In‐Kyu Lee
- Molecular Biology top 1%
- Physiology top 0.5%
- Epidemiology top 1%
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Co-authors
- Keun‐Gyu ParkDuk‐Hee LeeDuk‐Hee KangRichard J. JohnsonDavid R. JacobsJae‐Han JeonJung‐Guk KimYeon‐Kyung Choi
- Topics
- Pancreatic function and diabetes (39 papers)Metabolism, Diabetes, and Cancer (37 papers)Adipose Tissue and Metabolism (31 papers)
- Cited by
- NephrologyBiochemistryPhysiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
In‐Kyu Lee
282 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 5.3k
- Physiology 2.6k
- Epidemiology 1.9k
- Surgery 1.8k
- Endocrinology, Diabetes and Metabolism 1.7k
Countries citing papers authored by In‐Kyu Lee
This map shows the geographic impact of In‐Kyu 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 In‐Kyu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Kyu Lee more than expected).
Fields of papers citing papers by In‐Kyu Lee
This network shows the impact of papers produced by In‐Kyu 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 In‐Kyu Lee. The network helps show where In‐Kyu Lee may publish in the future.
Co-authorship network of co-authors of In‐Kyu Lee
This figure shows the co-authorship network connecting the top 25 collaborators of In‐Kyu Lee. A scholar is included among the top collaborators of In‐Kyu 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 In‐Kyu Lee. In‐Kyu 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 | 1 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 48 | |
| 6 | 36 | |
| 7 | 10 | |
| 8 | 36 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 41 | |
| 12 | 209 | |
| 13 | 41 | |
| 14 | 2 | |
| 15 | 33 | |
| 16 | 63 | |
| 17 | 35 | |
| 18 | 18 | |
| 19 | 81 | |
| 20 | Effects of Anti-thyroglobulin Antibody on the Measurement of Thyroglobulin : Differences Between Immunoradiometric Assay Kits Available | 5 |
About In‐Kyu Lee
In‐Kyu Lee is a scholar working on Biochemistry, Biological Psychiatry and Endocrinology, Diabetes and Metabolism, having authored 287 papers that have together received 13.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (39 papers), Metabolism, Diabetes, and Cancer (37 papers) and Adipose Tissue and Metabolism (31 papers). The work is most often cited by research in Nephrology (1.0k citations), Biochemistry (1.0k citations) and Physiology (2.6k citations). In‐Kyu Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Keun‐Gyu Park, Duk‐Hee Lee, Duk‐Hee Kang, Richard J. Johnson, David R. Jacobs, Jae‐Han Jeon, Jung‐Guk Kim, Yeon‐Kyung Choi, Themis Thoudam and Kyoungho Suk. 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.