Cheol Son
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Endocrine and Autonomic Systems top 10%
Papers in
- Physiology 14
- Adipose Tissue and Metabolism 10
- Surgery 10
- Lipoproteins and Cardiovascular Health 5
- Pancreatic function and diabetes 4
- Co-authors
- Kiminori Hosoda (22 shared papers)Kazuwa Nakao (9 shared papers)Junichi Matsuda (4 shared papers)Gen Inoue (3 shared papers)Yukio Yamori (4 shared papers)Kentaro Doi (4 shared papers)Yasunao Yoshimasa (2 shared papers)Haruo Nishimura (2 shared papers)
- Journals
- Diabetes Therapy (3 papers)Scientific Reports (2 papers)Diabetes (2 papers)Endocrinology (2 papers)Journal of clinical lipidology (2 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Cheol Son
35 papers receiving 876 citations
Peers
Comparison fields: 5 of 86
- Physiology 447
- Endocrine and Autonomic Systems 57
- Cell Biology 127
- Endocrinology, Diabetes and Metabolism 121
- Nutrition and Dietetics 95
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 172 | |
| 2 | 2001 | 80 | |
| 3 | 2011 | 74 | |
| 4 | 1998 | 58 | |
| 5 | 2019 | 53 | |
| 6 | 2004 | 49 | |
| 7 | 2011 | 49 | |
| 8 | 2010 | 42 | |
| 9 | 2019 | 37 | |
| 10 | 2017 | 29 | |
| 11 | 2017 | 25 | |
| 12 | 2018 | 25 | |
| 13 | 2014 | 25 | |
| 14 | 2001 | 21 | |
| 15 | 2020 | 16 | |
| 16 | 2008 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2000 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2021 | 12 |
About Cheol Son
Cheol Son is a scholar working on Physiology, Surgery, Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology, having authored 36 papers that have together received 892 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Diabetes Treatment and Management (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Pancreatic function and diabetes (4 papers), Muscle metabolism and nutrition (4 papers), Regulation of Appetite and Obesity (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Physiology (447 citations), Endocrine and Autonomic Systems (57 citations), Cell Biology (127 citations), Endocrinology, Diabetes and Metabolism (121 citations) and Nutrition and Dietetics (95 citations). Cheol Son has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Kiminori Hosoda, Kazuwa Nakao, Junichi Matsuda, Gen Inoue, Yukio Yamori, Kentaro Doi, Yasunao Yoshimasa, Haruo Nishimura, Yasutomo Fukunaga and Tokuji Tanaka. Their work appears in journals such as Diabetes Therapy, Scientific Reports, Diabetes, Endocrinology and Journal of clinical lipidology.
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.