Mathieu Gendrot

924 citations
32 papers · 555 · h-index 12

Impact in

Papers in

Mathieu Gendrot

32 papers receiving 550 citations

Peers

Mathieu Gendrot
Comparison fields: 5 of 89
  • Infectious Diseases 204
  • Public Health, Environmental and Occupational Health 243
  • Computational Theory and Mathematics 130
  • Parasitology 51
  • Applied Microbiology and Biotechnology 10
Replace Joël Mosnier with:
Joël Mosnier France
Charlotte Lanteri United States
Isabelle Fonta France
Zhenghui Huang China
Agnès Aubouy France
Steven L. Andersen United States
Yuyong Zhou Denmark
Priyanka Shah India
Isabel M. Vincent United Kingdom
Tafere Mulaw Belete Ethiopia
Mathieu Gendrot relative to Joël Mosnier France Joël Mosnier's profile →
Citations per field
00.5×1.5×
Joël Mosnier · 1×
Citations per year

Countries citing papers authored by Mathieu Gendrot

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Gendrot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathieu Gendrot, 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 Mathieu Gendrot Line = papers co-authored together Mathieu Gendrot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 202070
3 202063
4 201858
5 202052
6 202127
7 202022
8 202019
9 202118
10 202215
11 201913
12 201812
13 201911
14 201710
15 202210
16 20229
17 20218
18 20198
19 20207
20 20216

About Mathieu Gendrot

Mathieu Gendrot is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Oncology, Computational Theory and Mathematics and Parasitology, having authored 32 papers that have together received 555 indexed citations. Recurring topics across this work include Malaria Research and Control (20 papers), Mosquito-borne diseases and control (11 papers), HIV/AIDS drug development and treatment (8 papers), Computational Drug Discovery Methods (6 papers), COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Research on Leishmaniasis Studies (3 papers). The work is most often cited by research in Infectious Diseases (204 citations), Public Health, Environmental and Occupational Health (243 citations), Computational Theory and Mathematics (130 citations), Parasitology (51 citations) and Applied Microbiology and Biotechnology (10 citations). Mathieu Gendrot has collaborated with scholars based in France, Senegal and India. Frequent co-authors include Joël Mosnier, Isabelle Fonta, Bruno Pradines, Priscilla Jardot, Manon Boxberger, Bernard La Scola, Julien Andréani, Marion Le Bideau, Sébastien Hutter and Bruno Pradines. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Pharmaceutics, Malaria Journal, Pharmaceuticals and Molecules.

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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