Maxime Cochin

449 total citations
10 papers, 189 citations indexed

About

Maxime Cochin is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Maxime Cochin has authored 10 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 3 papers in Animal Science and Zoology and 2 papers in Epidemiology. Recurrent topics in Maxime Cochin's work include SARS-CoV-2 and COVID-19 Research (7 papers), Animal Virus Infections Studies (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Maxime Cochin is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Animal Virus Infections Studies (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Maxime Cochin collaborates with scholars based in France, Switzerland and Belgium. Maxime Cochin's co-authors include Antoine Nougaırède, Xavier de Lamballerie, Jean‐Sélim Driouich, Franck Touret, Grégory Moureau, Bruno Coutard, Caroline Solas, Géraldine Piorkowski, Karine Barthélémy and Caroline Laprie and has published in prestigious journals such as Nature Communications, Frontiers in Microbiology and EMBO Reports.

In The Last Decade

Maxime Cochin

9 papers receiving 187 citations

Peers

Maxime Cochin

EPIDE

ASZ

GENET

Christian Marier United States

Wilhelm Furnon United Kingdom

Marica Grossegesse Germany

I’ah Donovan-Banfield United Kingdom

Adrien Delpal France

Guillaume Lingas France

Brittany Seibert United States

Ricardo Ariel Zimerman Brazil

Stacy Gellenoncourt France

Yanjia Chen China

Christian Marier United States

Maxime Cochin

128 ×0.8

28 ×0.7

EPIDE

63 ×1.8

13 ×0.5

ASZ

26 ×1.4

GENET

Citations per year, relative to Maxime Cochin Maxime Cochin (= 1×) peers Christian Marier

Countries citing papers authored by Maxime Cochin

Since Specialization

Citations

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

Fields of papers citing papers by Maxime Cochin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Cochin

This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Cochin. A scholar is included among the top collaborators of Maxime Cochin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maxime Cochin. Maxime Cochin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Nougaırède, Antoine, Maxime Cochin, Nonito Pagès, et al.. (2024). Different viral genes modulate virulence in model mammal hosts and Culex pipiens vector competence in Mediterranean basin lineage 1 West Nile virus strains. Frontiers in Microbiology. 14. 1324069–1324069. 1 indexed citations

Cochin, Maxime, Jean‐Sélim Driouich, Caroline Laprie, et al.. (2024). Preclinical evaluation in hamster model of the mRNA COVID-19 vaccine candidate AfriVac 2121 (Wuhan) produced under the WHO/MPP mRNA Technology Transfer Programme. Vaccine. 42(26). 126378–126378.

Touret, Franck, Jean‐Sélim Driouich, Maxime Cochin, et al.. (2024). Further preclinical characterization of molnupiravir against SARS-CoV-2: Antiviral activity determinants and viral genome alteration patterns. Heliyon. 10(10). e30862–e30862. 2 indexed citations

Cochin, Maxime, Jean‐Sélim Driouich, Grégory Moureau, et al.. (2024). In vivo rescue of arboviruses directly from subgenomic DNA fragments. Emerging Microbes & Infections. 13(1). 2356140–2356140. 2 indexed citations

Cochin, Maxime, Léa Lucıanı, Franck Touret, et al.. (2022). The SARS-CoV-2 Alpha variant exhibits comparable fitness to the D614G strain in a Syrian hamster model. Communications Biology. 5(1). 225–225. 9 indexed citations

Piorkowski, Géraldine, Franck Touret, Toscane Fourié, et al.. (2022). A simple reverse genetics method to generate recombinant coronaviruses. EMBO Reports. 23(5). e53820–e53820. 26 indexed citations

Touret, Franck, Jean‐Sélim Driouich, Maxime Cochin, et al.. (2021). Preclinical evaluation of Imatinib does not support its use as an antiviral drug against SARS-CoV-2. Antiviral Research. 193. 105137–105137. 23 indexed citations

Driouich, Jean‐Sélim, Maxime Cochin, Guillaume Lingas, et al.. (2021). Favipiravir antiviral efficacy against SARS-CoV-2 in a hamster model. Nature Communications. 12(1). 1735–1735. 99 indexed citations

Cochin, Maxime, Franck Touret, Jean‐Sélim Driouich, et al.. (2021). Hydroxychloroquine and azithromycin used alone or combined are not effective against SARS-CoV-2 ex vivo and in a hamster model. Antiviral Research. 197. 105212–105212. 9 indexed citations

10.

Touret, Franck, Léa Lucıanı, Cécile Baronti, et al.. (2021). Replicative Fitness of a SARS-CoV-2 20I/501Y.V1 Variant from Lineage B.1.1.7 in Human Reconstituted Bronchial Epithelium. mBio. 12(4). e0085021–e0085021. 18 indexed citations

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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