Medical Sciences | Highly Cited Papers in 2024–2025
To highlight impactful advances in medical research, Medical Sciences (Med. Sci., ISSN: 2076-3271) is pleased to present a selection of the most highly cited articles published during 2024 and 2025. This curated collection reflects the breadth and quality of research featured in the journal, encompassing key areas such as clinical medicine, translational research, public health, and emerging biomedical sciences. We hope this collection offers valuable insights and inspiration for your ongoing research and collaboration.
1. “Quantum Computing in Medicine”
by James C. L. Chow
Med. Sci. 2024, 12(4), 67; https://doi.org/10.3390/medsci12040067
Available online: https://www.mdpi.com/2076-3271/12/4/67
2. “Extracellular Vesicles’ Role in Angiogenesis and Altering Angiogenic Signaling”
by Maryam Ateeq, Mark Broadwin, Frank W. Sellke and M. Ruhul Abid
Med. Sci. 2024, 12(1), 4; https://doi.org/10.3390/medsci12010004
Available online: https://www.mdpi.com/2076-3271/12/1/4
3. “Clinical Evidence on the Potential Beneficial Effects of Diet and Dietary Supplements against COVID-19 Infection Risk and Symptoms’ Severity”
by Eleni Pavlidou, Efthymios Poulios, Sousana K. Papadopoulou, Aristeidis Fasoulas, Antonios Dakanalis and Constantinos Giaginis
Med. Sci. 2024, 12(1), 11; https://doi.org/10.3390/medsci12010011
Available online: https://www.mdpi.com/2076-3271/12/1/11
4. “Prospects and Challenges in Developing mRNA Vaccines for Infectious Diseases and Oncogenic Viruses”
by Lakshmi Venkata Simhachalam Kutikuppala, Islam Kourampi, Ramya S. D. Kanagala, Priyadarshini Bhattacharjee and Sri Harsha Boppana
Med. Sci. 2024, 12(2), 28; https://doi.org/10.3390/medsci12020028
Available online: https://www.mdpi.com/2076-3271/12/2/28
5. “Update on the Complications and Management of Liver Cirrhosis”
by Hiba Fadlallah, Diala El Masri, Hisham F. Bahmad, Wassim Abou-Kheir and Jad El Masri
Med. Sci. 2025, 13(1), 13; https://doi.org/10.3390/medsci13010013
Available online: https://www.mdpi.com/2076-3271/13/1/13
6. “Efficacy of Sorafenib-Based Therapies for Non-Small Cell Lung Cancer”
by Morgann Hendrixson, Yevgeniy Gladkiy, Anita Thyagarajan and Ravi P. Sahu
Med. Sci. 2024, 12(2), 20; https://doi.org/10.3390/medsci12020020
Available online: https://www.mdpi.com/2076-3271/12/2/20
7. “A Scoping Review on the Prevalence of Hashimoto’s Thyroiditis and the Possible Associated Factors”
by Hernando Vargas-Uricoechea, Alejandro Castellanos-Pinedo, Karen Urrego-Noguera, María V. Pinzón-Fernández, Ivonne A. Meza-Cabrera and Hernando Vargas-Sierra
Med. Sci. 2025, 13(2), 43; https://doi.org/10.3390/medsci13020043
Available online: https://www.mdpi.com/2076-3271/13/2/43
8. “Pathophysiological Mechanisms of Diabetes-Induced Macrovascular and Microvascular Complications: The Role of Oxidative Stress”
by Bipradas Roy
Med. Sci. 2025, 13(3), 87; https://doi.org/10.3390/medsci13030087
Available online: https://www.mdpi.com/2076-3271/13/3/87
9. “Novel Therapeutic Approach for Obesity: Seaweeds as an Alternative Medicine with the Latest Conventional Therapy”
by Rajesh Yadav, Ankita Nigam, Richa Mishra, Saurabh Gupta, Anis Ahmad Chaudhary, Salah-Ud-Din Khan, Eman Abdullah almuqri, Zakir Hassain Ahmed, Sarvesh Rustagi, Deependra Pratap Singh et al.
Med. Sci. 2024, 12(4), 55; https://doi.org/10.3390/medsci12040055
Available online: https://www.mdpi.com/2076-3271/12/4/55
10. “Portable Dynamic Chest Radiography: Literature Review and Potential Bedside Applications”
by Maurizio Cè, Giancarlo Oliva, Francesca Lucrezia Rabaiotti, Laura Macrì, Sharon Zollo, Alessandro Aquila and Michaela Cellina
Med. Sci. 2024, 12(1), 10; https://doi.org/10.3390/medsci12010010
Available online: https://www.mdpi.com/2076-3271/12/1/10
11. “Automated Single-Sperm Selection Software (SiD) during ICSI: A Prospective Sibling Oocyte Evaluation”
by Debbie Montjean, Marie-Hélène Godin Pagé, Carmen Pacios, Annabelle Calvé, Ghenima Hamiche, Moncef Benkhalifa and Pierre Miron
Med. Sci. 2024, 12(2), 19; https://doi.org/10.3390/medsci12020019
Available online: https://www.mdpi.com/2076-3271/12/2/19
12. “Predicting Neuroblastoma Patient Risk Groups, Outcomes, and Treatment Response Using Machine Learning Methods: A Review”
by Leila Jahangiri
Med. Sci. 2024, 12(1), 5; https://doi.org/10.3390/medsci12010005
Available online: https://www.mdpi.com/2076-3271/12/1/5
We would like to take this opportunity to thank all the research groups that submitted these exceptional papers for their contributions to Medical Sciences. We would greatly appreciate it if you could circulate this document among your colleagues or through your network.
If you would like to learn more about the contributions published in Medical Sciences, please click on the following link: https://www.mdpi.com/journal/medsci.