P Chabrier

66 total papers · 571 total citations
33 papers, 453 citations indexed

About

P Chabrier is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, P Chabrier has authored 33 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in P Chabrier's work include Nitric Oxide and Endothelin Effects (9 papers), Receptor Mechanisms and Signaling (9 papers) and Neuropeptides and Animal Physiology (4 papers). P Chabrier is often cited by papers focused on Nitric Oxide and Endothelin Effects (9 papers), Receptor Mechanisms and Signaling (9 papers) and Neuropeptides and Animal Physiology (4 papers). P Chabrier collaborates with scholars based in France, United States and Netherlands. P Chabrier's co-authors include P. Braquet, M.T. Domingo, B. Spinnewyn, Isabelle Viossat, Serge Adnot, Teresa Auguet, Christian Brun‐Buisson, Françoise Roudot‐Thoraval, Pierre Andrivet and Pascale Plas and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Brain Research.

In The Last Decade

P Chabrier

31 papers receiving 417 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
P Chabrier 147 135 106 82 62 33 453
David Zhang 61 0.4× 101 0.7× 103 1.0× 79 1.0× 27 0.4× 28 433
Lyudmyla Borysova 102 0.7× 151 1.1× 110 1.0× 29 0.4× 74 1.2× 20 426
Sylvie Delaflotte 316 2.1× 188 1.4× 164 1.5× 32 0.4× 81 1.3× 29 548
Enyin Lai 132 0.9× 166 1.2× 105 1.0× 36 0.4× 20 0.3× 33 547
E. T. Sutton 263 1.8× 121 0.9× 60 0.6× 28 0.3× 47 0.8× 34 497
Brandi M. Wynne 104 0.7× 227 1.7× 92 0.9× 89 1.1× 46 0.7× 28 532
Lauren A. Biwer 159 1.1× 232 1.7× 125 1.2× 34 0.4× 24 0.4× 29 540
Seung Chan Kim 101 0.7× 109 0.8× 26 0.2× 39 0.5× 37 0.6× 36 429
Qin Zhao 85 0.6× 243 1.8× 47 0.4× 56 0.7× 31 0.5× 22 442
Xiaobo Jiang 124 0.8× 165 1.2× 92 0.9× 162 2.0× 49 0.8× 34 524

Countries citing papers authored by P Chabrier

Since Specialization
Citations

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

Fields of papers citing papers by P Chabrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Chabrier

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

All Works

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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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2026