Marc Choisy

84 papers receiving 2.0k citations

Peers

Marc Choisy
Comparison fields: 5 of 143
  • Modeling and Simulation 249
  • Applied Microbiology and Biotechnology 95
  • Molecular Medicine 156
  • Infectious Diseases 476
  • Virology 91
Replace Katherine E. Atkins with:
Katherine E. Atkins United Kingdom
Melissa J. Ward United Kingdom
Sophia Latham United Kingdom
Juan Lubroth Italy
Margo Chase‐Topping United Kingdom
Louise Matthews United Kingdom
Sarah M. Hazel United Kingdom
Laith Yakob United Kingdom
François Blanquart France
Samuel M. Thumbi Kenya
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Citations per field
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Citations per year

Countries citing papers authored by Marc Choisy

Since Specialization
Citations

This map shows the geographic impact of Marc Choisy'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 Marc Choisy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Choisy more than expected).

Fields of papers citing papers by Marc Choisy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Choisy. 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 Marc Choisy. The network helps show where Marc Choisy may publish in the future.

Co-authors

The 25 scholars most cited alongside Marc Choisy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Choisy Line = papers co-authored together Marc Choisy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013124
2 201098
3 200396
4 201192
5 200692
6 200487
7 200485
8 200679
9 200456
10 201452
11 201552
12 201348
13 201547
14 202046
15 202045
16 201943
17 201642
18 201641
19 201739
20 202137

About Marc Choisy

Marc Choisy is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Infectious Diseases, Genetics and Modeling and Simulation, having authored 89 papers that have together received 2.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (15 papers), Evolution and Genetic Dynamics (14 papers), Mosquito-borne diseases and control (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Influenza Virus Research Studies (10 papers), Antibiotic Resistance in Bacteria (10 papers), Pharmaceutical and Antibiotic Environmental Impacts (9 papers) and Antibiotic Use and Resistance (7 papers). The work is most often cited by research in Modeling and Simulation (249 citations), Applied Microbiology and Biotechnology (95 citations), Molecular Medicine (156 citations), Infectious Diseases (476 citations) and Virology (91 citations). Marc Choisy has collaborated with scholars based in France, Vietnam and United Kingdom. Frequent co-authors include Pejman Rohani, Jean‐François Guégan, Jacobus C. de Roode, Sylvain Gandon, Rémy Froissart, Thomas W. Berngruber, Juan Carrique‐Mas, Guy Thwaites, Frédéric Thomas and Kevin D. Lafferty. Their work appears in journals such as PLoS neglected tropical diseases, The American Naturalist, Emerging infectious diseases, Proceedings of the Royal Society B Biological Sciences and BMC 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.

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