Will Fischer
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- vaccines and immunoinformatics approaches 10
- Virology 15
- HIV Research and Treatment 15
- Co-authors
- Bette Korber (23 shared papers)Kazuhito Inoue (1 shared paper)Masaaki Nakahara (1 shared paper)Jin Xiong (1 shared paper)Carl E. Bauer (1 shared paper)James Theiler (8 shared papers)Norman L. Letvin (5 shared papers)Barton F. Haynes (4 shared papers)
- Journals
- Journal of Reproductive Immunology (3 papers)Nature Medicine (3 papers)Journal of Virology (3 papers)BMC Bioinformatics (2 papers)Cell Host & Microbe (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Will Fischer
42 papers receiving 2.3k citations
Will Fischer's Hit Papers
Peers
Comparison fields: 5 of 124
- Virology 905
- Infectious Diseases 592
- Immunology 598
- Hepatology 165
- Molecular Biology 971
Countries citing papers authored by Will Fischer
This map shows the geographic impact of Will Fischer'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 Will Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Fischer more than expected).
Fields of papers citing papers by Will Fischer
This network shows the impact of papers produced by Will Fischer. 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 Will Fischer. The network helps show where Will Fischer may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Fischer, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 329 | |
| 2 | 2006 | 327 | |
| 3 | 2010 | 284 | |
| 4 | SARS-CoV-2 variant B.1.1.7 is susceptible to neutralizing antibodies elicited by ancestral spike vaccines Hit paper breakdown → | 2021 | 223 |
| 5 | 2010 | 187 | |
| 6 | 2017 | 99 | |
| 7 | 2019 | 84 | |
| 8 | 2007 | 79 | |
| 9 | 2014 | 72 | |
| 10 | 2008 | 61 | |
| 11 | 2008 | 54 | |
| 12 | 2014 | 53 | |
| 13 | 1972 | 53 | |
| 14 | 2015 | 43 | |
| 15 | 2019 | 42 | |
| 16 | 2013 | 38 | |
| 17 | 2008 | 37 | |
| 18 | 2005 | 35 | |
| 19 | 2011 | 25 | |
| 20 | 2020 | 25 |
About Will Fischer
Will Fischer is a scholar working on Molecular Biology, Virology, Infectious Diseases, Immunology and Epidemiology, having authored 44 papers that have together received 2.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), vaccines and immunoinformatics approaches (10 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immune Cell Function and Interaction (5 papers), Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Virology (905 citations), Infectious Diseases (592 citations), Immunology (598 citations), Hepatology (165 citations) and Molecular Biology (971 citations). Will Fischer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Bette Korber, Kazuhito Inoue, Masaaki Nakahara, Jin Xiong, Carl E. Bauer, James Theiler, Norman L. Letvin, Barton F. Haynes, Tanmoy Bhattacharya and Karina Yusim. Their work appears in journals such as Journal of Reproductive Immunology, Nature Medicine, Journal of Virology, BMC Bioinformatics and Cell Host & Microbe.
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.