Philippe Vayer

1.9k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

Philippe Vayer is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Philippe Vayer has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 9 papers in Spectroscopy. Recurrent topics in Philippe Vayer's work include Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). Philippe Vayer is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). Philippe Vayer collaborates with scholars based in France, Italy and Morocco. Philippe Vayer's co-authors include Michel Maître, Paul Mandel, Bruno O. Villoutreix, Maria A. Miteva, Gautier Moroy, Virginie Martiny, Serge Gobaille, C. Cash, Alban Arrault and Gilles Marcou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Philippe Vayer

28 papers receiving 1.4k citations

Hit Papers

Drug discovery and development: introduction to the gener... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philippe Vayer France 19 521 476 451 293 169 28 1.4k
Izet M. Kapetanović United States 28 1.1k 2.2× 337 0.7× 296 0.7× 44 0.2× 126 0.7× 94 2.8k
Anabella Villalobos United States 17 1.1k 2.2× 381 0.8× 627 1.4× 59 0.2× 112 0.7× 25 2.3k
Henryk Marona Poland 21 618 1.2× 326 0.7× 76 0.2× 104 0.4× 86 0.5× 135 1.7k
Niels Jensen United States 19 1.4k 2.7× 546 1.1× 898 2.0× 37 0.1× 94 0.6× 36 2.5k
Thomas Balle Denmark 26 1.3k 2.6× 417 0.9× 345 0.8× 43 0.1× 74 0.4× 91 2.0k
Angeliki P. Kourounakis Greece 29 894 1.7× 173 0.4× 198 0.4× 113 0.4× 41 0.2× 69 2.1k
Zdzisław Chilmończyk Poland 20 662 1.3× 187 0.4× 184 0.4× 44 0.2× 214 1.3× 92 1.3k
Ramakrishna Nirogi India 24 573 1.1× 298 0.6× 180 0.4× 43 0.1× 292 1.7× 198 2.1k
Krista Laine Finland 26 602 1.2× 310 0.7× 77 0.2× 94 0.3× 76 0.4× 44 2.1k
Giovanni Lentini Italy 29 1.2k 2.3× 254 0.5× 217 0.5× 39 0.1× 238 1.4× 129 2.3k

Countries citing papers authored by Philippe Vayer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Philippe Vayer

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Vayer. A scholar is included among the top collaborators of Philippe Vayer 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 Philippe Vayer. Philippe Vayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singh, Natesh, et al.. (2023). Drug discovery and development: introduction to the general public and patient groups. SHILAP Revista de lepidopterología. 3. 98 indexed citations breakdown →
2.
Bocci, Giovanni, A Moreau, Philippe Vayer, et al.. (2018). New insights in the in vitro characterisation and molecular modelling of the P-glycoprotein inhibitory promiscuity. European Journal of Pharmaceutical Sciences. 121. 85–94. 9 indexed citations
3.
Bocci, Giovanni, et al.. (2017). ADME-Space: a new tool for medicinal chemists to explore ADME properties. Scientific Reports. 7(1). 6359–6359. 67 indexed citations
4.
Bureau, Ronan, et al.. (2017). A Computational Selection of Metabolite Biomarkers Using Emerging Pattern Mining: A Case Study in Human Hepatocellular Carcinoma. Journal of Proteome Research. 16(6). 2240–2249. 7 indexed citations
5.
Chapy, Hélène, Laura Goracci, Philippe Vayer, et al.. (2015). Pharmacophore‐based discovery of inhibitors of a novel drug/proton antiporter in human brain endothelial hCMEC/D3 cell line. British Journal of Pharmacology. 172(20). 4888–4904. 28 indexed citations
6.
Martinez‐Sanz, Juan, et al.. (2013). New QSAR Models for Human Cytochromes P450, 1A2, 2D6 and 3A4 Implicated in the Metabolism of Drugs. Relevance of Dataset on Model Development.. Molecular Informatics. 32(7). 573–577. 2 indexed citations
7.
Hamon, Véronique, Dragos Horvath, Cédric Gaudin, et al.. (2012). QSAR Modelling of CYP3A4 Inhibition as a Screening Tool in the Context of DrugDrug Interaction Studies. Molecular Informatics. 31(9). 669–677. 4 indexed citations
8.
Marcou, Gilles, et al.. (2012). Interpretability of SAR/QSAR Models of any Complexity by Atomic Contributions. Molecular Informatics. 31(9). 639–642. 33 indexed citations
9.
Guilloux, Vincent Le, Alban Arrault, Lionel Colliandre, et al.. (2012). Mining collections of compounds with Screening Assistant 2. Journal of Cheminformatics. 4(1). 20–20. 24 indexed citations
10.
Moroy, Gautier, Virginie Martiny, Philippe Vayer, Bruno O. Villoutreix, & Maria A. Miteva. (2011). Toward in silico structure-based ADMET prediction in drug discovery. Drug Discovery Today. 17(1-2). 44–55. 217 indexed citations
11.
Vayer, Philippe, et al.. (2009). Apports de la chémo-informatique dans la recherche et l’optimisation des molécules d’intérêt thérapeutique. médecine/sciences. 25(10). 871–877. 2 indexed citations
12.
Maître, Michel, Viviane Hechler, Philippe Vayer, et al.. (1990). A specific gamma-hydroxybutyrate receptor ligand possesses both antagonistic and anticonvulsant properties.. Journal of Pharmacology and Experimental Therapeutics. 255(2). 657–663. 134 indexed citations
13.
Vayer, Philippe & Michel Maître. (1989). γ‐Hydroxybutyrate Stimulation of the Formation of Cyclic GMP and Inositol Phosphates in Rat Hippocampal Slices. Journal of Neurochemistry. 52(5). 1382–1387. 44 indexed citations
14.
Vayer, Philippe, et al.. (1988). Gamma hydroxybutyrate distribution and turnover rates in discrete brain regions of the rat. Neurochemistry International. 12(1). 53–59. 64 indexed citations
16.
Vayer, Philippe, Paul Mandel, & Michel Maître. (1987). Gamma-hydroxybutyrate, a possible neurotransmitter. Life Sciences. 41(13). 1547–1557. 157 indexed citations
17.
Vayer, Philippe, et al.. (1987). Effect of Anticonvulsant Drugs on 7‐Hydroxybutyrate Release from Hippocampal Slices: Inhibition by Valproate and Ethosuximide. Journal of Neurochemistry. 49(4). 1022–1024. 11 indexed citations
18.
Vayer, Philippe, Paul Mandel, & Michel Maître. (1985). Conversion of γ‐Hydroxybutyrate to γ‐Aminobutyrate In Vitro. Journal of Neurochemistry. 45(3). 810–814. 59 indexed citations
19.
Vayer, Philippe, Daniel Dessort, Jean‐Jacques Bourguignon, et al.. (1985). Natural occurrence of trans-gamma hydroxycrotonic acid in rat brain. Biochemical Pharmacology. 34(13). 2401–2404. 16 indexed citations
20.
Cash, C., Philippe Vayer, Paul Mandel, & Michel Maître. (1985). Tryptophan 5‐hydroxylase. European Journal of Biochemistry. 149(2). 239–245. 70 indexed citations

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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