Jong Chul Won

3.8k citations
85 papers · 3.1k · h-index 31

Impact in

Papers in

Jong Chul Won

81 papers receiving 3.0k citations

Peers

Jong Chul Won
Comparison fields: 5 of 113
  • Endocrine and Autonomic Systems 291
  • Endocrinology, Diabetes and Metabolism 616
  • Physiology 885
  • Biochemistry 261
  • Geriatrics and Gerontology 71
Replace Annalisa Natalicchio with:
Annalisa Natalicchio Italy
Sebastio Perrini Italy
Ubiratan Fabres Machado Brazil
Bryan C. Bergman United States
Eun Hee Koh South Korea
Jean‐Pierre Montani Switzerland
Jacob M. Haus United States
Leo Cornelius Bollheimer Germany
Robert C. Noland United States
Mariëtte R. Boon Netherlands
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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005364
2 2006282
3 2005195
4 2009132
5 2013125
6 2005118
7 2019101
8 201485
9 201377
10 201276
11 201375
12 201670
13 201469
14 201463
15 200962
16 200561
17 200961
18 201455
19 201450
20 202344

About Jong Chul Won

Jong Chul Won is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 85 papers that have together received 3.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (17 papers), Metabolism, Diabetes, and Cancer (10 papers), Pain Mechanisms and Treatments (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Adipose Tissue and Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Botulinum Toxin and Related Neurological Disorders (5 papers) and Regulation of Appetite and Obesity (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (291 citations), Endocrinology, Diabetes and Metabolism (616 citations), Physiology (885 citations), Biochemistry (261 citations) and Geriatrics and Gerontology (71 citations). Jong Chul Won has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Joong‐Yeol Park, Eun Hee Koh, Ki‐Up Lee, Kyung Soo Ko, Hyuk‐Sang Kwon, Min‐Seon Kim, Kee‐Ho Song, Hyoun Sik Kim, Tae Sun Park and Min-Seon Kim. Their work appears in journals such as Diabetes & Metabolism Journal, Diabetes Obesity and Metabolism, PLoS ONE, Medicine and Diabetes Research and Clinical Practice.

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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