Guy Vassort

8.7k citations
144 papers · 7.8k · h-index 54

Impact in

Papers in

Guy Vassort

142 papers receiving 7.1k citations

Peers

Guy Vassort
Comparison fields: 5 of 131
  • Cardiology and Cardiovascular Medicine 4.3k
  • Physiology 583
  • Cellular and Molecular Neuroscience 2.2k
  • Molecular Biology 4.9k
  • Electrochemistry 268
Replace Hasso Scholz with:
Hasso Scholz Germany
Steven Reiken United States
Michihiko Tada Japan
Philip Palade United States
Cecilia Hidalgo Chile
H Kuriyama Japan
Andrew Tinker United Kingdom
J. Hescheler Germany
Michel Fosset France
Rodolphe Fischmeister France
Guy Vassort relative to Hasso Scholz Germany Hasso Scholz's profile →
Citations per field
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Hasso Scholz · 1×
Citations per year

Countries citing papers authored by Guy Vassort

Since Specialization
Citations

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

Fields of papers citing papers by Guy Vassort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969409
2 2001243
3 1969230
4 1968221
5 1993220
6 2003210
7 2002181
8 2001171
9 1979169
10 1985147
11 2005137
12 1984134
13 2005134
14 1999133
15 1990130
16 1972122
17 1992120
18 1968119
19 1986112
20 2005112

About Guy Vassort

Guy Vassort is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Physiology, having authored 144 papers that have together received 7.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (78 papers), Ion channel regulation and function (71 papers), Neuroscience and Neural Engineering (26 papers), Neuroscience and Neuropharmacology Research (18 papers), Cardiomyopathy and Myosin Studies (17 papers), Cardiac Ischemia and Reperfusion (12 papers), Adenosine and Purinergic Signaling (11 papers) and Cardiovascular Function and Risk Factors (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.3k citations), Physiology (583 citations), Cellular and Molecular Neuroscience (2.2k citations), Molecular Biology (4.9k citations) and Electrochemistry (268 citations). Guy Vassort has collaborated with scholars based in France, United States and Türkiye. Frequent co-authors include O Rougier, Michel Pucéat, Frédérique Scamps, Ana M. Gómez, M Horácková, Belma Turan, Alain Lacampagne, Renée Ventura‐Clapier, Jean‐Pierre Bénitah and Julio L. Álvarez. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Circulation Research, The Journal of Physiology, American Journal of Physiology-Heart and Circulatory Physiology and The Journal of General Physiology.

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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