William Fu
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
Papers in
- Virology 17
- HIV Research and Treatment 17
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- HIV/AIDS drug development and treatment 8
- Co-authors
- A Rein (3 shared papers)Robert J. Gorelick (5 shared papers)Roger G. Ptak (8 shared papers)Wei-Shau Hu (10 shared papers)Jianbo Chen (4 shared papers)Olga A. Nikolaitchik (5 shared papers)Kim D. Pruitt (2 shared papers)Kenneth Katz (2 shared papers)
- Journals
- Journal of Virology (10 papers)Virology (2 papers)Machine Learning (1 paper)AIDS Research and Human Retroviruses (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesIndonesiaUnited Kingdom
In The Last Decade
William Fu
24 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 85
- Virology 855
- Infectious Diseases 396
- Molecular Biology 788
- Immunology 141
- Cardiology and Cardiovascular Medicine 117
Countries citing papers authored by William Fu
This map shows the geographic impact of William Fu'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 William Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Fu more than expected).
Fields of papers citing papers by William Fu
This network shows the impact of papers produced by William Fu. 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 William Fu. The network helps show where William Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside William Fu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 211 | |
| 2 | 1993 | 190 | |
| 3 | 2014 | 119 | |
| 4 | 2008 | 104 | |
| 5 | 2010 | 101 | |
| 6 | 2005 | 86 | |
| 7 | 2007 | 81 | |
| 8 | 2013 | 80 | |
| 9 | 2009 | 76 | |
| 10 | 1999 | 53 | |
| 11 | 2003 | 36 | |
| 12 | 1997 | 35 | |
| 13 | 2021 | 34 | |
| 14 | 1995 | 30 | |
| 15 | 2021 | 23 | |
| 16 | 2006 | 23 | |
| 17 | 2008 | 23 | |
| 18 | 2006 | 22 | |
| 19 | 2011 | 22 | |
| 20 | 1997 | 16 |
About William Fu
William Fu is a scholar working on Virology, Infectious Diseases, Epidemiology, Molecular Biology and Immunology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (17 papers), HIV/AIDS drug development and treatment (8 papers), RNA and protein synthesis mechanisms (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Plant Virus Research Studies (2 papers), Viral Infections and Immunology Research (2 papers), Bacteriophages and microbial interactions (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Virology (855 citations), Infectious Diseases (396 citations), Molecular Biology (788 citations), Immunology (141 citations) and Cardiology and Cardiovascular Medicine (117 citations). William Fu has collaborated with scholars based in United States, Indonesia and United Kingdom. Frequent co-authors include A Rein, Robert J. Gorelick, Roger G. Ptak, Wei-Shau Hu, Jianbo Chen, Olga A. Nikolaitchik, Kim D. Pruitt, Kenneth Katz, Jonathan E. Dickerson and Kunio Nagashima. Their work appears in journals such as Journal of Virology, Virology, Machine Learning, AIDS Research and Human Retroviruses and Proceedings of the National Academy of Sciences.
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.