Danielle Feuvray

60 papers receiving 1.8k citations

Peers

Danielle Feuvray
Comparison fields: 5 of 89
  • Cardiology and Cardiovascular Medicine 1.1k
  • Pathology and Forensic Medicine 626
  • Clinical Biochemistry 157
  • Emergency Medicine 165
  • Developmental Neuroscience 67
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Neely United States
Vijayan Elimban Canada
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Gregory K. Asimakis United States
Ф. З. Меерсон Russia
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J A Wisneski United States
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Countries citing papers authored by Danielle Feuvray

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Feuvray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979157
2 1978142
3 1993138
4 1996133
5 1997120
6
Metabolic products and myocardial ischemia.
1981109
7 199085
8 200776
9 200550
10
The St. Thomas' hospital cardioplegic solution: a characterization in two species.
198146
11 199544
12 200642
13 198839
14 199739
15 199638
16 200035
17 200834
18 198332
19 197530
20 200229

About Danielle Feuvray

Danielle Feuvray is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Clinical Biochemistry, Molecular Biology and Developmental Neuroscience, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (23 papers), Cardiac Ischemia and Reperfusion (23 papers), Ion channel regulation and function (15 papers), Cardiovascular Function and Risk Factors (14 papers), Metabolism and Genetic Disorders (11 papers), Mitochondrial Function and Pathology (8 papers), Advanced MRI Techniques and Applications (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Pathology and Forensic Medicine (626 citations), Clinical Biochemistry (157 citations), Emergency Medicine (165 citations) and Developmental Neuroscience (67 citations). Danielle Feuvray has collaborated with scholars based in France, United Kingdom and Norway. Frequent co-authors include J. R. Neely, Dominique Lagadic‐Gossmann, Philippe Jourdon, Joël de Leiris, Monique Bernard, Nassirah Khandoudi, Sophie Tamareille, Per Jynge, M.V. Braimbridge and Delphine Baetz. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Cardiovascular Research, Diabetes, American Journal of Physiology-Heart and Circulatory Physiology and Circulation Research.

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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