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
-
- Viral Infections and Vectors 23
- Viral Infections and Outbreaks Research 15
- Epidemiology 69
- Virology and Viral Diseases 50
- Co-authors
- Pierre‐Olivier Vidalain (44 shared papers)Chantal Combredet (34 shared papers)Michel Brahic (15 shared papers)Samantha Brandler (8 shared papers)Yves Jacob (16 shared papers)Clarisse Lorin (9 shared papers)Philippe Desprès (12 shared papers)Marc Grégoire (14 shared papers)
- Journals
- Journal of Virology (19 papers)Virology (9 papers)PLoS ONE (8 papers)The Journal of Infectious Diseases (7 papers)PLoS Pathogens (6 papers)
- Partner nations
- FranceUnited StatesTunisia
In The Last Decade
Frédéric Tangy
162 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 117
- Infectious Diseases 2.1k
- Virology 485
- Immunology 1.4k
- Epidemiology 1.9k
- Microbiology 328
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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 192 | |
| 2 | 2013 | 172 | |
| 3 | 2013 | 136 | |
| 4 | 2013 | 134 | |
| 5 | 2005 | 132 | |
| 6 | 2004 | 129 | |
| 7 | 2013 | 120 | |
| 8 | 2008 | 120 | |
| 9 | 2003 | 117 | |
| 10 | 2011 | 117 | |
| 11 | 2004 | 115 | |
| 12 | 2008 | 115 | |
| 13 | 2003 | 114 | |
| 14 | 2011 | 114 | |
| 15 | 2012 | 110 | |
| 16 | 2007 | 108 | |
| 17 | 2013 | 101 | |
| 18 | 2012 | 101 | |
| 19 | 2013 | 92 | |
| 20 | 2018 | 88 |
About Frédéric Tangy
Frédéric Tangy is a scholar working on Infectious Diseases, Epidemiology, Immunology, Virology and Animal Science and Zoology, having authored 164 papers that have together received 5.9k indexed citations. Recurring topics across this work include Virology and Viral Diseases (50 papers), Mosquito-borne diseases and control (29 papers), Viral Infections and Vectors (23 papers), interferon and immune responses (23 papers), Virus-based gene therapy research (23 papers), Animal Virus Infections Studies (19 papers), Viral Infections and Immunology Research (18 papers) and Viral Infections and Outbreaks Research (15 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Virology (485 citations), Immunology (1.4k citations), Epidemiology (1.9k citations) and Microbiology (328 citations). Frédéric Tangy has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Pierre‐Olivier Vidalain, Chantal Combredet, Michel Brahic, Samantha Brandler, Yves Jacob, Clarisse Lorin, Philippe Desprès, Marc Grégoire, Hélène Munier‐Lehmann and Valérie Najburg. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, The Journal of Infectious Diseases and PLoS Pathogens.
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.