Bernard Gout
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 10%
- Pathology and Forensic Medicine
- Oncology
- Co-authors
- Antoine BrilIsabelle Berrebi‐BertrandJean‐François FaivreLaurent LandaisCynthia L. Burns-KurtisDavid MazuraisThierry CalmelsAnne M. Romanic
- Topics
- Cardiac electrophysiology and arrhythmias (16 papers)Receptor Mechanisms and Signaling (10 papers)Cardiac Ischemia and Reperfusion (6 papers)
- Journals
- Journal of Cell ScienceJournal of Pharmacology and Experimental TherapeuticsCardiovascular Research
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Bernard Gout
32 papers receiving 768 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 503
- Cardiology and Cardiovascular Medicine 377
- Cellular and Molecular Neuroscience 137
- Pathology and Forensic Medicine 108
- Oncology 108
Countries citing papers authored by Bernard Gout
This map shows the geographic impact of Bernard Gout'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 Bernard Gout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Gout more than expected).
Fields of papers citing papers by Bernard Gout
This network shows the impact of papers produced by Bernard Gout. 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 Bernard Gout. The network helps show where Bernard Gout may publish in the future.
Co-authorship network of co-authors of Bernard Gout
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Gout. A scholar is included among the top collaborators of Bernard Gout based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernard Gout. Bernard Gout is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 6 | |
| 3 | 79 | |
| 4 | 12 | |
| 5 | 51 | |
| 6 | 104 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 15 | |
| 15 | 99 | |
| 16 | 12 | |
| 17 | 21 | |
| 18 | 36 | |
| 19 | 2 | |
| 20 | 1 |
About Bernard Gout
Bernard Gout is a scholar working on Cardiology and Cardiovascular Medicine, Electrochemistry and Pharmacy, having authored 32 papers that have together received 810 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (16 papers), Receptor Mechanisms and Signaling (10 papers) and Cardiac Ischemia and Reperfusion (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (377 citations), Cellular and Molecular Neuroscience (137 citations) and Molecular Biology (503 citations). Bernard Gout has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Antoine Bril, Isabelle Berrebi‐Bertrand, Jean‐François Faivre, Laurent Landais, Cynthia L. Burns-Kurtis, David Mazurais, Thierry Calmels, Anne M. Romanic, Philippe Robert and Eliot H. Ohlstein. Their work appears in journals such as Journal of Cell Science, Journal of Pharmacology and Experimental Therapeutics and Cardiovascular 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.