P J Vaysse

1.5k citations
13 papers · 1.1k indexed · h-index 9

P J Vaysse

13 papers receiving 1.0k citations

Peers

P J Vaysse
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 774
  • Molecular Biology 629
  • Endocrine and Autonomic Systems 59
  • Developmental Neuroscience 32
  • Pharmacology 112
Replace J. Bockaert with:
J. Bockaert France
Kimberly R. Moore United States
Joanne R. Mathiasen United States
Olle Magnusson Sweden
J.A. García‐Sevilla Spain
M Bertolino United States
Michael Pasternack Finland
Vincent Santucci France
Doris Peter United States
Lorenzo Beani Italy
P J Vaysse relative to J. Bockaert France J. Bockaert's profile →
Citations per field
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Citations per year

Countries citing papers authored by P J Vaysse

Since Specialization
Citations

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

Fields of papers citing papers by P J Vaysse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P J Vaysse. 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 P J Vaysse. The network helps show where P J Vaysse may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 199748
2
Pharmacological characterization of the recombinant human and rat GALR1 galanin receptor
19963
3
Modeling and mutagenesis of the human alpha 1a-adrenoceptor: orientation and function of transmembrane helix V sidechains.
199620
4 19961
5
Pharmacological characterization of the recombinant human 5-HT-7 receptor subtype coupled to adenylate cyclase stimulation in a clonal cell line
19953
6
Re-evaluation of GABA transport in neuronal and glial cell cultures: correlation of pharmacology and mRNA localization.
199557
7 1995188
8 199486
9 1993437
10 199217
11 19902
12 1988112
13 198784

About P J Vaysse

P J Vaysse is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Clinical Biochemistry, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Photoreceptor and optogenetics research (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (774 citations), Molecular Biology (629 citations) and Endocrine and Autonomic Systems (59 citations). P J Vaysse has collaborated with scholars based in United States and France. Frequent co-authors include T. A. Branchek, Jonathan Bard, Nika Adham, Richard L. Weinshank, J M Zgombick, Thomas M. Laz, R. Suzanne Zukin, John A. Kessler, Eliot L. Gardner and R. Suzanne Zukin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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