Won Jun Kim

830 citations
26 papers · 443 · h-index 11

Impact in

Papers in

Won Jun Kim

24 papers receiving 437 citations

Peers

Won Jun Kim
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 170
  • Cardiology and Cardiovascular Medicine 50
  • Biochemistry 12
  • Physiology 40
  • Nephrology 10
Replace Chih‐Tsueng He with:
Chih‐Tsueng He Taiwan
Hong Soo Lee South Korea
Havva Sezer Türkiye
V Sathiyapriya India
Feng‐Chih Shen Taiwan
Asuka Hino Japan
Sukriti Kumar India
Benjamin J Epstein United States
Halis Sonmez United States
Katarzyna Musialik Poland
Won Jun Kim relative to Chih‐Tsueng He Taiwan Chih‐Tsueng He's profile →
Citations per field
00.5×
Chih‐Tsueng He · 1×
Citations per year

Countries citing papers authored by Won Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Jun Kim. 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 Jun Kim. The network helps show where Won Jun Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Won Jun Kim, 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 Jun Kim Line = papers co-authored together Won Jun Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201286
2 201459
3 201951
4 201143
5 201237
6 201235
7 201225
8 201221
9 201817
10 202115
11 201910
12 20118
13 20127
14 20205
15 20254
16 20214
17 20203
18 20203
19 20242
20 20142

About Won Jun Kim

Won Jun Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 26 papers that have together received 443 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes Management and Research (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Cardiology and Cardiovascular Medicine (50 citations), Biochemistry (12 citations), Physiology (40 citations) and Nephrology (10 citations). Won Jun Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Cheol‐Young Park, Se Eun Park, Sung Woo Park, Won‐Young Lee, Eun‐Jung Rhee, Ki Won Oh, Sung Woo Park, Jae Seok Song, Wooyul Paik and Dong Gyu Na. Their work appears in journals such as Diabetes & Metabolism Journal, Medicine, Biochemical and Biophysical Research Communications, Journal of Alzheimer s Disease and Journal of Agricultural and Food Chemistry.

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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