Wen‐Chi Su
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Epidemiology top 10%
- Influenza Virus Research Studies
- Autophagy in Disease and Therapy
Papers in
-
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 4
-
- SARS-CoV-2 and COVID-19 Research 10
- Viral Infections and Vectors 4
- Co-authors
- King-Song Jeng (10 shared papers)Michael M. C. Lai (12 shared papers)Michael M. C. Lai (5 shared papers)Ti‐Chun Chao (3 shared papers)Yung‐Chia Chen (3 shared papers)Tzu‐Ping Ko (2 shared papers)Chung-Hsin Tseng (2 shared papers)Chung‐Yi Wu (1 shared paper)
- Journals
- Journal of Virology (6 papers)Viruses (3 papers)International Journal of Molecular Sciences (2 papers)Antiviral Research (2 papers)Journal of Biomedical Science (2 papers)
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Wen‐Chi Su
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Hepatology 100
- Epidemiology 426
- Virology 58
- Immunology 246
- Infectious Diseases 151
Countries citing papers authored by Wen‐Chi Su
This map shows the geographic impact of Wen‐Chi Su'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 Wen‐Chi Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Chi Su more than expected).
Fields of papers citing papers by Wen‐Chi Su
This network shows the impact of papers produced by Wen‐Chi Su. 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 Wen‐Chi Su. The network helps show where Wen‐Chi Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen‐Chi Su, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 133 | |
| 2 | 2013 | 113 | |
| 3 | 2010 | 110 | |
| 4 | 2009 | 107 | |
| 5 | 2010 | 66 | |
| 6 | 2019 | 63 | |
| 7 | 1997 | 55 | |
| 8 | 2014 | 51 | |
| 9 | 1996 | 42 | |
| 10 | 2012 | 39 | |
| 11 | 2018 | 38 | |
| 12 | 2017 | 31 | |
| 13 | 2021 | 29 | |
| 14 | 2003 | 29 | |
| 15 | 2011 | 28 | |
| 16 | 2015 | 27 | |
| 17 | 2015 | 22 | |
| 18 | 2016 | 22 | |
| 19 | 2015 | 22 | |
| 20 | 2011 | 19 |
About Wen‐Chi Su
Wen‐Chi Su is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Virology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), Influenza Virus Research Studies (7 papers), interferon and immune responses (7 papers), RNA modifications and cancer (5 papers), Viral Infections and Vectors (4 papers), HIV Research and Treatment (4 papers), RNA and protein synthesis mechanisms (4 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Hepatology (100 citations), Epidemiology (426 citations), Virology (58 citations), Immunology (246 citations) and Infectious Diseases (151 citations). Wen‐Chi Su has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include King-Song Jeng, Michael M. C. Lai, Michael M. C. Lai, Ti‐Chun Chao, Yung‐Chia Chen, Tzu‐Ping Ko, Chung-Hsin Tseng, Chung‐Yi Wu, Shih‐Che Weng and Tsai‐Ling Liao. Their work appears in journals such as Journal of Virology, Viruses, International Journal of Molecular Sciences, Antiviral Research and Journal of Biomedical Science.
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.