Stéphane St-Onge

1.3k citations
18 papers · 702 · 1 hit paper · h-index 13

Impact in

Papers in

Stéphane St-Onge

18 papers receiving 688 citations

Stéphane St-Onge's Hit Papers

Effector membrane translocation biosensors reveal G protein and βarrestin coupling profiles of 100 therapeutically relevant GPCRs 2022 · 145 citations
1450+1+2Years since publication4080120

Peers

Stéphane St-Onge
Comparison fields: 5 of 72
  • Endocrine and Autonomic Systems 193
  • Cellular and Molecular Neuroscience 270
  • Pharmacology 160
  • Nutrition and Dietetics 136
  • Toxicology 27
Replace Ryan D. White with:
Ryan D. White United States
Karen Benwell United Kingdom
Lawrence G. Iben United States
Virginia L. Lucaites United States
М. Yu. Bobrov Russia
Lakshmipathi Pandarinathan United States
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Makoto Ito Japan
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Citations per field
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Citations per year

Countries citing papers authored by Stéphane St-Onge

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane St-Onge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stéphane St-Onge. 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 Stéphane St-Onge. The network helps show where Stéphane St-Onge may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1999212
2
Effector membrane translocation biosensors reveal G protein and βarrestin coupling profiles of 100 therapeutically relevant GPCRs
Hit paper breakdown →
2022145
3 201078
4 199762
5 200753
6 202128
7 200024
8 200018
9 201213
10 200613
11 200912
12 201012
13 202212
14 201211
15 19944
16 20123
17 20161
18 20191

About Stéphane St-Onge

Stéphane St-Onge is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Surgery and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 702 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Cannabis and Cannabinoid Research (6 papers), Neuropeptides and Animal Physiology (4 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Apelin-related biomedical research (1 paper), Computational Drug Discovery Methods (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (193 citations), Cellular and Molecular Neuroscience (270 citations), Pharmacology (160 citations), Nutrition and Dietetics (136 citations) and Toxicology (27 citations). Stéphane St-Onge has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kemal Payza, Michel Bouvier, Thierry Groblewski, Eric Grazzini, Paola Lembo, Douglas A. Hubatsch, Chantévy Pou, Dajan O’Donnell, Philippe Walker and Manon Pelletier. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Canadian Journal of Cardiology, Pain, Nature Cell Biology and Circulation Heart Failure.

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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