Guy Vassort

8.7k citations
138 papers · 7.2k · h-index 52

Impact in

Papers in

Guy Vassort

137 papers receiving 6.7k citations

Peers

Guy Vassort
Comparison fields: 5 of 129
  • Cardiology and Cardiovascular Medicine 4.0k
  • Cellular and Molecular Neuroscience 2.0k
  • Physiology 516
  • Molecular Biology 4.5k
  • Electrochemistry 239
Replace Hasso Scholz with:
Hasso Scholz Germany
Wilhelm Schmitz Germany
Steven Reiken United States
Philip Palade United States
Andrew Tinker United Kingdom
Cecilia Hidalgo Chile
H Kuriyama Japan
Michel Fosset France
J. Hescheler Germany
Stephan E. Lehnart Germany
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 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969373
2 2001235
3 1993207
4 2003200
5 1969197
6 1968192
7 2002174
8 2001166
9 1979158
10 2005134
11 1985134
12 1999132
13 2005132
14 1984125
15 1990125
16 1972114
17 1968113
18 1992111
19 2005111
20 1986107

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 138 papers that have together received 7.2k 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 (11 papers), Cardiovascular Function and Risk Factors (11 papers) and Cardiovascular Effects of Exercise (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.0k citations), Cellular and Molecular Neuroscience (2.0k citations), Physiology (516 citations), Molecular Biology (4.5k citations) and Electrochemistry (239 citations). Guy Vassort has collaborated with scholars based in France, Türkiye and United States. Frequent co-authors include Michel Pucéat, O Rougier, Frédérique Scamps, Ana M. Gómez, Alain Lacampagne, M Horácková, Belma Turan, Jean‐Pierre Bénitah, Renée Ventura‐Clapier 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 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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