Junseok Jeon (Samsung Medical Center, Sungkyunkwan University School of Medicine)

KSN 2025

Curriculum Vitae

Name Junseok Jeon

Country Korea, Republic of
Affiliation Samsung Medical Center, Sungkyunkwan University School of Medicine
Department Internal Medicine-Nephrology
Educational Background & Professional Career

2006 M.D. Sungkyunkwan University School of Medicine, Suwon-Si, Gyeonggi-do, Korea
2019 M.S. (Internal Medicine) Sungkyunkwan University Graduate School of Medicine, Seoul, Korea
2022 Ph.D. (Internal Medicine) Sungkyunkwan University Graduate School of Medicine, Seoul, Korea

2022.03 – 20250.2 Clinical Professor, Division of Nephrology, Samsung Medical Center
2025.03 – present Associate Professor, Department of Medicine, Sungkyunkwan University School of Medicine

Research Interests

Critical care nephrology, Hereditary kidney diseases, machine learning applications in kidney disease, onconephrology, iPSC-derived disease modeling

Publications

1. Lee S, Yoon S, Kim S, Jeon H, Lee K, Jang HR, Lee JE, Huh W, Jeon J*. Renal outcomes with renin-angiotensin system blockers after unilateral nephrectomy. Kidney International Reports. 2025;10(1):184-196. doi: 10.1016/j.ekir.2024.09.022

2. Jeon J, Kim G, Kim BY, Son EJ, Do JY, Lee JE, et al. Kidney and cardiovascular outcomes in older population with mildly to moderately decreased kidney function: a nationwide cohort study. American Journal of Nephrology. 2024;56(2):123-135. doi: 10.1159/000541832

3. Jeon J, Lee K, Jang HR, Yang KE, Lee CJ, Ahn H, Park WY, Lee JE, Kwon GY, Kim YG, Huh W. Effects of poly (ADP-ribose) polymerase inhibitor treatment on the repair process of ischemic acute kidney injury. Scientific Reports. 2024;14:159. doi: 10.1038/s41598-023-50630-2

4. Jeon J, Lee K, Jeon H, Yang KE, Lee CJ, Lee JE, Kwon GY, Huh W, Jang HR. Dietary modifications affect renal recovery during the healing phase following ischemic acute kidney injury. Frontiers in Cell and Developmental Biology. 2025;13:1494660. doi: 10.3389/fcell.2025.1494660

5. Jeon J, Song Y, Yu JY, Lee K, Lee JE, Huh W, Cha WC*, Jang HR*. Prediction of post-donation renal function using machine learning techniques and conventional regression models in living kidney donors. Journal of Nephrology. 2024;37(6):1679-1687. doi: 10.1007/s40620-024-02027-1

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