F Potet

2.6k citations
64 papers · 2.0k · h-index 26

Impact in

Papers in

F Potet

60 papers receiving 1.9k citations

Peers

F Potet
Comparison fields: 5 of 94
  • Cardiology and Cardiovascular Medicine 1.2k
  • Gastroenterology 90
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 247
  • Hepatology 59
Replace Victoria L. Halperin Kuhns with:
Victoria L. Halperin Kuhns United States
Xiemin Cao Canada
Fiona O’Mahony Ireland
Bin Kong China
Carl P. Nelson United Kingdom
Sandra W. Holmberg United States
Matthew D. Metcalf United States
Tatsunori Suzuki Japan
Karen E. Cosgrove United Kingdom
Jing Yu Liu China
F Potet relative to Victoria L. Halperin Kuhns United States Victoria L. Halperin Kuhns's profile →
Citations per field
00.5×2×4×6×8×9×
Victoria L. Halperin Kuhns · 1×
Citations per year

Countries citing papers authored by F Potet

Since Specialization
Citations

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

Fields of papers citing papers by F Potet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001309
2 2003140
3 1993118
4 2001114
5 202293
6 200390
7 199688
8 201876
9 200974
10 200865
11 201460
12
[Cystic dystrophy on aberrant pancreas of the duodenal wall].
197058
13 200153
14 200450
15 201845
16 201444
17 201941
18 202039
19 201938
20 199136

About F Potet

F Potet is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Surgery and Rheumatology, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (28 papers), Ion channel regulation and function (17 papers), Gastrointestinal disorders and treatments (5 papers), Pancreatitis Pathology and Treatment (5 papers), Intestinal Malrotation and Obstruction Disorders (5 papers), Neuroscience and Neural Engineering (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Gastroenterology (90 citations), Molecular Biology (1.0k citations), Cellular and Molecular Neuroscience (247 citations) and Hepatology (59 citations). F Potet has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Denis Escande, Isabelle Baró, Jean‐Jacques Schott, Alfred L. George, Vincent Probst, Hervé Le Marec, Sophie Demolombe, Florence Kyndt, Jeffrey R. Balser and Walter Chazin. Their work appears in journals such as Molecular Pharmacology, Journal of Biological Chemistry, Heart Rhythm, Circulation Genomic and Precision Medicine and Journal of Molecular and Cellular Cardiology.

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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