Mathieu Gissot

1.4k citations
40 papers · 965 · h-index 18

Impact in

    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • Toxoplasma gondii Research Studies 32
    • Parasitic Infections and Diagnostics 5
    • Herpesvirus Infections and Treatments 11
    • Cytomegalovirus and herpesvirus research 8

Mathieu Gissot

39 papers receiving 961 citations

Peers

Mathieu Gissot
Comparison fields: 5 of 67
  • Parasitology 529
  • Virology 93
  • Public Health, Environmental and Occupational Health 256
  • Epidemiology 295
  • Immunology 175
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Citations per field
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Citations per year

Countries citing papers authored by Mathieu Gissot

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Gissot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200795
2 200487
3 201274
4 201172
5 200858
6 201348
7 200847
8 200642
9 200838
10 201336
11 201832
12 200829
13 201229
14 202125
15 200425
16 200420
17 200219
18 202118
19 202215
20 202215

About Mathieu Gissot

Mathieu Gissot is a scholar working on Parasitology, Epidemiology, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 965 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (32 papers), Herpesvirus Infections and Treatments (11 papers), Cytomegalovirus and herpesvirus research (8 papers), Parasitic Infections and Diagnostics (5 papers), interferon and immune responses (4 papers), Malaria Research and Control (4 papers), Invertebrate Immune Response Mechanisms (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Parasitology (529 citations), Virology (93 citations), Public Health, Environmental and Occupational Health (256 citations), Epidemiology (295 citations) and Immunology (175 citations). Mathieu Gissot has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Kami Kim, Ludovic Huot, John M. Greally, Sylvie Briquet, Catherine Vaquero, Stanislas Tomavo, David Hot, Robert A. Walker, Matthew McKnight Croken and James W. Ajioka. Their work appears in journals such as Cellular Microbiology, Proceedings of the National Academy of Sciences, PLoS Pathogens, Eukaryotic Cell and Nature Communications.

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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