Cyrille Mathieu
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
- Virology top 5%
Papers in
- Epidemiology 37
- Virology and Viral Diseases 35
- Respiratory viral infections research 11
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- SARS-CoV-2 and COVID-19 Research 15
- Viral Infections and Vectors 15
- COVID-19 Clinical Research Studies 6
- Co-authors
- Branka Horvat (36 shared papers)Matteo Porotto (19 shared papers)Anne Moscona (18 shared papers)François–Loïc Cosset (5 shared papers)Marion Ferren (12 shared papers)Denis Gerlier (11 shared papers)Jérémy Welsch (6 shared papers)Bingjie Zhou (1 shared paper)
- Journals
- Journal of Virology (9 papers)mBio (6 papers)Viruses (4 papers)The Journal of Infectious Diseases (3 papers)PLoS ONE (3 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Cyrille Mathieu
53 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Infectious Diseases 879
- Virology 116
- Epidemiology 842
- Immunology 269
- Animal Science and Zoology 128
Countries citing papers authored by Cyrille Mathieu
This map shows the geographic impact of Cyrille Mathieu'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 Cyrille Mathieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cyrille Mathieu more than expected).
Fields of papers citing papers by Cyrille Mathieu
This network shows the impact of papers produced by Cyrille Mathieu. 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 Cyrille Mathieu. The network helps show where Cyrille Mathieu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cyrille Mathieu, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 204 | |
| 2 | 2011 | 82 | |
| 3 | 2012 | 79 | |
| 4 | 2012 | 68 | |
| 5 | 2012 | 59 | |
| 6 | 2013 | 58 | |
| 7 | 2012 | 57 | |
| 8 | 2016 | 51 | |
| 9 | 2005 | 50 | |
| 10 | 2019 | 50 | |
| 11 | 2012 | 47 | |
| 12 | 2015 | 47 | |
| 13 | 2017 | 43 | |
| 14 | 2014 | 43 | |
| 15 | 2018 | 42 | |
| 16 | 2018 | 40 | |
| 17 | 2016 | 38 | |
| 18 | 2021 | 34 | |
| 19 | 2021 | 32 | |
| 20 | 2015 | 31 |
About Cyrille Mathieu
Cyrille Mathieu is a scholar working on Epidemiology, Infectious Diseases, Immunology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virology and Viral Diseases (35 papers), SARS-CoV-2 and COVID-19 Research (15 papers), Viral Infections and Vectors (15 papers), Respiratory viral infections research (11 papers), interferon and immune responses (7 papers), COVID-19 Clinical Research Studies (6 papers), Mosquito-borne diseases and control (6 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Infectious Diseases (879 citations), Virology (116 citations), Epidemiology (842 citations), Immunology (269 citations) and Animal Science and Zoology (128 citations). Cyrille Mathieu has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Branka Horvat, Matteo Porotto, Anne Moscona, François–Loïc Cosset, Marion Ferren, Denis Gerlier, Jérémy Welsch, Bingjie Zhou, Vincent Legros and Solène Denolly. Their work appears in journals such as Journal of Virology, mBio, Viruses, The Journal of Infectious Diseases and PLoS ONE.
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.