Cheol Soo Choi
- Molecular Biology top 2%
- Physiology top 0.5%
- Epidemiology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 2%
- Co-authors
- Gerald I. ShulmanShi‐Young ParkDongyan ZhangGary W. ClineSheene KimVarman T. SamuelZhenxiang LiuYoung‐Bum Kim
- Topics
- Adipose Tissue and Metabolism (40 papers)Metabolism, Diabetes, and Cancer (29 papers)Pancreatic function and diabetes (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Cheol Soo Choi
89 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 3.6k
- Physiology 3.0k
- Epidemiology 1.9k
- Endocrinology, Diabetes and Metabolism 1.2k
- Surgery 1.2k
Countries citing papers authored by Cheol Soo Choi
This map shows the geographic impact of Cheol Soo Choi'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 Soo Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheol Soo Choi more than expected).
Fields of papers citing papers by Cheol Soo Choi
This network shows the impact of papers produced by Cheol Soo Choi. 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 Soo Choi. The network helps show where Cheol Soo Choi may publish in the future.
Co-authorship network of co-authors of Cheol Soo Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Cheol Soo Choi. A scholar is included among the top collaborators of Cheol Soo Choi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheol Soo Choi. Cheol Soo Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 66 | |
| 4 | 43 | |
| 5 | 7 | |
| 6 | 62 | |
| 7 | 74 | |
| 8 | 262 | |
| 9 | Pathogenesis of insulin resistance | 16 |
| 10 | 86 | |
| 11 | A Prevalent Variant in PPP1R3A Impairs Glycogen Synthesis and Reduces Muscle Glycogen Content in Humans and Mice | 15 |
| 12 | 228 | |
| 13 | 41 | |
| 14 | 142 | |
| 15 | 285 | |
| 16 | 161 | |
| 17 | 325 | |
| 18 | 312 | |
| 19 | 76 | |
| 20 | 140 |
About Cheol Soo Choi
Cheol Soo Choi is a scholar working on Physiology, Biochemistry and Cell Biology, having authored 90 papers that have together received 7.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (40 papers), Metabolism, Diabetes, and Cancer (29 papers) and Pancreatic function and diabetes (20 papers). The work is most often cited by research in Physiology (3.0k citations), Endocrine and Autonomic Systems (714 citations) and Biochemistry (589 citations). Cheol Soo Choi has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Gerald I. Shulman, Shi‐Young Park, Dongyan Zhang, Gary W. Cline, Sheene Kim, Varman T. Samuel, Zhenxiang Liu, Young‐Bum Kim, Hui‐Young Lee and Alberto Distefano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.