M Payet

750 citations
39 papers · 646 · h-index 14

Impact in

Papers in

M Payet

36 papers receiving 608 citations

Peers

M Payet
Comparison fields: 5 of 75
  • Behavioral Neuroscience 42
  • Cellular and Molecular Neuroscience 213
  • Cardiology and Cardiovascular Medicine 227
  • Endocrinology, Diabetes and Metabolism 140
  • Endocrine and Autonomic Systems 44
Replace M A Takiyyuddin with:
M A Takiyyuddin United States
Dirk Heitzmann Germany
S. Heisler Canada
Hitomi Shinoura Japan
Azucena L. Alvarez Argentina
B. Cantau France
Larry D. Alexander United States
Nathalie Coutry France
J.P. Richoux France
Michael Heiber Canada
M Payet relative to M A Takiyyuddin United States M A Takiyyuddin's profile →
Citations per field
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M A Takiyyuddin · 1×
Citations per year

Countries citing papers authored by M Payet

Since Specialization
Citations

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

Fields of papers citing papers by M Payet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200383
2 199666
3 198966
4 199159
5 199445
6 198533
7 198132
8 199832
9 198031
10 198027
11 199521
12 199120
13 197520
14 198515
15 198810
16 198210
17 19929
18 19829
19 19978
20 19887

About M Payet

M Payet is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Epidemiology, having authored 39 papers that have together received 646 indexed citations. Recurring topics across this work include Ion channel regulation and function (17 papers), Cardiac electrophysiology and arrhythmias (13 papers), Neuroscience and Neural Engineering (9 papers), Receptor Mechanisms and Signaling (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Renin-Angiotensin System Studies (3 papers), Renal Diseases and Glomerulopathies (3 papers) and Electrochemical Analysis and Applications (2 papers). The work is most often cited by research in Behavioral Neuroscience (42 citations), Cellular and Molecular Neuroscience (213 citations), Cardiology and Cardiovascular Medicine (227 citations), Endocrinology, Diabetes and Metabolism (140 citations) and Endocrine and Autonomic Systems (44 citations). M Payet has collaborated with scholars based in Canada, France and Senegal. Frequent co-authors include Nicole Gallo‐Payet, Louis Gendron, Lyne Bilodeau, Gilles Guillon, Thierry Durroux, Rémy Sauvé, L. A. Chouinard, Étienne Rousseau, Eric Grazzini and Alžbeta Chorvátová. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Endocrine Research, Journal of Molecular and Cellular Cardiology, Endocrinology and Cell Calcium.

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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