Sheene Kim
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Mitochondrial Function and Pathology 2
-
- Adipose Tissue and Metabolism 6
- Diet and metabolism studies 3
- Co-authors
- Cheol Soo Choi (11 shared papers)Gerald I. Shulman (10 shared papers)Gary W. Cline (5 shared papers)Alberto Distefano (4 shared papers)Zhenxiang Liu (4 shared papers)Yu-Jin Hwang (4 shared papers)Dongyan Zhang (3 shared papers)Ameya Kulkarni (3 shared papers)
- Journals
- Journal of Clinical Investigation (4 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS Medicine (1 paper)Journal of Biological Chemistry (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Sheene Kim
11 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 84
- Physiology 862
- Biochemistry 202
- Endocrinology, Diabetes and Metabolism 227
- Cell Biology 217
- Molecular Biology 879
Countries citing papers authored by Sheene Kim
This map shows the geographic impact of Sheene Kim'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 Sheene Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheene Kim more than expected).
Fields of papers citing papers by Sheene Kim
This network shows the impact of papers produced by Sheene Kim. 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 Sheene Kim. The network helps show where Sheene Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheene Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 312 | |
| 2 | 2007 | 285 | |
| 3 | 2007 | 257 | |
| 4 | 2008 | 228 | |
| 5 | 2007 | 161 | |
| 6 | 2007 | 142 | |
| 7 | 2008 | 74 | |
| 8 | 2008 | 41 | |
| 9 | 2010 | 16 | |
| 10 | A Prevalent Variant in PPP1R3A Impairs Glycogen Synthesis and Reduces Muscle Glycogen Content in Humans and Mice | 2008 | 15 |
| 11 | 2007 | 5 |
About Sheene Kim
Sheene Kim is a scholar working on Molecular Biology, Physiology, Surgery, Cell Biology and Epidemiology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Muscle metabolism and nutrition (3 papers), Diet and metabolism studies (3 papers), Mitochondrial Function and Pathology (2 papers), Diet, Metabolism, and Disease (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Physiology (862 citations), Biochemistry (202 citations), Endocrinology, Diabetes and Metabolism (227 citations), Cell Biology (217 citations) and Molecular Biology (879 citations). Sheene Kim has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Cheol Soo Choi, Gerald I. Shulman, Gary W. Cline, Alberto Distefano, Zhenxiang Liu, Yu-Jin Hwang, Dongyan Zhang, Ameya Kulkarni, David B. Savage and Christoph Handschin. Their work appears in journals such as Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, PLoS Medicine, Journal of Biological Chemistry and Diabetes.
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.