Won Jun Lee
Impact in
- Rehabilitation top 5%
- Exercise and Physiological Responses
- Geriatrics and Gerontology top 5%
Papers in
-
- Muscle Physiology and Disorders 9
- Cell Biology 12
- Muscle metabolism and nutrition 11
- Co-authors
- Bao Ting Zhu (2 shared papers)Joong‐Youn Shim (1 shared paper)Bao Zhu (1 shared paper)Joseph M. McClung (3 shared papers)James A. Carson (3 shared papers)Sung Won Kwon (4 shared papers)Sae Bom Lee (3 shared papers)Ji Yeon Hong (3 shared papers)
- Journals
- Scientific Reports (5 papers)Molecules and Cells (5 papers)Journal of Proteome Research (2 papers)Metabolism (2 papers)Journal of Applied Physiology (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Won Jun Lee
53 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 126
- Rehabilitation 112
- Geriatrics and Gerontology 55
- Applied Microbiology and Biotechnology 27
- Biochemistry 72
- Cell Biology 190
Countries citing papers authored by Won Jun Lee
This map shows the geographic impact of Won Jun 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 Won Jun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Jun Lee more than expected).
Fields of papers citing papers by Won Jun Lee
This network shows the impact of papers produced by Won Jun 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 Won Jun Lee. The network helps show where Won Jun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Won Jun Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 371 | |
| 2 | 2005 | 278 | |
| 3 | 2016 | 132 | |
| 4 | 2016 | 66 | |
| 5 | 2002 | 55 | |
| 6 | 2003 | 47 | |
| 7 | 2014 | 45 | |
| 8 | 2003 | 43 | |
| 9 | 2018 | 41 | |
| 10 | 2020 | 39 | |
| 11 | 2013 | 35 | |
| 12 | 2019 | 34 | |
| 13 | 2014 | 32 | |
| 14 | 2005 | 28 | |
| 15 | 2011 | 26 | |
| 16 | 2009 | 26 | |
| 17 | 2009 | 21 | |
| 18 | 2011 | 21 | |
| 19 | 2012 | 21 | |
| 20 | 2013 | 19 |
About Won Jun Lee
Won Jun Lee is a scholar working on Molecular Biology, Cell Biology, Physiology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (11 papers), Muscle Physiology and Disorders (9 papers), Exercise and Physiological Responses (8 papers), Ocular Surface and Contact Lens (7 papers), Adipose Tissue and Metabolism (5 papers), Asthma and respiratory diseases (4 papers), Genetic Associations and Epidemiology (4 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Rehabilitation (112 citations), Geriatrics and Gerontology (55 citations), Applied Microbiology and Biotechnology (27 citations), Biochemistry (72 citations) and Cell Biology (190 citations). Won Jun Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Bao Ting Zhu, Joong‐Youn Shim, Bao Zhu, Joseph M. McClung, James A. Carson, Sung Won Kwon, Sae Bom Lee, Ji Yeon Hong, Yun Pyo Kang and Choon‐Sik Park. Their work appears in journals such as Scientific Reports, Molecules and Cells, Journal of Proteome Research, Metabolism and Journal of Applied Physiology.
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.