Cheol Son
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Endocrine and Autonomic Systems top 10%
Papers in
- Physiology 13
- Adipose Tissue and Metabolism 9
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- Regulation of Appetite and Obesity 4
- Co-authors
- Kiminori Hosoda (23 shared papers)Kazuwa Nakao (9 shared papers)Yukio Yamori (4 shared papers)Junichi Matsuda (4 shared papers)Gen Inoue (3 shared papers)Kentaro Doi (4 shared papers)Haruo Nishimura (2 shared papers)Yasunao Yoshimasa (2 shared papers)
- Journals
- Diabetes Therapy (3 papers)Diabetes (2 papers)Endocrinology (2 papers)Journal of clinical lipidology (2 papers)Diabetes Research and Clinical Practice (2 papers)
- Partner nations
- JapanSouth KoreaFrance
In The Last Decade
Cheol Son
39 papers receiving 937 citations
Peers
Comparison fields: 5 of 85
- Physiology 422
- Endocrine and Autonomic Systems 54
- Cell Biology 104
- Endocrinology, Diabetes and Metabolism 92
- Nutrition and Dietetics 84
Countries citing papers authored by Cheol Son
This map shows the geographic impact of Cheol Son'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 Cheol Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheol Son more than expected).
Fields of papers citing papers by Cheol Son
This network shows the impact of papers produced by Cheol Son. 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 Cheol Son. The network helps show where Cheol Son may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheol Son, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 174 | |
| 2 | 2001 | 81 | |
| 3 | 2011 | 74 | |
| 4 | 2019 | 62 | |
| 5 | 1998 | 58 | |
| 6 | 2011 | 52 | |
| 7 | 2004 | 52 | |
| 8 | 2019 | 41 | |
| 9 | 2010 | 40 | |
| 10 | 2017 | 31 | |
| 11 | 2017 | 27 | |
| 12 | 2014 | 26 | |
| 13 | 2018 | 26 | |
| 14 | 2020 | 21 | |
| 15 | 2001 | 21 | |
| 16 | 2021 | 18 | |
| 17 | 2008 | 17 | |
| 18 | 2000 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2021 | 13 |
About Cheol Son
Cheol Son is a scholar working on Physiology, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Epidemiology and Cell Biology, having authored 41 papers that have together received 960 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Lipoproteins and Cardiovascular Health (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Regulation of Appetite and Obesity (4 papers), Muscle metabolism and nutrition (3 papers), Diabetes Treatment and Management (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Physiology (422 citations), Endocrine and Autonomic Systems (54 citations), Cell Biology (104 citations), Endocrinology, Diabetes and Metabolism (92 citations) and Nutrition and Dietetics (84 citations). Cheol Son has collaborated with scholars based in Japan, South Korea and France. Frequent co-authors include Kiminori Hosoda, Kazuwa Nakao, Yukio Yamori, Junichi Matsuda, Gen Inoue, Kentaro Doi, Haruo Nishimura, Yasunao Yoshimasa, Hisashi Makino and Tokuji Tanaka. Their work appears in journals such as Diabetes Therapy, Diabetes, Endocrinology, Journal of clinical lipidology 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.