Taejoon Won
Impact in
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- Viral Infections and Immunology Research
- Cardiac Fibrosis and Remodeling
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- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 10
- T-cell and B-cell Immunology 4
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- Neuroinflammation and Neurodegeneration Mechanisms 5
- Co-authors
- Do Ik Lee (12 shared papers)Kwang Woo Hwang (21 shared papers)Seong Soo Joo (10 shared papers)Daniela Čiháková (14 shared papers)Monica Vladut Talor (11 shared papers)So‐Young Park (9 shared papers)Eon Sub Park (4 shared papers)Bongjoon Kim (3 shared papers)
- Journals
- Archives of Pharmacal Research (6 papers)Biomolecules & Therapeutics (3 papers)Cell Reports (3 papers)iScience (3 papers)Immune Network (3 papers)
- Partner nations
- South KoreaUnited StatesCzechia
In The Last Decade
Taejoon Won
45 papers receiving 1k citations
Peers
Comparison fields: 5 of 80
- Cardiology and Cardiovascular Medicine 187
- Oncology 145
- Neurology 47
- Food Science 114
- Dermatology 47
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 92 | |
| 2 | 2011 | 69 | |
| 3 | 2022 | 69 | |
| 4 | 2018 | 68 | |
| 5 | 2011 | 64 | |
| 6 | 2005 | 62 | |
| 7 | 2004 | 48 | |
| 8 | 2022 | 36 | |
| 9 | 2020 | 35 | |
| 10 | 2003 | 34 | |
| 11 | 2024 | 32 | |
| 12 | 2004 | 29 | |
| 13 | 2010 | 28 | |
| 14 | 2011 | 26 | |
| 15 | 2024 | 26 | |
| 16 | 2018 | 24 | |
| 17 | 2009 | 22 | |
| 18 | 2011 | 22 | |
| 19 | 2012 | 22 | |
| 20 | 2024 | 22 |
About Taejoon Won
Taejoon Won is a scholar working on Immunology, Neurology, Cardiology and Cardiovascular Medicine, Food Science and Rheumatology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), T-cell and B-cell Immunology (4 papers), Viral Infections and Immunology Research (4 papers), Ginseng Biological Effects and Applications (3 papers), Dermatology and Skin Diseases (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (187 citations), Oncology (145 citations), Neurology (47 citations), Food Science (114 citations) and Dermatology (47 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 Vladut Talor, So‐Young Park, Eon Sub Park, Bongjoon Kim, William Bracamonte‐Baran and Hyeyoung Min. Their work appears in journals such as Archives of Pharmacal Research, Biomolecules & Therapeutics, Cell Reports, iScience and Immune Network.
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.