Wang, F.; Chamian, F.; Dhodapkar, M.; Krueger, J. Increased Expression of Interleukin 23 P19 and P40 in Lesional Skin of Patients with Psoriasis Vulgaris. J. Exp. Med. 2004, 199, 125–130. [Google Scholar] [CrossRef] [Green Version]
  58. Sommer, D.M.; Jenisch, S.; Suchan, M.; Christophers, E.; Weichenthal, M. Increased prevalence of the metabolic syndrome in patients with moderate to severe psoriasis. Arch. Dermatol. Res. 2006, 298, 321–328. [Google Scholar] [CrossRef]
  59. Gottlieb, A.; Evans, R.; Li, S.; Dooley, L.; Guzzo, C.; Baker, D.; Bala, M.; Marano, C.; Menter, A. Infliximab induction therapy for patients with severe plaque-type psoriasis: A randomized, double-blind, placebo-controlled trial. J. Am. Acad. Dermatol. 2004, 51, 534–542. [Google Scholar] [CrossRef]
  60. Reich, K.; Nestle, F.; Papp, K.; Ortonne, J.; Evans, R.; Guzzo, C.; Li, S.; Dooley, L.; Griffiths, C.; Investigators, E.S. Infliximab induction and maintenance therapy for moderate-to-severe psoriasis: A phase iii, multicentre, double-blind trial. Lancet 2005, 366, 1367–1374. [Google Scholar] [CrossRef]
  61. Chiricozzi, A.; Guttman-Yassky, E.; Suarez-Farinas, M.; Nograles, K.E.; Tian, S.; Cardinale, I.; Chimenti, S.; Krueger, J.G. Integrative responses to il-17 and tnf-alpha in human keratinocytes account for key inflammatory pathogenic circuits in psoriasis. J. Investig. Dermatol. 2011, 131, 677–687. [Google Scholar] [CrossRef]
  62. Zheng, Y.; Danilenko, D.M.; Valdez, P.; Kasman, I.; Eastham-Anderson, J.; Wu, J.; Ouyang, W. Interleukin-22, a t(h)17 cytokine, mediates il-23-induced dermal inflammation and acanthosis. Nature 2007, 445, 648–651. [Google Scholar] [CrossRef]
  63. Marrakchi, S.; Guigue, P.; Renshaw, B.R.; Puel, A.; Pei, X.-Y.; Fraitag, S.; Zribi, J.; Bal, E.; Cluzeau, C.; Chrabieh, M.; et al. Interleukin-36-receptor antagonist deficiency and generalized pustular psoriasis. N. Engl. J. Med. 2011, 365, 620–628. [Google Scholar] [CrossRef]
  64. Stern, R.; Nichols, K.; Vakeva, L. Malignant melanoma in patients treated for psoriasis with methoxsalen (psoralen) and ultraviolet a radiation (puva). N. Engl. J. Med. 1997, 336, 1041–1045. [Google Scholar] [CrossRef]
  65. Lin, A.M.; Rubin, C.J.; Khandpur, R.; Wang, J.Y.; Riblett, M.; Yalavarthi, S.; Villanueva, E.C.; Shah, P.; Kaplan, M.J.; Bruce, A.T. Mast cells and neutrophils release il-17 through extracellular trap formation in psoriasis. J. Immunol. 2011, 187, 490–500. [Google Scholar] [CrossRef] [Green Version]
  66. Nestle, F.O.; Kaplan, D.H.; Barker, J. Mechanisms of disease: Psoriasis. N. Engl. J. Med. 2009, 361, 496–509. [Google Scholar] [CrossRef]
  67. Schon, M.; Boehncke, W. Medical Progress—Psoriasis. N. Engl. J. Med. 2005, 352, 1899–1912. [Google Scholar] [CrossRef]
  68. Sonkoly, E.; Wei, T.; Janson, P.C.J.; Saaf, A.; Lundeberg, L.; Tengvall-Linder, M.; Norstedt, G.; Alenius, H.; Homey, B.; Scheynius, A.; et al. Micrornas: Novel regulators involved in the pathogenesis of psoriasis? PLoS ONE 2007, 2, e610. [Google Scholar] [CrossRef] [Green Version]
  69. Farber, E.; Nall, M. Natural-History of Psoriasis in 5600 Patients. Dermatologica 1974, 148, 1–18. [Google Scholar] [CrossRef]
  70. Melski, J.; Tanenbaum, L.; Parrish, J.; Fitzpatrick, T.; Bleich, H. Oral methoxsalen photochemotherapy for treatment of psoriasis—Cooperative clinical-trial. J. Investig. Dermatol. 1977, 68, 328–335. [Google Scholar]
  71. Detmar, M.; Brown, L.; Claffey, K.; Yee, K.; Kocher, O.; Jackman, R.; Berse, B.; Dvorak, H. Overexpression of vascular-permeability factor vascular endothelial growth-factor and its receptors in psoriasis. J. Exp. Med. 1994, 180, 1141–1146. [Google Scholar] [CrossRef]
  72. Lowes, M.A.; Bowcock, A.M.; Krueger, J.G. Pathogenesis and therapy of psoriasis. Nature 2007, 445, 866–873. [Google Scholar] [CrossRef]
  73. Armstrong, A.W.; Read, C. Pathophysiology, clinical presentation, and treatment of psoriasis a review. JAMA-J. Am. Med. Assoc. 2020, 323, 1945–1960. [Google Scholar] [CrossRef]
  74. Mehta, N.N.; Azfar, R.S.; Shin, D.B.; Neimanns, A.L.; Troxel, A.B.; Gelfand, J.M. Patients with severe psoriasis are at increased risk of cardiovascular mortality: Cohort study using the general practice research database. Eur. Heart J. 2010, 31, 1000–1006. [Google Scholar] [CrossRef] [Green Version]
  75. Lebwohl, M.; Strober, B.; Menter, A.; Gordon, K.; Weglowska, J.; Puig, L.; Papp, K.; Spelman, L.; Toth, D.; Kerdel, F.; et al. Phase 3 studies comparing brodalumab with ustekinumab in psoriasis. N. Engl. J. Med. 2015, 373, 1318–1328. [Google Scholar] [CrossRef]
  76. Gordon, K.B.; Blauvelt, A.; Papp, K.A.; Langley, R.G.; Luger, T.; Ohtsuki, M.; Reich, K.; Amato, D.; Ball, S.G.; Braun, D.K.; et al. Phase 3 trials of Ixekizumab in moderate-to-severe plaque psoriasis. N. Engl. J. Med. 2016, 375, 345–356. [Google Scholar] [CrossRef]
  77. Parrish, J.; Fitzpatrick, T.; Tanenbaum, L.; Pathak, M. Photochemotherapy of psoriasis with oral methoxsalen and longwave ultraviolet-light. N. Engl. J. Med. 1974, 291, 1207–1211. [Google Scholar] [CrossRef]
  78. Nestle, F.; Conrad, C.; Tun-Kyi, A.; Homey, B.; Gombert, M.; Boyman, O.; Burg, G.; Liu, Y.; Gilliet, M. Plasmacytoid predendritic cells initiate psoriasis through interferon-alpha production. J. Exp. Med. 2005, 202, 135–143. [Google Scholar] [CrossRef]
  79. Gelfand, J.; Weinstein, R.; Porter, S.; Neimann, A.; Berlin, J.; Margolis, D. Prevalence and treatment of psoriasis in the united kingdom—A population-based study. Arch. Dermatol. 2005, 141, 1537–1541. [Google Scholar] [CrossRef]
  80. Neimann, A.L.; Shin, D.B.; Wang, X.; Margolis, D.J.; Troxel, A.B.; Gelfand, J.M. Prevalence of cardiovascular risk factors in patients with psoriasis. J. Am. Acad. Dermatol. 2006, 55, 829–835. [Google Scholar] [CrossRef]
  81. Boehncke, W.H.; Schoen, M.P. Psoriasis. Lancet 2015, 386, 983–994. [Google Scholar] [CrossRef]
  82. Gisondi, P.; Tessari, G.; Conti, A.; Piaserico, S.; Schianchi, S.; Peserico, A.; Giannetti, A.; Girolomoni, G. Prevalence of metabolic syndrome in patients with psoriasis: A hospital-based case-control study. Br. J. Dermatol. 2007, 157, 68–73. [Google Scholar] [CrossRef]
  83. Greb, J.E.; Goldminz, A.M.; Elder, J.T.; Lebwohl, M.G.; Gladman, D.D.; Wu, J.J.; Mehta, N.N.; Finlay, A.Y.; Gottlieb, A.B. Psoriasis. Nat. Rev. Dis. Prim. 2016, 2, 16082. [Google Scholar] [CrossRef]
  84. Lebwohl, M. Psoriasis. Lancet 2003, 361, 1197–1204. [Google Scholar] [CrossRef]
  85. Griffiths, C.; Barker, J. Psoriasis 1—Pathogenesis and clinical features of Psoriasis. Lancet 2007, 370, 263–271. [Google Scholar] [CrossRef]
  86. Christophers, E. Psoriasis—Epidemiology and clinical spectrum. Clin. Exp. Dermatol. 2001, 26, 314–320. [Google Scholar] [CrossRef]
  87. Takeshita, J.; Grewal, S.; Langan, S.M.; Mehta, N.N.; Ogdie, A.; Van Voorhees, A.S.; Gelfand, J.M. Psoriasis and comorbid diseases epidemiology. J. Am. Acad. Dermatol. 2017, 76, 377–390. [Google Scholar] [CrossRef] [Green Version]
  88. Davidovici, B.B.; Sattar, N.; Joerg, P.C.; Puig, L.; Emery, P.; Barker, J.N.; van de Kerkhof, P.; Stahle, M.; Nestle, F.O.; Girolomoni, G.; et al. Psoriasis and systemic inflammatory diseases: Potential mechanistic links between skin disease and co-morbid conditions. J. Investig. Dermatol. 2010, 130, 1785–1796. [Google Scholar] [CrossRef] [Green Version]
  89. Rapp, S.; Feldman, S.; Exum, M.; Fleischer, A.; Reboussin, D. Psoriasis causes as much disability as other major medical diseases. J. Am. Acad. Dermatol. 1999, 41, 401–407. [Google Scholar] [CrossRef]
  90. Hollox, E.J.; Huffmeier, U.; Zeeuwen, P.L.J.M.; Palla, R.; Lascorz, J.; Rodijk-Olthuis, D.; van de Kerkhof, P.C.M.; Traupe, H.; de Jongh, G.; den Heijer, M.; et al. Psoriasis is associated with increased beta-defensin genomic copy number. Nat. Genet 2008, 40, 23–25. [Google Scholar] [CrossRef] [Green Version]
  91. Stern, R.; Nijsten, T.; Feldman, S.; Margolis, D.; Rolstad, T. Psoriasis is common, carries a substantial burden even when not extensive, and is associated with widespread treatment dissatisfaction. J. Investig. Dermatol. Symp. Proc. 2004, 9, 136–139. [Google Scholar] [CrossRef] [Green Version]
  92. Henseler, T.; Christophers, E. Psoriasis of early and late onset—Characterization of 2 types of psoriasis-vulgaris. J. Am. Acad. Dermatol. 1985, 13, 450–456. [Google Scholar] [CrossRef]
  93. Hawkes, J.E.; Chan, T.C.; Krueger, J.G. Psoriasis pathogenesis and the development of novel targeted immune therapies. J. Allergy Clin. Immunol. 2017, 140, 645–653. [Google Scholar] [CrossRef] [Green Version]
  94. Rendon, A.; Schaekel, K. Psoriasis pathogenesis and treatment. Int. J. Mol. Sci. 2019, 20, 1475. [Google Scholar] [CrossRef] [Green Version]
  95. Rachakonda, T.D.; Schupp, C.W.; Armstrong, A.W. Psoriasis prevalence among adults in The United States. J. Am. Acad. Dermatol. 2014, 70, 512–516. [Google Scholar] [CrossRef]
  96. Lowes, M.A.; Kikuchi, T.; Fuentes-Duculan, J.; Cardinale, I.; Zaba, L.C.; Haider, A.S.; Bowman, E.P.; Krueger, J.G. Psoriasis vulgaris lesions contain discrete populations of Th1 and Th17 T cells. J. Investig. Dermatol. 2008, 128, 1207–1211. [Google Scholar] [CrossRef]
  97. Zenz, R.; Eferl, R.; Kenner, L.; Florin, L.; Hummerich, L.; Mehic, D.; Scheuch, H.; Angel, P.; Tschachler, E.; Wagner, E. Psoriasis-like skin disease and arthritis caused by inducible epidermal deletion of jun proteins. Nature 2005, 437, 369–375. [Google Scholar] [CrossRef]
  98. Langley, R.; Krueger, G.; Griffiths, C. Psoriasis: Epidemiology, clinical features, and quality of life. Ann. Rheum. Dis. 2005, 64, 18–23. [Google Scholar] [CrossRef] [Green Version]
  99. Nickoloff, B.; Nestle, F. Recent insights into the immunopathogenesis of psoriasis provide new therapeutic opportunities. J. Clin. Investig. 2004, 113, 1664–1675. [Google Scholar] [CrossRef] [Green Version]
  100. Gottlieb, S.; Gilleaudeau, P.; Johnson, R.; Estes, L.; Woodworth, T.; Gottlieb, A.; Krueger, J. Response of psoriasis to a lymphocyte-selective toxin (dab(389)il-2) suggests a primary immune, but not keratinocyte, pathogenic basis. Nat. Med. 1995, 1, 442–447. [Google Scholar] [CrossRef]
  101. Stern, R.; Thibodeau, L.; Kleinerman, R.; Parrish, J.; Fitzpatrick, T. Risk of cutaneous carcinoma in patients treated with oral methoxsalen photochemotherapy for Psoriasis. N. Engl. J. Med. 1979, 300, 809–813. [Google Scholar] [CrossRef]
  102. Gelfand, J.M.; Neimann, A.L.; Shin, D.B.; Wang, X.; Margolis, D.J.; Troxel, A.B. Risk of myocardial infarction in patients with psoriasis. JAMA-J. Am. Med. Assoc. 2006, 296, 1735–1741. [Google Scholar] [CrossRef] [Green Version]
  103. Langley, R.G.; Elewski, B.E.; Lebwohl, M.; Reich, K.; Griffiths, C.E.M.; Papp, K.; Puig, L.; Nakagawa, H.; Spelman, L.; Sigurgeirsson, B.; et al. Secukinumab in plaque psoriasis—Results of two phase 3 trials. N. Engl. J. Med. 2014, 371, 326–338. [Google Scholar] [CrossRef] [Green Version]
  104. Nair, R.; Stuart, P.; Nistor, I.; Hiremagalore, R.; Chia, N.; Jenisch, S.; Weichenthal, M.; Abecasis, G.; Lim, H.; Christophers, E.; et al. Sequence and haplotype analysis supports hla-c as the psoriasis susceptibility 1 gene. Am. J. Hum. Genet 2006, 78, 827–851. [Google Scholar] [CrossRef] [Green Version]
  105. Arican, O.; Aral, M.; Sasmaz, S.; Ciragil, P. Serum Levels of TNF-Alpha, IFN-gamma, IL-6, IL-8, IL-12, IL-17 and IL-18 in patients with active psoriasis and correlation with disease severity. Mediat. Inflamm. 2005, 2005, 273–279. [Google Scholar] [CrossRef] [Green Version]
  106. Fredriksson, T.; Pettersson, U. Severe psoriasis—Oral therapy with a new retinoid. Dermatologica 1978, 157, 238–244. [Google Scholar] [CrossRef]
  107. Sano, S.; Chan, K.; Carbajal, S.; Clifford, J.; Peavey, M.; Kiguchi, K.; Itami, S.; Nickoloff, B.; DiGiovanni, J. STATt3 links activated keratinocytes and immunocytes required for development of psoriasis in a novel transgenic mouse model. Nat. Med. 2005, 11, 43–49. [Google Scholar] [CrossRef]
  108. Nograles, K.E.; Zaba, L.C.; Guttman-Yassky, E.; Fuentes-Duculan, J.; Suarez-Farinas, M.; Cardinale, I.; Khatcherian, A.; Gonzalez, J.; Pierson, K.C.; White, T.R.; et al. Th17 cytokines interleukin (IL)-17 and IL-22 modulate distinct inflammatory and keratinocyte-response pathways. Br. J. Dermatol. 2008, 159, 1092–1102. [Google Scholar] [CrossRef] [Green Version]
  109. Di Cesare, A.; Di Meglio, P.; Nestle, F.O. The IL-23/Th17 axis in the immunopathogenesis of psoriasis. J. Investig. Dermatol. 2009, 129, 1339–1350. [Google Scholar] [CrossRef] [Green Version]
  110. Krueger, G.; Koo, J.; Lebwohl, M.; Menter, A.; Stern, R.; Rolstad, T. The impact of psoriasis on quality of life—Results of a 1998 national psoriasis foundation patient-membership survey. Arch. Dermatol. 2001, 137, 280–284. [Google Scholar]
  111. Krueger, J. The immunologic basis for the treatment of psoriasis with new biologic agents. J. Am. Acad. Dermatol. 2002, 46, 1–26. [Google Scholar] [CrossRef]
  112. Kurd, S.K.; Troxel, A.B.; Crits-Christoph, P.; Gelfand, J.M. The risk of depression, anxiety, and suicidality in patients with psoriasis a population-based cohort study. Arch. Dermatol. 2010, 146, 891–895. [Google Scholar]
  113. Ellis, C.; Krueger, G.; Grp, A.C.S. Treatment of chronic plaque psoriasis by selective targeting of memory effector T lymphocytes. N. Engl. J. Med. 2001, 345, 248–255. [Google Scholar] [CrossRef]
  114. Homey, B.; Dieu-Nosjean, M.; Wiesenborn, A.; Massacrier, C.; Pin, J.; Oldham, E.; Catron, D.; Buchanan, M.; Muller, A.; Malefyt, R.; et al. Up-regulation of macrophage inflammatory protein-3 alpha/ccl20 and cc chemokine receptor 6 in psoriasis. J. Immunol. 2000, 164, 6621–6632. [Google Scholar] [CrossRef] [Green Version]
  115. Van Eck, N.J.; Waltman, L. Software Survey: Vosviewer, a computer program for bibliometric mapping. Scientometrics 2010, 84, 523–538. [Google Scholar] [CrossRef] [Green Version]
  116. Donthu, N.; Kumar, S.; Mukherjee, D.; Pandey, N.; Lim, W.M. How to conduct a bibliometric analysis: An overview and guidelines. J. Bus. Res. 2021, 133, 285–296. [Google Scholar] [CrossRef]
  117. Reid, C.; Griffiths, C.E.M. Psoriasis and treatment: Past, present and future aspects. Acta Dermatol. Venereol. 2020, 100, Adv00032. [Google Scholar] [CrossRef] [Green Version]
Healthcare 11 01849 g001 550
Figure 1. Prisma diagram of workflow.
Figure 1. Prisma diagram of workflow.
Healthcare 11 01849 g001
Healthcare 11 01849 g002 550
Figure 2. Articles distribution by decade.
Figure 2. Articles distribution by decade.
Healthcare 11 01849 g002
Healthcare 11 01849 g003 550
Figure 3. The bibliometric map of the selected articles based on citation patterns. (Cluster colors are as follows: cluster 1—red, cluster 2—green, cluster 3—blue, cluster 4—yellow, cluster 5—purple, cluster 6—turquoise, cluster 7—orange, cluster 8—pink) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Figure 3. The bibliometric map of the selected articles based on citation patterns. (Cluster colors are as follows: cluster 1—red, cluster 2—green, cluster 3—blue, cluster 4—yellow, cluster 5—purple, cluster 6—turquoise, cluster 7—orange, cluster 8—pink) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Healthcare 11 01849 g003
Healthcare 11 01849 g004 550
Figure 4. Map-based representation of authors contributing to more than 5 papers scored by average citations. (Color legend: the authors that had the most citations are depicted using yellow frames, while the least cited with purple frames) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Figure 4. Map-based representation of authors contributing to more than 5 papers scored by average citations. (Color legend: the authors that had the most citations are depicted using yellow frames, while the least cited with purple frames) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Healthcare 11 01849 g004
Healthcare 11 01849 g005 550
Figure 5. Top countries by total citation count and number of articles.
Figure 5. Top countries by total citation count and number of articles.
Healthcare 11 01849 g005
Healthcare 11 01849 g006 550
Figure 6. The scientometric map of the keywords from the analyzed articles. (Cluster colors are as follows: cluster 1—red, cluster 2—green, cluster 3—blue, cluster 4—yellow, cluster 5—purple, cluster 6—turquoise, cluster 7—orange) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Figure 6. The scientometric map of the keywords from the analyzed articles. (Cluster colors are as follows: cluster 1—red, cluster 2—green, cluster 3—blue, cluster 4—yellow, cluster 5—purple, cluster 6—turquoise, cluster 7—orange) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Healthcare 11 01849 g006
Healthcare 11 01849 g007 550
Figure 7. Research tendency based on the density of the keywords used in the 100 articles. (Color legend: the intensity of the yellow and green colors symbolize the frequency of respective keywords).
Figure 7. Research tendency based on the density of the keywords used in the 100 articles. (Color legend: the intensity of the yellow and green colors symbolize the frequency of respective keywords).
Healthcare 11 01849 g007
Healthcare 11 01849 g008 550
Figure 8. The scientometric map based on existing patterns of citing the same bibliography source. (Due to a high number of bibliographic clusters that led to an overview design when exporting from VOSviewer, this figure depicts the first six clusters, as follows: cluster 1—red, cluster 2—green, cluster 3—blue, cluster 4—yellow, cluster 5—purple, cluster 6—turquoise) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,56,57,58,59,60,61,62,63,64,65,66,68,69,70,71,72,73,74,75,76,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,107,108,109,110,111,112,113,114].
Figure 8. The scientometric map based on existing patterns of citing the same bibliography source. (Due to a high number of bibliographic clusters that led to an overview design when exporting from VOSviewer, this figure depicts the first six clusters, as follows: cluster 1—red, cluster 2—green, cluster 3—blue, cluster 4—yellow, cluster 5—purple, cluster 6—turquoise) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,56,57,58,59,60,61,62,63,64,65,66,68,69,70,71,72,73,74,75,76,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,107,108,109,110,111,112,113,114].
Healthcare 11 01849 g008
Healthcare 11 01849 g009 550
Figure 9. Co-citation tendency. (Color legend: the intensity of the yellow and green colors symbolizes the frequency of respective keywords) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Figure 9. Co-citation tendency. (Color legend: the intensity of the yellow and green colors symbolizes the frequency of respective keywords) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Healthcare 11 01849 g009
Healthcare 11 01849 g010 550
Figure 10. The scientometric map based on co-citation patterns. (Cluster colors are as follows: cluster 1—red, cluster 2—green, cluster 3—blue, cluster 4—yellow) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Figure 10. The scientometric map based on co-citation patterns. (Cluster colors are as follows: cluster 1—red, cluster 2—green, cluster 3—blue, cluster 4—yellow) [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Healthcare 11 01849 g010
Table
Table 1. Top 100 articles ranked by citation count [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
Table 1. Top 100 articles ranked by citation count [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114].
RankAuthorsJournalPublication YearTotal CitationsCitation Rate
1Fredriksson et al. [106]Dermatologica1978214549
2Nestle et al. [66]New England Journal of Medicine20092041157
3Parisi et al. [48]Journal of Investigative Dermatology20131507167
4Zheng et al. [62]Nature2007145097
5Boehncke et al. [81]Lancet20151338191
6Langley et al. [103]New England Journal of Medicine20141337167
7Gelfand et al. [102]JAMA—Journal of The American Medical Association2006133784
8Van der Fits et al. [54]Journal of Immunology2009129099
9Lowes et al. [72]Nature2007129186
10Griffiths et al. [85]Lancet2007124483
11Leonardi et al. [41]Lancet2008123788
12Parrish et al. [77]New England Journal of Medicine1974129627
13Papp et al. [40]Lancet2008110579
14Rapp et al. [89]Journal of The American Academy of Dermatology1999107847
15Nair et al. [47]Nature Genetics2009101078
16Lowes et al. [56]Annual Review of Immunology, Vol 32014918115
17Leonardi et al. [44]New England Journal of Medicine200393449
18Schon et al. [67]New England Journal of Medicine200587752
19Reich et al. [60]Lancet200584750
20Cargill et al. [17]American Journal of Human Genetics200784356
21Nestle et al. [78]Journal of Experimental Medicine200581248
22Tyring et al. [42]Lancet200682552
23Lowes et al. [96]Journal of Investigative Dermatology200877655
24Papp et al. [25]New England Journal of Medicine201274374
25Krueger et al. [110]Archives of Dermatology200178637
26Leonardi et al. [22]New England Journal of Medicine201273373
27Di Cesare et al. [109]Journal of Investigative Dermatology200978060
28Wolk et al. [52]European Journal of Immunology200672745
29Neimann et al. [80]Journal of The American Academy of Dermatology200673946
30Strange et al. [15]Nature Genetics201074762
31Lee et al. [57]Journal of Experimental Medicine200468938
32Chaudhari et al. [39]Lancet200172434
33Menter et al. [21]Journal of The American Academy of Dermatology200867748
34Krueger et al. [18]New England Journal of Medicine200761741
35Tsoi et al. [49]Nature Genetics201266166
36Henseler et al. [92]Journal of The American Academy of Dermatology198566018
37Christophers [86]Clinical And Experimental Dermatology200162330
38Griffiths et al. [30]New England Journal of Medicine201063453
39Lin et al. [65]Journal of Immunology201162757
40Marrakchi et al. [63]New England Journal of Medicine201161055
41Nograles et al. [108]British Journal of Dermatology200861144
42Langley et al. [98]Annals of The Rheumatic Diseases200560736
43Arican et al. [105]Mediators of Inflammation200559435
44Sonkoly et al. [68]Plos One200757738
45Detmar et al. [71]Journal of Experimental Medicine199458421
46Griffiths et al. [29]Lancet201559285
47Sano et al. [107]Nature Medicine200554432
48Papp et al. [16]British Journal of Dermatology200557334
49Mcinnes et al. [38]Lancet201356162
50Hammarstrom et al. [55]Proceedings of The National Academ197558112
51Mrowietz et al. [33]Archives of Dermatological Research201155050
52Stern et al. [91]Journal of Investigative Dermatology200455831
53Saurat et al. [43]British Journal of Dermatology200855039
54Lebwohl et al. [75]New England Journal of Medicine201553977
55Rendon et al. [94]International Journal of Molecular Sciences2019520173
56Chan et al. [53]Journal of Experimental Medicine200651032
57Stern et al. [101]New England Journal of Medicine197954413
58Rachakonda et al. [95]Journal of The American Academy of Dermatology201453567
59Lebwohl [84]Lancet200349826
60Gordon et al. [76]New England Journal of Medicine201651786
61Gottlieb et al. [100]Nature Medicine199550719
62Hollox et al. [90]Nature Genetics200850836
63Michalek et al. [20]Journal of The European Academy of Dermatology and Venereology201748196
64Pathirana et al. [46]Journal of The European Academy of Dermatology and Venereology200950739
65Henseler et al. [34]Journal of The American Academy of Dermatology199550019
66Wada et al. [24]Plos One201249249
67Ellis et al. [32]JAMA—Journal of The American Medical Association198650314
68Kagami et al. [27]Journal of Investigative Dermatology201046239
69Blauvelt et al. [36]Journal of The American Academy of201749399
70Takeshita et al. [87]Journal of The American Academy of201747294
71Nickoloff et al. [99]Journal of Clinical Investigation200441523
72Davidovici et al. [88]Journal of Investigative Dermatology201047740
73Sommer et al. [58]Archives of Dermatological Research200647730
74Abrams et al. [31]Journal of Clinical Investigation199946920
75Sugiyama et al. [35]Journal of Immunology200544426
76Ma et al. [51]Journal of Clinical Investigation200845132
77Stern et al. [64]New England Journal of Medicine199748719
78Mehta et al. [74]European Heart Journal201048841
79Ellis et al. [113]New England Journal of Medicine200146122
80Melski et al. [70]Journal of Investigative Dermatology197748311
81Gisondi et al. [82]British Journal of Dermatology200746831
82Kurd et al. [112]Archives of Dermatology201047440
83Zenz et al. [97]Nature200544226
84Hawkes et al. [93]Journal of Allergy And Clinical Immunology201744188
85Gelfand et al. [79]Archives of Dermatology200544626
86Krueger et al. [111]Journal of The American Academy of Dermatology200243122
87Lebwohl et al. [19]New England Journal of Medicine200344924
88Naldi et al. [26]Journal of Investigative Dermatology200545727
89Gottlieb et al. [59]Journal of The American Academy of Dermatology200443924
90Farber et al. [69]Dermatologica197445710
91Homey et al. [114]Journal of Immunology200042119
92Chiricozzi et al. [61] Journal of Investigative Dermatology201143740
93Greb et al. [83]Nature Reviews Disease Primers201642471
94Armstrong et al. [73]JAMA-Journal of The American Medical Association2020421211
95Reich et al. [37]Journal of The American Academy of Dermatology201742084
96Nair et al. [104]American Journal of Human Genetics200641826
97Trembath et al. [50]Human Molecular Genetics199741016
98Gordon et al. [28]Journal of The American Academy of Dermatology200640525
99Baker et al. [45]British Journal of Dermatology19684208
100Nickoloff et al. [23]American Journal of Pathology199140613
Table
Table 2. Most cited authors.
Table 2. Most cited authors.
RankAuthorArticlesTotal Citations
1Griffiths, CEM129646
2Krueger, JG127669
3Papp, K118944
4Krueger, GG107492
5Menter, A106945
6Langley, RG85747
7Lebwohl, M86318
8Nestle, F86779
9Gottlieb, A74080
10Reich, K75026
Table
Table 3. Journal metrics.
Table 3. Journal metrics.
RankJournalTotal ArticlesTotal Citations2021 Impact Factor5-Year Impact FactorAverage Citations/Publication
1New England Journal of Medicine1612,817176.08125.16801.06
2Journal of The American Academy of Dermatology12684715.4812.07570.58
3Lancet108966202.73130.84896.6
4Journal of Investigative Dermatology853777.598.38672.13
5British Journal of Dermatology5262311.119.29524.6
6Nature Genetics4292641.3739.32731.5
7Journal of Immunology427825.436.17695.5
8Journal of Experimental Medicine4259517.5716.42648.75
9Nature3318369.563.581061
10JAMA—Journal of The American Medical Association32257157.37101.12752.33
11Archives of Dermatology317064.784.45568.67
12Journal of Clinical Investigation3133519.4719.23445
13Dermatologica22602N/AN/A1301
14American Journal of Human Genetics2126011.0412.87630
15Plos One210693.754.06534.5
16Nature Medicine2105187.2468.31525.5
17Archives of Dermatological Research210253.033.19512.5
18Journal of The European Academy of Dermatology and Venereology29879.227.72493.5
19Annual Review of Immunology, Vol 32191732.4835.19917
20European Journal of Immunology17266.686.09726
21Clinical and Experimental Dermatology16234.483.19623
22Annals of The Rheumatic Diseases16072820.69607
23Mediators of Inflammation15944.525.6594
24Proceedings of The National Academy of Sciences of The United States of158112.7713.45581
25Journal of Investigative Dermatology Symposium Proceedings15573.732.48557
26International Journal of Molecular Sciences15186.26.62518
27European Heart Journal148835.8533.03488
28Journal of Allergy and Clinical Immunology144014.2913.76440
29Nature Reviews Disease Primers142465.0383.06424
30Human Molecular Genetics14105.125.99410
31American Journal of Pathology14065.775.48406
Table
Table 4. Institutions with the most articles.
Table 4. Institutions with the most articles.
RankInstitutionCountryArticlesCitationsTotal Link Strength
1Rockefeller UniversityUSA1382017
2University of ManchesterUK12978811
3Probity Medical ResearchCanada11822311
4University of MichiganUSA1053847
5University of UtahUSA10709710
6Dalhousie UniversityCanada963549
7Harvard UniversityUSA966058
8Penn UniversityUSA954734
9Saint Louis UniversityUSA862828
10Baylor UniversityUSA744747
Table
Table 5. Top 10 most used keywords.
Table 5. Top 10 most used keywords.
RankKeywordNo. of OccurrencesCluster
1Quality of life171
2Skin153
3Therapy157
4Expression142
5Dendritic cells132
6Double-blind134
7Efficacy134
8Necrosis factor alpha135
9Rheumatoid arthritis121
10Safety104
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Tiucă, O.M.; Morariu, S.H.; Mariean, C.R.; Tiucă, R.A.; Nicolescu, A.C.; Cotoi, O.S. Research Hotspots in Psoriasis: A Bibliometric Study of the Top 100 Most Cited Articles. Healthcare 2023, 11, 1849. https://doi.org/10.3390/healthcare11131849

AMA Style

Tiucă OM, Morariu SH, Mariean CR, Tiucă RA, Nicolescu AC, Cotoi OS. Research Hotspots in Psoriasis: A Bibliometric Study of the Top 100 Most Cited Articles. Healthcare. 2023; 11(13):1849. https://doi.org/10.3390/healthcare11131849

Chicago/Turabian Style

Tiucă, Oana Mirela, Silviu Horia Morariu, Claudia Raluca Mariean, Robert Aurelian Tiucă, Alin Codruț Nicolescu, and Ovidiu Simion Cotoi. 2023. "Research Hotspots in Psoriasis: A Bibliometric Study of the Top 100 Most Cited Articles" Healthcare 11, no. 13: 1849. https://doi.org/10.3390/healthcare11131849

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop