Bang-Lin Wan
Impact in
- Virology top 5%
- HIV Research and Treatment
- Hepatology top 5%
- Hepatitis C virus research
Papers in
- Virology 7
- HIV Research and Treatment 7
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- HIV/AIDS drug development and treatment 12
- Co-authors
- Joseph P. Vacca (3 shared papers)Charles J. McIntyre (1 shared paper)David Benee Olsen (1 shared paper)John W. Butcher (1 shared paper)M. Katharine Holloway (1 shared paper)Kevin F. Gilbert (1 shared paper)Kevin Tri Nguyen (1 shared paper)John A. McCauley (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (10 papers)Journal of Medicinal Chemistry (6 papers)Journal of the American Chemical Society (1 paper)Antiviral Research (1 paper)PLoS Biology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Bang-Lin Wan
21 papers receiving 756 citations
Peers
Comparison fields: 5 of 70
- Virology 134
- Hepatology 157
- Infectious Diseases 274
- Organic Chemistry 313
- Epidemiology 129
Countries citing papers authored by Bang-Lin Wan
This map shows the geographic impact of Bang-Lin Wan'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 Bang-Lin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bang-Lin Wan more than expected).
Fields of papers citing papers by Bang-Lin Wan
This network shows the impact of papers produced by Bang-Lin Wan. 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 Bang-Lin Wan. The network helps show where Bang-Lin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bang-Lin Wan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 146 | |
| 2 | 2008 | 121 | |
| 3 | 2008 | 111 | |
| 4 | 2008 | 51 | |
| 5 | 2006 | 45 | |
| 6 | 2011 | 37 | |
| 7 | 2006 | 36 | |
| 8 | 2009 | 34 | |
| 9 | 2009 | 34 | |
| 10 | 2011 | 30 | |
| 11 | 2011 | 29 | |
| 12 | 2022 | 24 | |
| 13 | 2007 | 23 | |
| 14 | 2016 | 19 | |
| 15 | 2008 | 15 | |
| 16 | 2010 | 15 | |
| 17 | 2004 | 13 | |
| 18 | 2012 | 9 | |
| 19 | 2012 | 6 | |
| 20 | 2007 | 5 |
About Bang-Lin Wan
Bang-Lin Wan is a scholar working on Virology, Infectious Diseases, Hepatology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 804 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (12 papers), Biochemical and Molecular Research (8 papers), HIV Research and Treatment (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Hepatitis C virus research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Neuropeptides and Animal Physiology (3 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Virology (134 citations), Hepatology (157 citations), Infectious Diseases (274 citations), Organic Chemistry (313 citations) and Epidemiology (129 citations). Bang-Lin Wan has collaborated with scholars based in United States and Italy. Frequent co-authors include Joseph P. Vacca, Charles J. McIntyre, David Benee Olsen, John W. Butcher, M. Katharine Holloway, Kevin F. Gilbert, Kevin Tri Nguyen, John A. McCauley, Michael T. Rudd and Shi‐Shan Mao. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of the American Chemical Society, Antiviral Research and PLoS Biology.
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.