Se‐Jin Lee
- Aging top 0.5%
- Physiology top 0.2%
- Adipose Tissue and Metabolism 14
- Nutrition and Health in Aging 9
- Cell Biology top 0.2%
- Muscle metabolism and nutrition 9
- Molecular Biology top 0.2%
- Muscle Physiology and Disorders 41
- TGF-β signaling in diseases 16
- Genetics top 0.5%
- Neurogenetic and Muscular Disorders Research 6
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- GDF15 and Related Biomarkers 10
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- Cardiomyopathy and Myosin Studies 7
- Co-authors
- Alexandra C. McPherronAnn M. LawlerKathryn R. WagnerTeresa A. ZimmersThanh V. HuynhNeil M. WolfmanMonique V. DaviesSuzanne M. Sebald
- Cited by
- AgingPhysiologyCell Biology
- Journals
- Proceedings of the National Academy of Sciences (11 papers)Journal of Clinical Investigation (5 papers)Endocrinology (4 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Se‐Jin Lee
95 papers receiving 15.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Aging 355
- Physiology 4.8k
- Cell Biology 2.9k
- Molecular Biology 12.2k
- Genetics 1.4k
Countries citing papers authored by Se‐Jin Lee
This map shows the geographic impact of Se‐Jin 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 Se‐Jin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Se‐Jin Lee more than expected).
Fields of papers citing papers by Se‐Jin Lee
This network shows the impact of papers produced by Se‐Jin 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 Se‐Jin Lee. The network helps show where Se‐Jin Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Se‐Jin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 35 | |
| 10 | 2021 | 59 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 39 | |
| 13 | 2020 | 83 | |
| 14 | 2020 | 16 | |
| 15 | 2018 | 18 | |
| 16 | 2016 | 218 | |
| 17 | 2015 | 2 | |
| 18 | 2012 | 16 | |
| 19 | 2002 | 421 | |
| 20 | Effects of Schizandra chinensis fructus on the Immunoregulatory Action and Apoptosis of L1210 cells | 2001 | 11 |
About Se‐Jin Lee
Se‐Jin Lee is a scholar working on Physiology, Molecular Biology, Genetics, Cell Biology and Rheumatology, having authored 96 papers that have together received 15.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (41 papers), TGF-β signaling in diseases (16 papers), Adipose Tissue and Metabolism (14 papers), GDF15 and Related Biomarkers (10 papers), Muscle metabolism and nutrition (9 papers), Nutrition and Health in Aging (9 papers), Cardiomyopathy and Myosin Studies (7 papers) and Neurogenetic and Muscular Disorders Research (6 papers). The work is most often cited by research in Aging (355 citations), Physiology (4.8k citations), Cell Biology (2.9k citations), Molecular Biology (12.2k citations) and Genetics (1.4k citations). Se‐Jin Lee has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Alexandra C. McPherron, Ann M. Lawler, Kathryn R. Wagner, Teresa A. Zimmers, Thanh V. Huynh, Neil M. Wolfman, Monique V. Davies, Suzanne M. Sebald, James F. Tobin and Leslie E. Stolz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation, Endocrinology, The Journals of Gerontology Series A and Antioxidants.
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.