François Blanquart
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Resistance in Bacteria 12
- Genetics 25
- Evolution and Genetic Dynamics 23
- Co-authors
- Sylvain Gandon (8 shared papers)Scott L. Nuismer (3 shared papers)Oliver Kaltz (1 shared paper)Sonja Lehtinen (10 shared papers)Christophe Fraser (9 shared papers)Marc Lipsitch (3 shared papers)Thomas M Bataillon (2 shared papers)Florence Débarre (9 shared papers)
- Journals
- eLife (4 papers)Eurosurveillance (3 papers)PLoS Biology (3 papers)Virus Evolution (3 papers)Proceedings of the Royal Society B Biological Sciences (3 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
François Blanquart
56 papers receiving 2.0k citations
François Blanquart's Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Medicine 171
- Applied Microbiology and Biotechnology 61
- Virology 137
- Modeling and Simulation 122
- Ecological Modeling 111
Countries citing papers authored by François Blanquart
This map shows the geographic impact of François Blanquart'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 François Blanquart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Blanquart more than expected).
Fields of papers citing papers by François Blanquart
This network shows the impact of papers produced by François Blanquart. 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 François Blanquart. The network helps show where François Blanquart may publish in the future.
Co-authors
The 25 scholars most cited alongside François Blanquart, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A practical guide to measuring local adaptation Hit paper breakdown → | 2013 | 437 |
| 2 | Phage–host coevolution in natural populations Hit paper breakdown → | 2022 | 148 |
| 3 | 2012 | 120 | |
| 4 | 2017 | 110 | |
| 5 | 2016 | 96 | |
| 6 | 2021 | 95 | |
| 7 | 2014 | 57 | |
| 8 | 2019 | 57 | |
| 9 | 2018 | 56 | |
| 10 | 2018 | 56 | |
| 11 | 2021 | 52 | |
| 12 | 2017 | 51 | |
| 13 | 2022 | 49 | |
| 14 | 2016 | 45 | |
| 15 | 2011 | 44 | |
| 16 | 2012 | 44 | |
| 17 | 2018 | 42 | |
| 18 | 2021 | 37 | |
| 19 | 2021 | 36 | |
| 20 | 2022 | 33 |
About François Blanquart
François Blanquart is a scholar working on Molecular Medicine, Genetics, Infectious Diseases, Virology and Modeling and Simulation, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (23 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Antibiotic Resistance in Bacteria (12 papers), HIV Research and Treatment (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), COVID-19 epidemiological studies (9 papers), Escherichia coli research studies (7 papers) and SARS-CoV-2 detection and testing (6 papers). The work is most often cited by research in Molecular Medicine (171 citations), Applied Microbiology and Biotechnology (61 citations), Virology (137 citations), Modeling and Simulation (122 citations) and Ecological Modeling (111 citations). François Blanquart has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Sylvain Gandon, Scott L. Nuismer, Oliver Kaltz, Sonja Lehtinen, Christophe Fraser, Marc Lipsitch, Thomas M Bataillon, Florence Débarre, Rees Kassen and Olivier Tenaillon. Their work appears in journals such as eLife, Eurosurveillance, PLoS Biology, Virus Evolution and Proceedings of the Royal Society B Biological 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.