Won-Min Hwang

823 citations
63 papers · 627 · h-index 13

Impact in

Papers in

Won-Min Hwang

59 papers receiving 617 citations

Peers

Won-Min Hwang
Comparison fields: 5 of 78
  • Nephrology 137
  • Endocrinology, Diabetes and Metabolism 75
  • Transplantation 12
  • Epidemiology 103
  • Physiology 63
Replace Mengsi Hu with:
Mengsi Hu China
Carla María Ferri Spain
Seung-Jung Kim South Korea
Amgad A. Zaky Australia
Xiaomu Kong China
Sun Woo Kang South Korea
Yuko Tominaga Japan
Pin Zhang China
Jun Yang Zhao China
Marijana Vučić Lovrenčić Croatia
Won-Min Hwang relative to Mengsi Hu China Mengsi Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Won-Min Hwang

Since Specialization
Citations

This map shows the geographic impact of Won-Min Hwang'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 Won-Min Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won-Min Hwang more than expected).

Fields of papers citing papers by Won-Min Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won-Min Hwang. 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 Won-Min Hwang. The network helps show where Won-Min Hwang may publish in the future.

Co-authors

The 25 scholars most cited alongside Won-Min Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Won-Min Hwang Line = papers co-authored together Won-Min Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 201859
3 202057
4 201741
5 201734
6 201733
7 201629
8 201928
9 201525
10 202222
11 201918
12 202015
13 202013
14 201812
15 201410
16 201710
17 202210
18 202310
19 20057
20 20137

About Won-Min Hwang

Won-Min Hwang is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology and Public Health, Environmental and Occupational Health, having authored 63 papers that have together received 627 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (12 papers), Acute Kidney Injury Research (11 papers), Innovations in Medical Education (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Diabetes Treatment and Management (4 papers), Pancreatic function and diabetes (3 papers), Autophagy in Disease and Therapy (3 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Nephrology (137 citations), Endocrinology, Diabetes and Metabolism (75 citations), Transplantation (12 citations), Epidemiology (103 citations) and Physiology (63 citations). Won-Min Hwang has collaborated with scholars based in South Korea, United States and Lebanon. Frequent co-authors include Sung-Ro Yun, Se-Hee Yoon, Dong-Mee Lim, Jaeku Kang, Seong‐Lan Yu, Hoi Young Lee, Chang Gyo Park, Keun‐Young Park, Bo Young Jeong and Seung Yun Han. Their work appears in journals such as Kidney Research and Clinical Practice, Nephrology Dialysis Transplantation, Scientific Reports, PLoS ONE and Journal of Obesity & Metabolic Syndrome.

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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