Moon‐Kyu Lee
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 2%
- Molecular Biology top 10%
- Physiology top 5%
- Co-authors
- Myung‐Shik LeeKwang‐Won KimJae Hyeon KimSang‐Man JinKyu Yeon HurJi Cheol BaeJae Hwan JeeKwang-Won Kim
- Topics
- Pancreatic function and diabetes (40 papers)Diabetes Management and Research (24 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Immunology
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Moon‐Kyu Lee
149 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Surgery 1.4k
- Endocrinology, Diabetes and Metabolism 1.4k
- Epidemiology 1.1k
- Molecular Biology 916
- Physiology 653
Countries citing papers authored by Moon‐Kyu Lee
This map shows the geographic impact of Moon‐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 Moon‐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 Moon‐Kyu Lee more than expected).
Fields of papers citing papers by Moon‐Kyu Lee
This network shows the impact of papers produced by Moon‐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 Moon‐Kyu Lee. The network helps show where Moon‐Kyu Lee may publish in the future.
Co-authorship network of co-authors of Moon‐Kyu Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Moon‐Kyu Lee. A scholar is included among the top collaborators of Moon‐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 Moon‐Kyu Lee. Moon‐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 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 39 | |
| 8 | 32 | |
| 9 | 144 | |
| 10 | 16 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 18 | |
| 14 | 6 | |
| 15 | 23 | |
| 16 | 105 | |
| 17 | Maximal Oxygen Uptake (VO2max) and Metabolic Syndrome. | 2 |
| 18 | 13 | |
| 19 | An Automated Machine-Vision-based Feeding System for Engine Mount Parts | 2 |
| 20 | A Pickup/Delivery Management System Using Geographic Information System and Global Positioning System | 0 |
About Moon‐Kyu Lee
Moon‐Kyu Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology, having authored 154 papers that have together received 4.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (40 papers), Diabetes Management and Research (24 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Epidemiology (1.1k citations) and Surgery (1.4k citations). Moon‐Kyu Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Myung‐Shik Lee, Kwang‐Won Kim, Jae Hyeon Kim, Sang‐Man Jin, Kyu Yeon Hur, Ji Cheol Bae, Jae Hwan Jee, Kwang-Won Kim, Ji Eun Jun and Myoung Sook Han. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.
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.