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Announcements
8 May 2026
Interview with Dr. Yonghwan Kim—Winner of the Medicina Outstanding Reviewer Award
1. What is your current research focus, and what inspired you to pursue this field?
Recently, I have primarily been conducting research on athlete injury prevention, post-injury rehabilitation strategies, and objectively verifying the effectiveness of rehabilitation interventions. I am particularly interested in lower limb injuries and balance impairments that actually occur in the sports field, as well as training methods to restore them.
My reason for choosing this field stems from my experience working in both clinical practice and the sports field; I witnessed a reality where, despite many athletes suffering from repetitive injuries, scientifically validated rehabilitation protocols were not being sufficiently applied. Feeling the need for research that presents data-driven rehabilitation strategies rather than simple empirical approaches, I naturally gravitated toward this area.
2. How was your experience reviewing for Medicina journal and what motivated you to participate actively in the peer review process?
My experience reviewing at Medicina left me with the impression that it is highly systematic and objective. Reviewers are provided with sufficient autonomy along with clear guidelines, and communication between authors and reviewers is smooth.
Thanks to this system, I felt a sense of fulfillment in contributing to the actual improvement of the quality of the papers, going beyond simply evaluating manuscripts. This became a key motivation for my active participation in the review process.
3. What are your key tips for writing a high-quality review report? What makes a review truly outstanding?
When reviewing, I place the greatest emphasis on the freshness of the research topic and whether the research methods appropriate to that topic are logically structured. An excellent review report is characterized not merely by pointing out issues, but by suggesting directions for the research to become clearer, including specific suggestions for the author to actually make revisions, and mentioning the paper's strengths in a balanced manner.
4. Based on your rich reviewing experience, could you please share the common problems that authors face?
Many authors tend to present complex graphs, tables, and an excessive amount of information at once with the intention of fully demonstrating their research results. However, this structure actually hinders the reader’s understanding and obscures the paper’s core message.
I also frequently encounter cases where the core research question is unclear or where the results and conclusions do not connect naturally.
5. What suggestions do you have for authors to make their manuscripts more readable and engaging?
Above all, it is important to clearly convey “why this research is necessary” in the introduction. Furthermore, each table and figure should be utilized as a tool to explain the story of the research, rather than merely a list of data.
If you reduce unnecessary information and structure the research question–methods–results–conclusion to flow as a single unit, the manuscript will be much more persuasive to both readers and reviewers.
6. What advice would you give to early-career researchers aiming to make a meaningful impact in their fields?
I believe it is important for emerging researchers to cultivate the ability to identify problems that remain unresolved in the field, rather than simply following trendy topics. Furthermore, even for small studies, a solid research design and an attitude of honestly interpreting results build significant trust in the long run.
Additionally, practicing reading various papers from a reviewer's perspective is a good way to rapidly develop a researcher’s capabilities.
7. In your opinion, which research topics will be of particular interest to the research community in the coming years?
I believe that research related to wearable sensors, AI-based movement analysis, and personalized rehabilitation protocols will receive even more attention in the future. In particular, research that analyzes athletes’ movement data in real time to predict injuries and automatically adjusts rehabilitation strategies accordingly will bring about significant changes in the field of sports rehabilitation.
I anticipate that convergence research, combining these technologies with clinical rehabilitation approaches, will become a very important trend in the future.