Darlaine Pétrin

779 total citations
30 papers, 586 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 586 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), Protein Kinase Regulation and GTPase Signaling (5 papers) and Ubiquitin and proteasome pathways (5 papers). Darlaine Pétrin is often cited by papers focused on Receptor Mechanisms and Signaling (16 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Ubiquitin and proteasome pathways (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 Asuka Inoue 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 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darlaine Pétrin Canada 15 432 218 76 55 53 30 586
Lorena A. Kallal United States 13 732 1.7× 291 1.3× 67 0.9× 75 1.4× 115 2.2× 25 895
Thomas McAvoy United States 14 601 1.4× 176 0.8× 58 0.8× 35 0.6× 103 1.9× 19 822
Viktoria Lukashova Canada 8 450 1.0× 228 1.0× 68 0.9× 49 0.9× 33 0.6× 8 556
Jialu Wang China 13 628 1.5× 231 1.1× 36 0.5× 50 0.9× 54 1.0× 25 830
Eugénie Goupil Canada 13 330 0.8× 153 0.7× 23 0.3× 26 0.5× 45 0.8× 17 503
Jurgen F.M. Vanhauwe Belgium 8 596 1.4× 302 1.4× 40 0.5× 38 0.7× 80 1.5× 10 791
Lucas T. Parreiras‐e‐Silva Brazil 16 466 1.1× 182 0.8× 62 0.8× 30 0.5× 53 1.0× 24 690
Julie Quoyer France 7 421 1.0× 229 1.1× 47 0.6× 32 0.6× 22 0.4× 8 560
Thomas F. Pack United States 13 380 0.9× 238 1.1× 51 0.7× 36 0.7× 19 0.4× 17 556
Rory Sleno Canada 11 424 1.0× 247 1.1× 25 0.3× 52 0.9× 31 0.6× 14 490

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

20 of 20 papers shown
1.
Pétrin, Darlaine, et al.. (2025). Gβγ Signaling: Lessons Across the Cellular Multiverse. The Annual Review of Pharmacology and Toxicology. 66(1). 487–500.
2.
Allen, Bruce G., Clémence Merlen, Ana F. Branco, Darlaine Pétrin, & Terence E. Hébert. (2024). Understanding the impact of nuclear-localized GPCRs on cellular signalling. Cellular Signalling. 123. 111358–111358. 3 indexed citations
3.
Rath, D., Dominic Devost, Darlaine Pétrin, et al.. (2024). Structure and dynamics of a pentameric KCTD5/CUL3/Gβγ E3 ubiquitin ligase complex. Proceedings of the National Academy of Sciences. 121(17). e2315018121–e2315018121. 7 indexed citations
4.
Pétrin, Darlaine, et al.. (2024). Evidence for heterodimerization and functional interaction of the urotensin II and the angiotensin II type 1 receptors. Cellular Signalling. 116. 111056–111056. 1 indexed citations
5.
Martin, Ryan, Andrew N. Bayne, Darlaine Pétrin, et al.. (2023). Gβγ subunits colocalize with RNA polymerase II and regulate transcription in cardiac fibroblasts. Journal of Biological Chemistry. 299(4). 103064–103064. 4 indexed citations
6.
Pétrin, Darlaine, et al.. (2021). Measuring hypertrophy in neonatal rat primary cardiomyocytes and human iPSC-derived cardiomyocytes. Methods. 203. 447–464. 4 indexed citations
7.
Devost, Dominic, Rory Sleno, Darlaine Pétrin, et al.. (2017). Conformational Profiling of the AT1 Angiotensin II Receptor Reflects Biased Agonism, G Protein Coupling, and Cellular Context. Journal of Biological Chemistry. 292(13). 5443–5456. 65 indexed citations
8.
Pétrin, Darlaine, et al.. (2017). Distinct Conformational Dynamics of Three G Protein-Coupled Receptors Measured Using FlAsH-BRET Biosensors. Frontiers in Endocrinology. 8. 61–61. 20 indexed citations
9.
Trieu, Phan, et al.. (2016). PPIP5K1 interacts with the exocyst complex through a C-terminal intrinsically disordered domain and regulates cell motility. Cellular Signalling. 28(5). 401–411. 21 indexed citations
10.
Gora, Sarah, Rhiannon I. Campden, Mélanie Robitaille, et al.. (2015). Gβ 4 γ 1 as a modulator of M3 muscarinic receptor signalling and novel roles of Gβ 1 subunits in the modulation of cellular signalling. Cellular Signalling. 27(8). 1597–1608. 14 indexed citations
11.
Robertson, Derek N., Rory Sleno, Karim Nagi, et al.. (2015). Design and construction of conformational biosensors to monitor ion channel activation: A prototype FlAsH/BRET-approach to Kir3 channels. Methods. 92. 19–35. 12 indexed citations
12.
Tadevosyan, Artavazd, Myriam Létourneau, Benjamin Folch, et al.. (2014). Photoreleasable ligands to study intracrine angiotensin II signalling. The Journal of Physiology. 593(3). 521–539. 17 indexed citations
13.
Campden, Rhiannon I., Darlaine Pétrin, Mélanie Robitaille, et al.. (2014). Tandem Affinity Purification to Identify Cytosolic and Nuclear Gβγ-Interacting Proteins. Methods in molecular biology. 1234. 161–184. 6 indexed citations
14.
Pétrin, Darlaine & Terence E. Hébert. (2012). The Functional Size of GPCRs – Monomers, Dimers or Tetramers?. Sub-cellular biochemistry. 63. 67–81. 16 indexed citations
15.
Poursharifi, Pegah, Marc Lapointe, Darlaine Pétrin, et al.. (2012). C5L2 and C5aR interaction in adipocytes and macrophages: Insights into adipoimmunology. Cellular Signalling. 25(4). 910–918. 42 indexed citations
16.
Pétrin, Darlaine & Terence E. Hébert. (2011). Imaging-Based Approaches to Understanding G Protein-Coupled Receptor Signalling Complexes. Methods in molecular biology. 756. 37–60. 9 indexed citations
17.
Goupil, Eugénie, Christiane Quiniou, Darlaine Pétrin, et al.. (2010). A Novel Biased Allosteric Compound Inhibitor of Parturition Selectively Impedes the Prostaglandin F2α-mediated Rho/ROCK Signaling Pathway. Journal of Biological Chemistry. 285(33). 25624–25636. 77 indexed citations
18.
Robitaille, Mélanie, Sarah Gora, Ying Wang, et al.. (2010). Gβγ is a negative regulator of AP-1 mediated transcription. Cellular Signalling. 22(8). 1254–1266. 27 indexed citations
19.
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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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