Eun Sil Koh

1.4k total citations
62 papers, 1.0k citations indexed

About

Eun Sil Koh is a scholar working on Nephrology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Eun Sil Koh has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Nephrology, 17 papers in Surgery and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Eun Sil Koh's work include Chronic Kidney Disease and Diabetes (13 papers), Renal Diseases and Glomerulopathies (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Eun Sil Koh is often cited by papers focused on Chronic Kidney Disease and Diabetes (13 papers), Renal Diseases and Glomerulopathies (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Eun Sil Koh collaborates with scholars based in South Korea, United States and Netherlands. Eun Sil Koh's co-authors include Sungjin Chung, Seok Joon Shin, Cheol Whee Park, Kyungdo Han, Hyuk‐Sang Kwon, Mee Kyoung Kim, Yoon Sik Chang, Hye Eun Yoon, Ga Eun Nam and Eun Sook Kim and has published in prestigious journals such as PLoS ONE, Diabetes Care and Scientific Reports.

In The Last Decade

Eun Sil Koh

59 papers receiving 1.0k citations

Peers

Eun Sil Koh

NEPHR

EDM

SURGE

PHYSI

Horacio Osorio‐Alonso Mexico

Bernard Man Yung Cheung Hong Kong

Ayhan Doğukan Türkiye

Cristino Cruz Mexico

Paik‐Seong Lim Taiwan

Paolo Di Giosia Italy

Youbao Li China

Ouppatham Supasyndh Thailand

Nataša Bogavac‐Stanojević Serbia

Young Youl Hyun South Korea

Horacio Osorio‐Alonso Mexico

Eun Sil Koh

256 ×1.0

NEPHR

302 ×1.3

EDM

343 ×1.7

198 ×1.1

SURGE

230 ×1.6

PHYSI

Citations per year, relative to Eun Sil Koh Eun Sil Koh (= 1×) peers Horacio Osorio‐Alonso

Countries citing papers authored by Eun Sil Koh

Since Specialization

Citations

This map shows the geographic impact of Eun Sil Koh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eun Sil Koh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun Sil Koh more than expected).

Fields of papers citing papers by Eun Sil Koh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Sil Koh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eun Sil Koh. The network helps show where Eun Sil Koh may publish in the future.

Co-authorship network of co-authors of Eun Sil Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Sil Koh. A scholar is included among the top collaborators of Eun Sil Koh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eun Sil Koh. Eun Sil Koh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Min, Ji Won, Byung Ha Chung, Eun Sil Koh, et al.. (2025). A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation. Journal of Medical Internet Research. 27. e62853–e62853. 2 indexed citations

Han, Kyungdo, et al.. (2025). Fecal Calprotectin as a Prognostic Biomarker for Mortality and Renal Outcomes in Chronic Kidney Disease. Biomolecules. 15(4). 557–557. 1 indexed citations

Koh, Eun Sil & Sungjin Chung. (2024). Recent Update on Acute Kidney Injury-to-Chronic Kidney Disease Transition. Yonsei Medical Journal. 65(5). 247–247. 15 indexed citations

Jeon, Junseok, Eun Jeong Ko, Hye‐Jeong Park, et al.. (2024). Validation of prediction model for successful discontinuation of continuous renal replacement therapy: a multicenter cohort study. Kidney Research and Clinical Practice. 43(4). 528–537.

Yun, Donghwan, Seung Seok Han, Jeonghwan Lee, et al.. (2024). Study protocol for a consortium linking health medical records, biospecimens, and biosignals in Korean patients with acute kidney injury (LINKA cohort). Kidney Research and Clinical Practice. 45(2). 274–283.

Min, Ji Won, Eun Sil Koh, Eun Jeong Ko, et al.. (2024). Mortality of elderly patients with acute kidney injury undergoing continuous renal replacement therapy: is age a risk factor?. Kidney Research and Clinical Practice. 43(4). 505–517. 1 indexed citations

Park, Sehoon, Chung Hee Baek, Hyunjeong Cho, et al.. (2024). Conventional machine learning-based prediction models did not outperform the International IgA Nephropathy Prediction Tool. Kidney Research and Clinical Practice. 44(5). 802–813. 1 indexed citations

Min, Ji Won, Byung Ha Chung, Eun Sil Koh, et al.. (2024). Predicting long-term mortality of patients with postoperative acute kidney injury following noncardiac general anesthesia surgery using machine learning. Kidney Research and Clinical Practice. 45(2). 198–209. 1 indexed citations

Koh, Eun Sil, et al.. (2023). Therapeutic roles of thiazides and loop diuretics in blood pressure control and renal protection against chronic kidney disease. Clinical Hypertension. 29(1). 14–14. 7 indexed citations

10.

Choi, Soo Jeong, Su Hyun Kim, Samel Park, et al.. (2023). A questionnaire survey on the diagnosis and treatment of Fabry nephropathy in clinical practice. Kidney Research and Clinical Practice. 42(5). 628–638. 3 indexed citations

11.

Choi, Won Jung, Yu Ah Hong, Ji Won Min, et al.. (2021). Hypertriglyceridemia Is Associated with More Severe Histological Glomerulosclerosis in IgA Nephropathy. Journal of Clinical Medicine. 10(18). 4236–4236. 6 indexed citations

12.

Han, Kyungdo, Mee Kyoung Kim, Eun Sil Koh, et al.. (2020). Combinations of metabolic syndrome components and the risk of type 2 diabetes mellitus: A nationwide cohort study. Diabetes Research and Clinical Practice. 165. 108237–108237. 17 indexed citations

13.

Kim, Minyoung, Sungjin Chung, Seok Joon Shin, Yoon Sik Chang, & Eun Sil Koh. (2017). MP369D PINITOL ALLEVIATES CYCLOSPORINE-INDUCED RENAL FIBROSIS VIA THE ACTIVATION OF SIRT1 AND NRF2 ANTIOXIDANT PATHWAYS. Nephrology Dialysis Transplantation. 32(suppl_3). iii561–iii562. 1 indexed citations

14.

Chung, Sungjin, Eun Sil Koh, Hyeon Seok Hwang, et al.. (2017). Serum 1,25-dihydroxyvitamin D Better Reflects Renal Parameters Than 25-hydoxyvitamin D in Patients with Glomerular Diseases. International Journal of Medical Sciences. 14(11). 1080–1087. 6 indexed citations

15.

Park, Woo Yeong, Eun Sil Koh, Su Hyun Kim, et al.. (2015). Serum Gamma-Glutamyltransferase Levels Predict Clinical Outcomes in Hemodialysis Patients. PLoS ONE. 10(9). e0138159–e0138159. 5 indexed citations

16.

Koh, Eun Sil, et al.. (2015). Posterior nutcracker phenomenon with Down syndrome. Kidney Research and Clinical Practice. 34(4). 245–246. 2 indexed citations

17.

Chung, Sungjin, Hye Eun Yoon, Sung Jun Kim, et al.. (2014). Oleanolic acid attenuates renal fibrosis in mice with unilateral ureteral obstruction via facilitating nuclear translocation of Nrf2. Nutrition & Metabolism. 11(1). 2–2. 50 indexed citations

18.

Hwang, Hyeon Seok, Eun Sil Koh, Hye Eun Yoon, et al.. (2012). Decisive Indicator for Gastrointestinal Workup in Anemic Patients with Nondialysis Chronic Kidney Disease. International Journal of Medical Sciences. 9(8). 634–641. 8 indexed citations

19.

Kim, Jungyoon, et al.. (2011). The Diagnostic Usefulness of the Fiberoptic Endoscopic Evaluation of Swallowing. Annals of Rehabilitation Medicine. 35(1). 14–22. 6 indexed citations

20.

Koh, Eun Sil, Sang‐Bum Kang, Jeong Hwa Lee, et al.. (2010). A Case of Strongyloides Stercoralis Concurrently Invading the Stomach and Colon. Clinical Endoscopy. 41(2). 123–127. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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