Kevin Y. Lee
- Physiology top 1%
- Molecular Biology top 5%
- Immunology top 2%
- Epidemiology top 2%
- Reproductive Medicine top 1%
- Co-authors
- C. Ronald KahnFrancesco J. DeMayoGuoxiao WangJae‐Wook JeongJérémie BoucherJohn P. LydonSiegfried UssarEnxuan Jing
- Topics
- Adipose Tissue and Metabolism (25 papers)Adipokines, Inflammation, and Metabolic Diseases (13 papers)Reproductive System and Pregnancy (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Kevin Y. Lee
43 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Physiology 1.8k
- Molecular Biology 1.6k
- Immunology 1.1k
- Epidemiology 1.1k
- Reproductive Medicine 769
Countries citing papers authored by Kevin Y. Lee
This map shows the geographic impact of Kevin Y. Lee'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 Kevin Y. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Y. Lee more than expected).
Fields of papers citing papers by Kevin Y. Lee
This network shows the impact of papers produced by Kevin Y. Lee. 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 Kevin Y. Lee. The network helps show where Kevin Y. Lee may publish in the future.
Co-authorship network of co-authors of Kevin Y. Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Y. Lee. A scholar is included among the top collaborators of Kevin Y. Lee 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 Kevin Y. Lee. Kevin Y. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | Altered adipose tissue and adipocyte function in the pathogenesis of metabolic syndromebreakdown → | 458 |
| 5 | 117 | |
| 6 | 45 | |
| 7 | 65 | |
| 8 | 230 | |
| 9 | 193 | |
| 10 | 123 | |
| 11 | 72 | |
| 12 | 171 | |
| 13 | 58 | |
| 14 | 43 | |
| 15 | 74 | |
| 16 | 65 | |
| 17 | 293 | |
| 18 | 132 | |
| 19 | 212 | |
| 20 | 10 |
About Kevin Y. Lee
Kevin Y. Lee is a scholar working on Physiology, Reproductive Medicine and Biochemistry, having authored 44 papers that have together received 4.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (25 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Reproductive System and Pregnancy (10 papers). The work is most often cited by research in Geriatrics and Gerontology (399 citations), Reproductive Medicine (769 citations) and Physiology (1.8k citations). Kevin Y. Lee has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include C. Ronald Kahn, Francesco J. DeMayo, Guoxiao Wang, Jae‐Wook Jeong, Jérémie Boucher, John P. Lydon, Siegfried Ussar, Enxuan Jing, Eric Verdin and Brice Emanuelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.