Philippe Vayer
Impact in
- Toxicology top 0.5%
- Forensic Toxicology and Drug Analysis
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- Computational Drug Discovery Methods
Papers in
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- Metabolomics and Mass Spectrometry Studies 6
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- Computational Drug Discovery Methods 11
- Co-authors
- Michel Maître (11 shared papers)Paul Mandel (8 shared papers)Bruno O. Villoutreix (4 shared papers)Maria A. Miteva (3 shared papers)Gautier Moroy (2 shared papers)Virginie Martiny (2 shared papers)Serge Gobaille (3 shared papers)C. Cash (2 shared papers)
In The Last Decade
Philippe Vayer
28 papers receiving 1.4k citations
Philippe Vayer's Hit Papers
Peers
Comparison fields: 5 of 124
- Toxicology 293
- Computational Theory and Mathematics 451
- Cellular and Molecular Neuroscience 476
- Biological Psychiatry 34
- Pharmacology 112
Countries citing papers authored by Philippe Vayer
This map shows the geographic impact of Philippe Vayer'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 Philippe Vayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Vayer more than expected).
Fields of papers citing papers by Philippe Vayer
This network shows the impact of papers produced by Philippe Vayer. 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 Philippe Vayer. The network helps show where Philippe Vayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Vayer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 217 | |
| 2 | 2008 | 164 | |
| 3 | 1987 | 157 | |
| 4 | 1990 | 134 | |
| 5 | Drug discovery and development: introduction to the general public and patient groups Hit paper breakdown → | 2023 | 98 |
| 6 | 1985 | 70 | |
| 7 | 2017 | 67 | |
| 8 | 1988 | 64 | |
| 9 | 1985 | 59 | |
| 10 | 2013 | 51 | |
| 11 | 2015 | 48 | |
| 12 | 1989 | 44 | |
| 13 | 1987 | 34 | |
| 14 | 2012 | 33 | |
| 15 | 2012 | 30 | |
| 16 | 2015 | 29 | |
| 17 | 2015 | 28 | |
| 18 | 2012 | 24 | |
| 19 | 1985 | 23 | |
| 20 | 1987 | 18 |
About Philippe Vayer
Philippe Vayer is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Cellular and Molecular Neuroscience and Pharmacology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (9 papers), Pharmacogenetics and Drug Metabolism (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Biochemical effects in animals (5 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Toxicology (293 citations), Computational Theory and Mathematics (451 citations), Cellular and Molecular Neuroscience (476 citations), Biological Psychiatry (34 citations) and Pharmacology (112 citations). Philippe Vayer has collaborated with scholars based in France, Italy and Morocco. Frequent co-authors include Michel Maître, Paul Mandel, Bruno O. Villoutreix, Maria A. Miteva, Gautier Moroy, Virginie Martiny, Serge Gobaille, C. Cash, Alban Arrault and Alexandre Varnek. Their work appears in journals such as Molecular Informatics, Journal of Neurochemistry, Life Sciences, Scientific Reports and Journal of Pharmacology and Experimental Therapeutics.
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.