Jong Chul Won

3.8k citations
83 papers · 3.0k · h-index 30

Impact in

Papers in

Jong Chul Won

78 papers receiving 2.9k citations

Peers

Jong Chul Won
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 838
  • Endocrine and Autonomic Systems 315
  • Physiology 1.1k
  • Biochemistry 252
  • Geriatrics and Gerontology 93
Replace Annalisa Natalicchio with:
Annalisa Natalicchio Italy
Sebastio Perrini Italy
Eun Hee Koh South Korea
Francis Kim United States
Takahisa Hirose Japan
Paolo Sbraccia Italy
James Brown United Kingdom
Tomohiro Katsuya Japan
Bryan C. Bergman United States
Frederico G. S. Toledo United States
Jong Chul Won relative to Annalisa Natalicchio Italy Annalisa Natalicchio's profile →
Citations per field
00.5×1.5×2.2×
Annalisa Natalicchio · 1×
Citations per year

Countries citing papers authored by Jong Chul Won

Since Specialization
Citations

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

Fields of papers citing papers by Jong Chul Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005353
2 2006272
3 2005186
4 2009128
5 2013124
6 2005112
7 2019100
8 201486
9 201376
10 201274
11 201370
12 201667
13 201465
14 201462
15 200961
16 200961
17 200559
18 201455
19 201447
20 200943

About Jong Chul Won

Jong Chul Won is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 83 papers that have together received 3.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (20 papers), Diabetes Treatment and Management (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Diabetes Management and Research (10 papers), Botulinum Toxin and Related Neurological Disorders (10 papers), Pain Mechanisms and Treatments (10 papers), Pancreatic function and diabetes (10 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (838 citations), Endocrine and Autonomic Systems (315 citations), Physiology (1.1k citations), Biochemistry (252 citations) and Geriatrics and Gerontology (93 citations). Jong Chul Won has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joong‐Yeol Park, Eun Hee Koh, Ki‐Up Lee, Kyung Soo Ko, Hyuk‐Sang Kwon, Min‐Seon Kim, Min-Seon Kim, Tae Sun Park, Dae Jung Kim and Kee‐Ho Song. Their work appears in journals such as Diabetes & Metabolism Journal, Diabetes Obesity and Metabolism, PLoS ONE, Medicine and Journal of Korean Medical Science.

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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