T-C Wu
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Epidemiology top 10%
- Cervical Cancer and HPV Research
- Hepatitis B Virus Studies
Papers in
- Immunology 14
- Immunotherapy and Immune Responses 13
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
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- Cervical Cancer and HPV Research 5
- Hepatitis B Virus Studies 4
- Co-authors
- Chien‐Fu Hung (17 shared papers)Archana Monie (3 shared papers)Liangmei He (6 shared papers)Barbara Ma (3 shared papers)Shaw-Wei D. Tsen (5 shared papers)Ronald D. Alvarez (2 shared papers)David A. Boyd (2 shared papers)Tae Woo Kim (2 shared papers)
- Journals
- Vaccine (4 papers)Virology Journal (2 papers)Journal of Physics Condensed Matter (2 papers)Gene Therapy (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
T-C Wu
20 papers receiving 865 citations
Peers
Comparison fields: 5 of 77
- Immunology 499
- Epidemiology 333
- Biotechnology 61
- Otorhinolaryngology 28
- Oncology 167
Countries citing papers authored by T-C Wu
This map shows the geographic impact of T-C Wu'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 T-C Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T-C Wu more than expected).
Fields of papers citing papers by T-C Wu
This network shows the impact of papers produced by T-C Wu. 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 T-C Wu. The network helps show where T-C Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside T-C Wu, 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 | 2008 | 144 | |
| 2 | 2005 | 86 | |
| 3 | 2007 | 73 | |
| 4 | 1999 | 72 | |
| 5 | 2004 | 53 | |
| 6 | 2011 | 50 | |
| 7 | 1993 | 49 | |
| 8 | 2007 | 48 | |
| 9 | 2009 | 41 | |
| 10 | 2003 | 40 | |
| 11 | 2013 | 37 | |
| 12 | 2004 | 37 | |
| 13 | 2014 | 36 | |
| 14 | 2007 | 34 | |
| 15 | 2007 | 33 | |
| 16 | 2010 | 32 | |
| 17 | 2008 | 20 | |
| 18 | 2013 | 6 | |
| 19 | 2014 | 5 | |
| 20 | 2011 | 5 |
About T-C Wu
T-C Wu is a scholar working on Immunology, Epidemiology, Molecular Biology, Biophysics and Oncology, having authored 20 papers that have together received 901 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Cervical Cancer and HPV Research (5 papers), Hepatitis B Virus Studies (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (3 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (499 citations), Epidemiology (333 citations), Biotechnology (61 citations), Otorhinolaryngology (28 citations) and Oncology (167 citations). T-C Wu has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Chien‐Fu Hung, Archana Monie, Liangmei He, Barbara Ma, Shaw-Wei D. Tsen, Ronald D. Alvarez, David A. Boyd, Tae Woo Kim, J. Marie Hardwick and Juliann G. Kiang. Their work appears in journals such as Vaccine, Virology Journal, Journal of Physics Condensed Matter, Gene Therapy and Cancer Research.
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.