Thomas Bigot

26 papers receiving 341 citations

Peers

Thomas Bigot
Comparison fields: 5 of 68
  • Parasitology 63
  • Infectious Diseases 120
  • Ecology, Evolution, Behavior and Systematics 91
  • Genetics 84
  • Insect Science 33
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Elsa Quillery France
Udo Bahr Germany
Elizabeth Kilbride United Kingdom
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Citations per year

Countries citing papers authored by Thomas Bigot

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Bigot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013115
2 201937
3 202125
4 202022
5 201722
6 202019
7 202114
8 202213
9 201213
10 202211
11 20219
12 20157
13 20196
14
[Depression and somatic diseases. On one retrospective study of 210 patients with major depression hospitalized in a psychiatric hospital].
19995
15 20234
16 20134
17
[Prospective study of favorable factors in follow-up of drug addicted patients--apropos of 257 patients of the Cassini Center in Paris].
20014
18
Dépression et maladies somatiques a propos d'une étude rétrospective de 210 épisodes dépressifs majeurs hospitalisés en psychiatrie
19993
19 20233
20 20243

About Thomas Bigot

Thomas Bigot is a scholar working on Infectious Diseases, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Parasitology and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 348 indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), Genomics and Phylogenetic Studies (7 papers), Vector-borne infectious diseases (7 papers), Vector-Borne Animal Diseases (6 papers), Mosquito-borne diseases and control (5 papers), Animal Virus Infections Studies (3 papers), Bacteriophages and microbial interactions (3 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Parasitology (63 citations), Infectious Diseases (120 citations), Ecology, Evolution, Behavior and Systematics (91 citations), Genetics (84 citations) and Insect Science (33 citations). Thomas Bigot has collaborated with scholars based in France, Romania and Cambodia. Frequent co-authors include Sarah Temmam, Marc Éloit, Delphine Chrétien, Laurent Guéguen, Philippe Pérot, Béatrice Regnault, Manolo Gouy, Céline Scornavacca, David Fournier and Vincent Cahais. Their work appears in journals such as Viruses, Transboundary and Emerging Diseases, Infection Genetics and Evolution, Frontiers in Veterinary Science and Heredity.

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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