Eric Martel

996 citations
40 papers · 735 · h-index 13

Impact in

Papers in

Eric Martel

39 papers receiving 713 citations

Peers

Eric Martel
Comparison fields: 5 of 93
  • Cardiology and Cardiovascular Medicine 217
  • Radiology, Nuclear Medicine and Imaging 212
  • Equine 13
  • Small Animals 40
  • Nutrition and Dietetics 77
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Eric Martel relative to Dan Farbstein Israel Dan Farbstein's profile →
Citations per field
00.5×10×16.3×
Dan Farbstein · 1×
Citations per year

Countries citing papers authored by Eric Martel

Since Specialization
Citations

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

Fields of papers citing papers by Eric Martel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012220
2 200591
3 200556
4 201344
5 199640
6 200727
7 201123
8 201122
9 201120
10
The preclinical assessment of the risk for QT interval prolongation.
200020
11 200719
12 200817
13 201017
14 199812
15 200012
16 201311
17 199411
18 199110
19 20248
20 20108

About Eric Martel

Eric Martel is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Nutrition and Dietetics and Biomedical Engineering, having authored 40 papers that have together received 735 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Heart Rate Variability and Autonomic Control (9 papers), Receptor Mechanisms and Signaling (4 papers), Ion channel regulation and function (4 papers), Fatty Acid Research and Health (3 papers), Computational Drug Discovery Methods (2 papers), Anesthesia and Sedative Agents (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (217 citations), Radiology, Nuclear Medicine and Imaging (212 citations), Equine (13 citations), Small Animals (40 citations) and Nutrition and Dietetics (77 citations). Eric Martel has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Serge Richard, Pascal Champéroux, Stéphanie Lerondel, Alain Le Pape, Jean‐Michel Pouvesle, Marc Vandamme, Delphine Riès, Laura Brullé, Valérie Trichet and Éric Robert. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Journal of Pharmacological and Toxicological Methods, Investigative Radiology, American Journal of Veterinary Research and Molecular Metabolism.

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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