David Benoîst

1.5k citations
41 papers · 913 · h-index 17

Impact in

Papers in

David Benoîst

40 papers receiving 898 citations

Peers

David Benoîst
Comparison fields: 5 of 100
  • Cardiology and Cardiovascular Medicine 405
  • Animal Science and Zoology 96
  • Food Science 125
  • Pulmonary and Respiratory Medicine 162
  • Biotechnology 48
Replace Masahiro Ogawa with:
Masahiro Ogawa Japan
Nicholas M. Negretti United States
Yawen Zhou China
William P. Miller United States
H. Yoshida Japan
Weiwei Ji China
Hyun Jung Lee South Korea
Jingyi Luo China
José Manuel Cóndor Capcha United States
Takenori Akaike Japan
David Benoîst relative to Masahiro Ogawa Japan Masahiro Ogawa's profile →
Citations per field
00.5×10×16×
Masahiro Ogawa · 1×
Citations per year

Countries citing papers authored by David Benoîst

Since Specialization
Citations

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

Fields of papers citing papers by David Benoîst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018103
2 201383
3 201775
4 201271
5 201160
6 201157
7 201544
8 201143
9 201840
10 201430
11 201827
12 202226
13 201026
14 201024
15 201222
16 202319
17 201616
18 201613
19 201513
20 202211

About David Benoîst

David Benoîst is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 41 papers that have together received 913 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (12 papers), Pulmonary Hypertension Research and Treatments (9 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiovascular Effects of Exercise (6 papers), Ion channel regulation and function (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Congenital Heart Disease Studies (4 papers) and Microbial Inactivation Methods (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (405 citations), Animal Science and Zoology (96 citations), Food Science (125 citations), Pulmonary and Respiratory Medicine (162 citations) and Biotechnology (48 citations). David Benoîst has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Olivier Bernus, Ed White, M.A. Drake, Y. Jo, Rachel Stones, Mark J. Drinkhill, D.M. Barbano, Ruben Coronel, Alan P. Benson and Ronald Wilders. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Journal of Dairy Science, Heart Rhythm, Journal of Molecular and Cellular Cardiology and Progress in Biophysics and Molecular 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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