David J. Bean
Impact in
- Virology top 5%
- HIV Research and Treatment
- Environmental Chemistry top 5%
- Aquatic Ecosystems and Phytoplankton Dynamics
Papers in
- Virology 5
- HIV Research and Treatment 5
-
- Hepatitis C virus research 5
- Co-authors
- David A. Culver (1 shared paper)James W. Fletcher (1 shared paper)Mary M. Boucherle (1 shared paper)Todd M. Allen (6 shared papers)Damien C. Tully (5 shared papers)Manish Sagar (4 shared papers)Jane A. McKeating (2 shared papers)Colin B. Ogilvie (2 shared papers)
- Journals
- Journal of Virology (4 papers)Clinical Infectious Diseases (2 papers)Nature Immunology (1 paper)Journal of Experimental Psychology Human Perception & Performance (1 paper)Liver International (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
David J. Bean
17 papers receiving 676 citations
Peers
Comparison fields: 5 of 70
- Virology 119
- Environmental Chemistry 246
- Nature and Landscape Conservation 290
- Ecology 283
- Hepatology 74
Countries citing papers authored by David J. Bean
This map shows the geographic impact of David J. Bean'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 David J. Bean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Bean more than expected).
Fields of papers citing papers by David J. Bean
This network shows the impact of papers produced by David J. Bean. 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 David J. Bean. The network helps show where David J. Bean may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Bean, 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 | 1985 | 424 | |
| 2 | 2021 | 84 | |
| 3 | 2016 | 82 | |
| 4 | 2015 | 26 | |
| 5 | 2016 | 26 | |
| 6 | 2016 | 20 | |
| 7 | 2021 | 18 | |
| 8 | 2017 | 14 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 1997 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2025 | 1 | |
| 17 | 1983 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About David J. Bean
David J. Bean is a scholar working on Virology, Hepatology, Infectious Diseases, Immunology and General Decision Sciences, having authored 19 papers that have together received 742 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), T-cell and B-cell Immunology (3 papers), Animal Virus Infections Studies (1 paper), CAR-T cell therapy research (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Virology (119 citations), Environmental Chemistry (246 citations), Nature and Landscape Conservation (290 citations), Ecology (283 citations) and Hepatology (74 citations). David J. Bean has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include David A. Culver, James W. Fletcher, Mary M. Boucherle, Todd M. Allen, Damien C. Tully, Manish Sagar, Jane A. McKeating, Colin B. Ogilvie, John H. Connor and Jacquelyn Turcinovic. Their work appears in journals such as Journal of Virology, Clinical Infectious Diseases, Nature Immunology, Journal of Experimental Psychology Human Perception & Performance and Liver International.
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.