Sang-Yun Lee
- Endocrinology top 2%
- Escherichia coli research studies 5
- Immunology top 5%
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 7
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 3
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- Endoplasmic Reticulum Stress and Disease 2
- Biotechnology top 10%
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- CAR-T cell therapy research 3
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- Cell death mechanisms and regulation 3
- Genomics, phytochemicals, and oxidative stress 2
- Co-authors
- Vernon L. TeshRama P. CherlaDavid L. WiestMoo‐Seung LeeDietmar J. KappesMichele RhodesJuan Carlos Zúñiga‐PflückerGladys W. Wong
- Journals
- Nature Communications (1 paper)The Journal of Experimental Medicine (1 paper)Blood (1 paper)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Sang-Yun Lee
20 papers receiving 897 citations
Peers
Comparison fields: 5 of 76
- Endocrinology 212
- Immunology 446
- Infectious Diseases 159
- Cell Biology 105
- Biotechnology 55
Countries citing papers authored by Sang-Yun Lee
This map shows the geographic impact of Sang-Yun 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 Sang-Yun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang-Yun Lee more than expected).
Fields of papers citing papers by Sang-Yun Lee
This network shows the impact of papers produced by Sang-Yun 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 Sang-Yun Lee. The network helps show where Sang-Yun Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sang-Yun 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 | 2024 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2016 | 28 | |
| 5 | 2014 | 25 | |
| 6 | 2014 | 63 | |
| 7 | 2013 | 42 | |
| 8 | 2012 | 109 | |
| 9 | 2011 | 28 | |
| 10 | 2010 | 32 | |
| 11 | 2009 | 119 | |
| 12 | 2009 | 15 | |
| 13 | 2008 | 134 | |
| 14 | 2008 | 23 | |
| 15 | 2006 | 31 | |
| 16 | 2005 | 37 | |
| 17 | 2005 | 45 | |
| 18 | 2005 | 65 | |
| 19 | 2003 | 86 | |
| 20 | Phytochemical Constituents of Acanthopanax senticosus (Rupr. & Maxim.) Harms Stem | 2003 | 3 |
About Sang-Yun Lee
Sang-Yun Lee is a scholar working on Endocrinology, Immunology and Physiology, having authored 21 papers that have together received 918 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (7 papers), Escherichia coli research studies (5 papers), Viral gastroenteritis research and epidemiology (3 papers), CAR-T cell therapy research (3 papers), Cell death mechanisms and regulation (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Endocrinology (212 citations), Immunology (446 citations) and Infectious Diseases (159 citations). Sang-Yun Lee has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Vernon L. Tesh, Rama P. Cherla, David L. Wiest, Moo‐Seung Lee, Dietmar J. Kappes, Michele Rhodes, Juan Carlos Zúñiga‐Pflücker, Gladys W. Wong, Juliette M. Lefebvre and Jason Stadanlick. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and Blood.
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.