Won Jun Kim

834 citations
30 papers · 658 · h-index 11

Impact in

Papers in

Won Jun Kim

29 papers receiving 641 citations

Peers

Won Jun Kim
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 248
  • Cardiology and Cardiovascular Medicine 64
  • Physiology 69
  • Biochemistry 15
  • Nephrology 14
Replace Charles F. Shaefer with:
Charles F. Shaefer United States
Semin Melahat Fenkçi Türkiye
Zhaojun Yang China
Ie Byung Park South Korea
Ioanna Zografou Greece
Poornima Manjrekar India
Ali Jawa Pakistan
Georgios A. Christou Greece
Xiaoyi Zhang China
Won Jun Kim relative to Charles F. Shaefer United States Charles F. Shaefer's profile →
Citations per field
00.5×1.5×
Charles F. Shaefer · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021175
2 201290
3 201462
4 201954
5 201147
6 201241
7 201235
8 201228
9 201221
10 201820
11 202116
12 201910
13 20118
14 20127
15 20205
16 20255
17 20205
18 20205
19 20214
20 20143

About Won Jun Kim

Won Jun Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Internal Medicine, Cardiology and Cardiovascular Medicine, Epidemiology and Surgery, having authored 30 papers that have together received 658 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes Management and Education (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Diabetes Management and Research (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (248 citations), Cardiology and Cardiovascular Medicine (64 citations), Physiology (69 citations), Biochemistry (15 citations) and Nephrology (14 citations). Won Jun Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Cheol‐Young Park, Se Eun Park, Sung Woo Park, Ki Won Oh, Eun‐Jung Rhee, Won‐Young Lee, Jae Seok Song, Wooyul Paik, Dong Gyu Na and Sung Woo Park. Their work appears in journals such as Diabetes & Metabolism Journal, Medicine, Journal of Alzheimer s Disease, Biochemical and Biophysical Research Communications and Experimental Diabetes Research.

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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