Stéphane A. Laporte

10.6k citations
102 papers · 8.1k indexed · 3 hit papers · h-index 41

Impact in

Papers in

Stéphane A. Laporte

99 papers receiving 8.0k citations

Hit Papers

β-Arrestin 2: A Receptor-Regulated MAPK Scaffold for the Activation of JNK3 2000 · 699 citations
6991999202620082017200400600

Peers

Stéphane A. Laporte
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 4.0k
  • Molecular Biology 6.8k
  • Endocrine and Autonomic Systems 408
  • Cell Biology 847
  • Computational Theory and Mathematics 539
Replace Larry S. Barak with:
Larry S. Barak United States
Sudha K. Shenoy United States
Seungkirl Ahn United States
Terence E. Hébert Canada
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Éric Reiter France
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Stéphane A. Laporte relative to Larry S. Barak United States Larry S. Barak's profile →
Citations per field
00.5×1.5×
Larry S. Barak · 1×
Citations per year

Countries citing papers authored by Stéphane A. Laporte

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane A. Laporte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stéphane A. Laporte. 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 A. Laporte. The network helps show where Stéphane A. Laporte may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202319
4 202310
5 202217
6 202232
7 202110
8 202012
9 201922
10 2018153
11 201841
12 201898
13 201641
14 201321
15 201224
16 201121
17 201077
18 200766
19 199718
20 199326

About Stéphane A. Laporte

Stéphane A. Laporte is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems, Cell Biology and Immunology and Allergy, having authored 102 papers that have together received 8.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (78 papers), Neuropeptides and Animal Physiology (41 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Cellular transport and secretion (11 papers), Renin-Angiotensin System Studies (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.0k citations), Molecular Biology (6.8k citations), Endocrine and Autonomic Systems (408 citations), Cell Biology (847 citations) and Computational Theory and Mathematics (539 citations). Stéphane A. Laporte has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Marc G. Caron, Larry S. Barak, Robert H. Oakley, Jason A. Holt, Stephen S. G. Ferguson, Jie Zhang, Hans H. Zingg, Robert J. Lefkowitz, William E. Miller and Michael E. Field. Their work appears in journals such as Journal of Biological Chemistry, Cellular Signalling, Nature Communications, Molecular Endocrinology and Science Signaling.

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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