Darlaine Pétrin

40 total papers · 773 total citations
30 papers, 583 citations indexed

About

Darlaine Pétrin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Darlaine Pétrin has authored 30 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Darlaine Pétrin's work include Receptor Mechanisms and Signaling (16 papers), Neuropeptides and Animal Physiology (5 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). Darlaine Pétrin is often cited by papers focused on Receptor Mechanisms and Signaling (16 papers), Neuropeptides and Animal Physiology (5 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). Darlaine Pétrin collaborates with scholars based in Canada, United States and Japan. Darlaine Pétrin's co-authors include Terence E. Hébert, Dominic Devost, Rory Sleno, Eugénie Goupil, Alice Zhang, Phan Trieu, Stéphane A. Laporte, Mélanie Robitaille, Junken Aoki and Yuji Shinjo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Physiology.

In The Last Decade

Darlaine Pétrin

28 papers receiving 579 citations

Author Peers

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

Author Last Decade Papers Cites
Darlaine Pétrin 431 217 75 55 53 30 583
Daolai Zhang 488 1.1× 133 0.6× 70 0.9× 26 0.5× 40 0.8× 29 692
Chanjuan Xu 502 1.2× 329 1.5× 29 0.4× 56 1.0× 69 1.3× 28 698
Katharina Simon 431 1.0× 204 0.9× 92 1.2× 32 0.6× 34 0.6× 21 696
Brent Larsen 303 0.7× 103 0.5× 45 0.6× 44 0.8× 73 1.4× 33 643
Étienne Khoury 417 1.0× 221 1.0× 47 0.6× 59 1.1× 45 0.8× 28 663
Doreen Thor 402 0.9× 187 0.9× 68 0.9× 35 0.6× 23 0.4× 25 645
Tau Benned‐Jensen 367 0.9× 162 0.7× 171 2.3× 80 1.5× 38 0.7× 22 645
Geneviève Laroche 374 0.9× 117 0.5× 59 0.8× 40 0.7× 93 1.8× 27 542
Lucas T. Parreiras‐e‐Silva 463 1.1× 179 0.8× 62 0.8× 30 0.5× 53 1.0× 24 685
J. Robert Bostwick 308 0.7× 156 0.7× 30 0.4× 27 0.5× 56 1.1× 23 529

Countries citing papers authored by Darlaine Pétrin

Since Specialization
Citations

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

Fields of papers citing papers by Darlaine Pétrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darlaine Pétrin

This figure shows the co-authorship network connecting the top 25 collaborators of Darlaine Pétrin. A scholar is included among the top collaborators of Darlaine Pétrin 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 Darlaine Pétrin. Darlaine Pétrin 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