Frédéric Tangy
Impact in
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- Virology top 1%
Papers in
- Epidemiology 75
- Virology and Viral Diseases 53
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- Viral Infections and Vectors 24
- Co-authors
- Pierre‐Olivier Vidalain (43 shared papers)Chantal Combredet (33 shared papers)Michel Brahic (15 shared papers)Samantha Brandler (8 shared papers)Yves Jacob (15 shared papers)Clarisse Lorin (9 shared papers)Philippe Desprès (12 shared papers)Hélène Munier‐Lehmann (12 shared papers)
- Journals
- Journal of Virology (19 papers)Virology (9 papers)PLoS ONE (8 papers)PLoS Pathogens (6 papers)The Journal of Infectious Diseases (5 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Frédéric Tangy
155 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 115
- Infectious Diseases 2.1k
- Virology 475
- Immunology 1.4k
- Epidemiology 1.9k
- Animal Science and Zoology 538
Countries citing papers authored by Frédéric Tangy
This map shows the geographic impact of Frédéric Tangy'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 Frédéric Tangy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Tangy more than expected).
Fields of papers citing papers by Frédéric Tangy
This network shows the impact of papers produced by Frédéric Tangy. 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 Frédéric Tangy. The network helps show where Frédéric Tangy may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Tangy, 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 170 | |
| 2 | 2013 | 162 | |
| 3 | 2004 | 127 | |
| 4 | 2005 | 126 | |
| 5 | 2013 | 124 | |
| 6 | 2013 | 124 | |
| 7 | 2011 | 115 | |
| 8 | 2003 | 113 | |
| 9 | 2013 | 112 | |
| 10 | 2008 | 112 | |
| 11 | 2004 | 111 | |
| 12 | 2008 | 110 | |
| 13 | 2003 | 108 | |
| 14 | 2012 | 105 | |
| 15 | 2007 | 104 | |
| 16 | 2013 | 97 | |
| 17 | 2012 | 94 | |
| 18 | 2013 | 87 | |
| 19 | 2018 | 83 | |
| 20 | 2009 | 81 |
About Frédéric Tangy
Frédéric Tangy is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 157 papers that have together received 5.4k indexed citations. Recurring topics across this work include Virology and Viral Diseases (53 papers), Mosquito-borne diseases and control (28 papers), Viral Infections and Vectors (24 papers), interferon and immune responses (24 papers), Virus-based gene therapy research (23 papers), Animal Virus Infections Studies (19 papers), Viral Infections and Immunology Research (18 papers) and HIV Research and Treatment (17 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Virology (475 citations), Immunology (1.4k citations), Epidemiology (1.9k citations) and Animal Science and Zoology (538 citations). Frédéric Tangy has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Pierre‐Olivier Vidalain, Chantal Combredet, Michel Brahic, Samantha Brandler, Yves Jacob, Clarisse Lorin, Philippe Desprès, Hélène Munier‐Lehmann, Marc Grégoire and Valérie Najburg. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, PLoS Pathogens and The Journal of Infectious Diseases.
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.