M Payet

750 citations
42 papers · 687 · h-index 14

Impact in

Papers in

M Payet

38 papers receiving 634 citations

Peers

M Payet
Comparison fields: 5 of 75
  • Cellular and Molecular Neuroscience 225
  • Cardiology and Cardiovascular Medicine 240
  • Behavioral Neuroscience 37
  • Endocrinology, Diabetes and Metabolism 139
  • Endocrine and Autonomic Systems 41
Replace Nathalie Lalevée with:
Nathalie Lalevée France
Dirk Heitzmann Germany
M A Takiyyuddin United States
S. Heisler Canada
Tilmann Volk Germany
Hitomi Shinoura Japan
B. Cantau France
Ayako Fukuda Japan
J.P. Richoux France
Toshiaki Nakai Japan
M Payet relative to Nathalie Lalevée France Nathalie Lalevée's profile →
Citations per field
00.5×2×2.8×
Nathalie Lalevée · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200385
2 198968
3 199667
4 199160
5 199447
6 198535
7 199834
8 198034
9 198133
10 198029
11 197527
12 199522
13 199120
14 198519
15 198811
16 198211
17 198210
18 19929
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 Surgery, having authored 42 papers that have together received 687 indexed citations. Recurring topics across this work include Ion channel regulation and function (18 papers), Cardiac electrophysiology and arrhythmias (14 papers), Neuroscience and Neural Engineering (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (6 papers), Renin-Angiotensin System Studies (3 papers), Renal Diseases and Glomerulopathies (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (225 citations), Cardiology and Cardiovascular Medicine (240 citations), Behavioral Neuroscience (37 citations), Endocrinology, Diabetes and Metabolism (139 citations) and Endocrine and Autonomic Systems (41 citations). M Payet has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Nicole Gallo‐Payet, Louis Gendron, Lyne Bilodeau, Gilles Guillon, Thierry Durroux, Rémy Sauvé, Eric Grazzini, Étienne Rousseau, L. A. Chouinard and Alžbeta Chorvátová. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Journal of Molecular and Cellular Cardiology, Endocrine Research, Endocrinology and The Journal of Membrane Biology.

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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