Thomas D. Prévot

39 papers receiving 834 citations

Peers

Thomas D. Prévot
Comparison fields: 5 of 87
  • Biological Psychiatry 216
  • Behavioral Neuroscience 205
  • Cellular and Molecular Neuroscience 309
  • Neurology 103
  • Cognitive Neuroscience 170
Replace Tiffany A. Wills with:
Tiffany A. Wills United States
Corey Fee Canada
Reesha R. Patel United States
Song Lin China
Laura Pérez-Caballero Spain
Magdalena Łasoń Poland
Hannes Sigrist Switzerland
Mark M. Gergues United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas D. Prévot

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Prévot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020169
2 201959
3 202056
4 201652
5 202151
6 201837
7 202036
8 202236
9 202134
10 201931
11 201928
12 202325
13 202024
14 202120
15 201818
16 202217
17 202217
18 201715
19 202115
20 201812

About Thomas D. Prévot

Thomas D. Prévot is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Biological Psychiatry, Molecular Biology and Cognitive Neuroscience, having authored 42 papers that have together received 837 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Stress Responses and Cortisol (15 papers), Tryptophan and brain disorders (14 papers), Receptor Mechanisms and Signaling (5 papers), Neuroendocrine regulation and behavior (4 papers), Neural dynamics and brain function (4 papers), Memory and Neural Mechanisms (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Biological Psychiatry (216 citations), Behavioral Neuroscience (205 citations), Cellular and Molecular Neuroscience (309 citations), Neurology (103 citations) and Cognitive Neuroscience (170 citations). Thomas D. Prévot has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Etienne Sibille, Mounira Banasr, Keith A. Misquitta, Corey Fee, James M. Cook, Jean‐Louis Guillou, Guanguan Li, Daniel Béracochéa, Yuliya S. Nikolova and Daniel E. Knutson. Their work appears in journals such as Neuropsychopharmacology, Biological Psychiatry, Neuropharmacology, The International Journal of Neuropsychopharmacology and International Journal of Molecular Sciences.

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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