Marcel Debray

42 papers receiving 1.3k citations

Peers

Marcel Debray
Comparison fields: 5 of 119
  • Toxicology 51
  • Behavioral Neuroscience 39
  • Cell Biology 184
  • Emergency Medicine 82
  • Cellular and Molecular Neuroscience 176
Replace Antoine Coquerel with:
Antoine Coquerel France
Virendra K. Sharma United States
Kathryn Elliott United States
Steven N. Ebert United States
Cynthia Marie‐Claire France
Ricardo A. Cruciani United States
Patricia Murphy Canada
Peer B. Jacobson United States
J. M. Lipton United States
Xia Liu China
Marcel Debray relative to Antoine Coquerel France Antoine Coquerel's profile →
Citations per field
00.5×3.7×
Antoine Coquerel · 1×
Citations per year

Countries citing papers authored by Marcel Debray

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Debray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011236
2 2002126
3 200593
4 200958
5 199651
6 199447
7 200447
8 199747
9 199841
10 199741
11 201238
12 201138
13 199338
14 200429
15 200829
16 200329
17 200028
18 200828
19 199326
20 200925

About Marcel Debray

Marcel Debray is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Oncology and Toxicology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Drug Transport and Resistance Mechanisms (8 papers), Cannabis and Cannabinoid Research (8 papers), Forensic Toxicology and Drug Analysis (5 papers), Ion channel regulation and function (4 papers), Pesticide Exposure and Toxicity (4 papers), Fatty Acid Research and Health (3 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Toxicology (51 citations), Behavioral Neuroscience (39 citations), Cell Biology (184 citations), Emergency Medicine (82 citations) and Cellular and Molecular Neuroscience (176 citations). Marcel Debray has collaborated with scholars based in France, Finland and Pakistan. Frequent co-authors include Jean‐Michel Scherrmann, Jean‐Marie Bourre, Salvatore Cisternino, Matthieu Piel, Renaud Poincloux, Maryse Romao, Philippe Chavrier, Olivier Collin, Floria Lizárraga and Frédéric J. Baud. Their work appears in journals such as Toxicology Letters, Toxicology and Applied Pharmacology, Psychopharmacology, Pharmaceutical Research and Toxicological Sciences.

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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