Taejoon Won
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
- Immunology 17
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 4
- Co-authors
- Do Ik Lee (12 shared papers)Kwang Woo Hwang (21 shared papers)Seong Soo Joo (10 shared papers)Daniela Čiháková (16 shared papers)Monica V. Talor (13 shared papers)So‐Young Park (9 shared papers)David M. Hughes (4 shared papers)Eon Sub Park (4 shared papers)
- Journals
- Archives of Pharmacal Research (6 papers)Biomolecules & Therapeutics (3 papers)iScience (3 papers)Immune Network (3 papers)Cell Reports (3 papers)
- Partner nations
- South KoreaUnited StatesCzechia
In The Last Decade
Taejoon Won
48 papers receiving 1000 citations
Peers
Comparison fields: 5 of 94
- Biological Psychiatry 26
- Immunology 204
- Dermatology 69
- Pharmacology 62
- Cardiology and Cardiovascular Medicine 146
Countries citing papers authored by Taejoon Won
This map shows the geographic impact of Taejoon Won'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 Taejoon Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taejoon Won more than expected).
Fields of papers citing papers by Taejoon Won
This network shows the impact of papers produced by Taejoon Won. 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 Taejoon Won. The network helps show where Taejoon Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Taejoon Won, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 71 | |
| 2 | 2022 | 66 | |
| 3 | 2022 | 66 | |
| 4 | 2019 | 64 | |
| 5 | 2011 | 63 | |
| 6 | 2005 | 62 | |
| 7 | 2004 | 45 | |
| 8 | 2003 | 35 | |
| 9 | 2020 | 34 | |
| 10 | 2022 | 31 | |
| 11 | 2004 | 30 | |
| 12 | 2010 | 28 | |
| 13 | 2011 | 26 | |
| 14 | 2024 | 24 | |
| 15 | 1983 | 24 | |
| 16 | 2011 | 22 | |
| 17 | 2018 | 22 | |
| 18 | 2009 | 22 | |
| 19 | 2012 | 22 | |
| 20 | 2009 | 21 |
About Taejoon Won
Taejoon Won is a scholar working on Immunology, Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine and Physiology, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Viral Infections and Immunology Research (7 papers), CAR-T cell therapy research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Alzheimer's disease research and treatments (4 papers), T-cell and B-cell Immunology (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Eosinophilic Esophagitis (3 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Immunology (204 citations), Dermatology (69 citations), Pharmacology (62 citations) and Cardiology and Cardiovascular Medicine (146 citations). Taejoon Won has collaborated with scholars based in South Korea, United States and Czechia. Frequent co-authors include Do Ik Lee, Kwang Woo Hwang, Seong Soo Joo, Daniela Čiháková, Monica V. Talor, So‐Young Park, David M. Hughes, Eon Sub Park, Dennis E. Lopatin and D F Mangan. Their work appears in journals such as Archives of Pharmacal Research, Biomolecules & Therapeutics, iScience, Immune Network and Cell Reports.
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.