Bernard A. P. Lafont
- Virology top 1%
- HIV Research and Treatment 21
- Immunology top 2%
- Immune Cell Function and Interaction 20
- T-cell and B-cell Immunology 18
- Immunotherapy and Immune Responses 7
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 5
- COVID-19 Clinical Research Studies 4
- Modeling and Simulation top 5%
- Epidemiology top 10%
- Respiratory viral infections research 4
- Virology and Viral Diseases 4
- Co-authors
- Alicia Buckler‐WhiteMalcolm A. MartinVanessa M. HirschTatsuhiko IgarashiYoshiaki NishimuraMark A. MillerCécile ViboudLone Simonsen
- Journals
- Nature (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Bernard A. P. Lafont
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 106
- Virology 622
- Immunology 920
- Infectious Diseases 379
- Modeling and Simulation 91
- Epidemiology 388
Countries citing papers authored by Bernard A. P. Lafont
This map shows the geographic impact of Bernard A. P. Lafont'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 Bernard A. P. Lafont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard A. P. Lafont more than expected).
Fields of papers citing papers by Bernard A. P. Lafont
This network shows the impact of papers produced by Bernard A. P. Lafont. 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 Bernard A. P. Lafont. The network helps show where Bernard A. P. Lafont may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bernard A. P. Lafont, 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 | 2023 | 8 | |
| 2 | 2021 | 82 | |
| 3 | 2021 | 37 | |
| 4 | 2021 | 69 | |
| 5 | 2019 | 21 | |
| 6 | 2018 | 36 | |
| 7 | 2012 | 78 | |
| 8 | 2010 | 18 | |
| 9 | 2010 | 108 | |
| 10 | 2009 | 7 | |
| 11 | 2007 | 16 | |
| 12 | 2006 | 35 | |
| 13 | 2005 | 173 | |
| 14 | 2004 | 9 | |
| 15 | 2004 | 15 | |
| 16 | 2003 | 27 | |
| 17 | 2003 | 1 | |
| 18 | 2000 | 8 | |
| 19 | 2000 | 13 | |
| 20 | 1999 | 7 |
About Bernard A. P. Lafont
Bernard A. P. Lafont is a scholar working on Virology, Immunology and Infectious Diseases, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (21 papers), Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (18 papers), Immunotherapy and Immune Responses (7 papers), HIV/AIDS Research and Interventions (5 papers), Respiratory viral infections research (4 papers), Virology and Viral Diseases (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Virology (622 citations), Immunology (920 citations) and Infectious Diseases (379 citations). Bernard A. P. Lafont has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Alicia Buckler‐White, Malcolm A. Martin, Vanessa M. Hirsch, Tatsuhiko Igarashi, Yoshiaki Nishimura, Mark A. Miller, Cécile Viboud, Lone Simonsen, Rebecca F. Grais and Charles E. Buckler. Their work appears in journals such as Nature, Science 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.