Young‐Tae Lee
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Aging top 5%
Papers in
-
- RNA Research and Splicing 4
- Co-authors
- Linda S. Cauley (4 shared papers)Hee-Chang Lim (4 shared papers)Yinghong Hu (2 shared papers)David B. Goodin (6 shared papers)Keith Bouchard (2 shared papers)Tao Wu (2 shared papers)Alexandre P. Bénéchet (1 shared paper)Kamal M. Khanna (1 shared paper)
- Journals
- Biochemistry (6 papers)Molecules and Cells (3 papers)Japanese Journal of Applied Physics (3 papers)Asian Spine Journal (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Young‐Tae Lee
94 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 147
- Immunology 822
- Aging 70
- Pharmacology 184
- Microbiology 89
- Molecular Biology 945
Countries citing papers authored by Young‐Tae Lee
This map shows the geographic impact of Young‐Tae 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 Young‐Tae Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Tae Lee more than expected).
Fields of papers citing papers by Young‐Tae Lee
This network shows the impact of papers produced by Young‐Tae 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 Young‐Tae Lee. The network helps show where Young‐Tae Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Young‐Tae 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 417 | |
| 2 | 2014 | 274 | |
| 3 | 2019 | 186 | |
| 4 | 2015 | 161 | |
| 5 | 2010 | 114 | |
| 6 | 2004 | 107 | |
| 7 | 2015 | 104 | |
| 8 | 2016 | 93 | |
| 9 | 2010 | 89 | |
| 10 | 2010 | 83 | |
| 11 | 2017 | 82 | |
| 12 | 2014 | 80 | |
| 13 | 2008 | 73 | |
| 14 | 1994 | 69 | |
| 15 | 2007 | 58 | |
| 16 | 2008 | 55 | |
| 17 | 1994 | 53 | |
| 18 | 1999 | 52 | |
| 19 | 2015 | 49 | |
| 20 | 2010 | 48 |
About Young‐Tae Lee
Young‐Tae Lee is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Immunology, Plant Science and Urology, having authored 103 papers that have together received 3.2k indexed citations. Recurring topics across this work include Urological Disorders and Treatments (7 papers), GABA and Rice Research (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Metal-Catalyzed Oxygenation Mechanisms (5 papers), Immune Cell Function and Interaction (5 papers), Wind Energy Research and Development (4 papers), RNA Research and Splicing (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (822 citations), Aging (70 citations), Pharmacology (184 citations), Microbiology (89 citations) and Molecular Biology (945 citations). Young‐Tae Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Linda S. Cauley, Hee-Chang Lim, Yinghong Hu, David B. Goodin, Keith Bouchard, Tao Wu, Alexandre P. Bénéchet, Kamal M. Khanna, Jaehoon Lee and Brian S. Sheridan. Their work appears in journals such as Biochemistry, Molecules and Cells, Japanese Journal of Applied Physics, Asian Spine Journal and Proceedings of the National Academy of Sciences.
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.