Pierre Maisonneuve

717 total citations
17 papers, 357 citations indexed

About

Pierre Maisonneuve is a scholar working on Molecular Biology, Immunology and Computational Theory and Mathematics. According to data from OpenAlex, Pierre Maisonneuve has authored 17 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Pierre Maisonneuve's work include Protein Kinase Regulation and GTPase Signaling (7 papers), Melanoma and MAPK Pathways (6 papers) and Protein Tyrosine Phosphatases (5 papers). Pierre Maisonneuve is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (7 papers), Melanoma and MAPK Pathways (6 papers) and Protein Tyrosine Phosphatases (5 papers). Pierre Maisonneuve collaborates with scholars based in Canada, United States and France. Pierre Maisonneuve's co-authors include Frank Sicheri, Igor Kurinov, Hugo Lavoie, Malha Sahmi, Marc Therrien, Ting Jin, Neroshan Thevakumaran, Célia Caillet‐Saguy, Nicolas Wolff and Florence Cordier and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Pierre Maisonneuve

17 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Maisonneuve Canada 11 300 84 61 28 25 17 357
Jonah Beenstock Israel 9 357 1.2× 51 0.6× 57 0.9× 15 0.5× 23 0.9× 16 418
Michael Tong United States 8 199 0.7× 48 0.6× 74 1.2× 31 1.1× 10 0.4× 10 322
Alexander Hogrebe United States 6 584 1.9× 60 0.7× 49 0.8× 24 0.9× 9 0.4× 10 747
Nadav Askari Israel 9 304 1.0× 72 0.9× 47 0.8× 18 0.6× 42 1.7× 10 440
Élie Hadchity France 7 258 0.9× 48 0.6× 70 1.1× 15 0.5× 9 0.4× 9 342
Almass-Houd Aguissa-Touré France 6 272 0.9× 92 1.1× 22 0.4× 11 0.4× 21 0.8× 7 316
Craig McAndrew United Kingdom 13 403 1.3× 79 0.9× 103 1.7× 51 1.8× 9 0.4× 21 527
Andrea K. McCollum United States 7 376 1.3× 70 0.8× 54 0.9× 34 1.2× 9 0.4× 12 424
Marius S. Pop United States 6 205 0.7× 74 0.9× 46 0.8× 9 0.3× 8 0.3× 9 254
Paulo H. Godoi Brazil 14 298 1.0× 49 0.6× 39 0.6× 20 0.7× 12 0.5× 20 420

Countries citing papers authored by Pierre Maisonneuve

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Maisonneuve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Maisonneuve

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

All Works

17 of 17 papers shown
1.
Lavoie, Hugo, Ting Jin, Marion Décossas, et al.. (2025). BRAF oncogenic mutants evade autoinhibition through a common mechanism. Science. 388(6750). eadp2742–eadp2742. 2 indexed citations
2.
Maisonneuve, Pierre, Malha Sahmi, Martin Lefrançois, et al.. (2024). The CNK–HYP scaffolding complex promotes RAF activation by enhancing KSR–MEK interaction. Nature Structural & Molecular Biology. 31(7). 1028–1038. 2 indexed citations
3.
Maisonneuve, Pierre, et al.. (2023). The evolutionary divergence of receptor guanylyl cyclase C has implications for preclinical models for receptor-directed therapeutics. Journal of Biological Chemistry. 300(1). 105505–105505. 1 indexed citations
4.
Ignatov, Mikhail, Sergei Kotelnikov, Dmitri Beglov, et al.. (2023). High Accuracy Prediction of PROTAC Complex Structures. Journal of the American Chemical Society. 145(13). 7123–7135. 29 indexed citations
5.
Tavernier, Nicolas, Y. Thomas, Suzanne Vigneron, et al.. (2021). Bora phosphorylation substitutes in trans for T-loop phosphorylation in Aurora A to promote mitotic entry. Nature Communications. 12(1). 1899–1899. 34 indexed citations
6.
Spill, Yannick G., Yasaman Karami, Pierre Maisonneuve, Nicolas Wolff, & Michaël Nilges. (2021). Automatic Bayesian Weighting for SAXS Data. Frontiers in Molecular Biosciences. 8. 671011–671011. 3 indexed citations
7.
Wiechmann, Svenja, Pierre Maisonneuve, Britta M. Grebbin, et al.. (2020). Conformation-specific inhibitors of activated Ras GTPases reveal limited Ras dependency of patient-derived cancer organoids. Journal of Biological Chemistry. 295(14). 4526–4540. 12 indexed citations
8.
Beenstock, Jonah, Stephen Orlicky, Leo C. K. Wan, et al.. (2020). A substrate binding model for the KEOPS tRNA modifying complex. Nature Communications. 11(1). 6233–6233. 23 indexed citations
9.
Ceccarelli, Derek F., Étienne Coyaud, Pierre Maisonneuve, et al.. (2019). FAM105A/OTULINL Is a Pseudodeubiquitinase of the OTU-Class that Localizes to the ER Membrane. Structure. 27(6). 1000–1012.e6. 9 indexed citations
10.
Maisonneuve, Pierre, et al.. (2019). Rigidification Dramatically Improves Inhibitor Selectivity for RAF Kinases. ACS Medicinal Chemistry Letters. 10(7). 1074–1080. 14 indexed citations
11.
Lavoie, Hugo, Malha Sahmi, Pierre Maisonneuve, et al.. (2018). MEK drives BRAF activation through allosteric control of KSR proteins. Nature. 554(7693). 549–553. 99 indexed citations
12.
Maisonneuve, Pierre, Xu Liu, G. K. Surya Prakash, et al.. (2018). Effects of rigidity on the selectivity of protein kinase inhibitors. European Journal of Medicinal Chemistry. 146. 519–528. 11 indexed citations
13.
Caillet‐Saguy, Célia, Angelo Toto, Raphaël Guérois, et al.. (2017). Regulation of the Human Phosphatase PTPN4 by the inter-domain linker connecting the PDZ and the phosphatase domains. Scientific Reports. 7(1). 7875–7875. 10 indexed citations
14.
Wan, Leo C. K., Pierre Maisonneuve, Rachel K. Szilard, et al.. (2016). Proteomic analysis of the human KEOPS complex identifies C14ORF142 as a core subunit homologous to yeast Gon7. Nucleic Acids Research. 45(2). 805–817. 47 indexed citations
15.
Maisonneuve, Pierre, Célia Caillet‐Saguy, M.C. Vaney, et al.. (2016). Molecular Basis of the Interaction of the Human Protein Tyrosine Phosphatase Non-receptor Type 4 (PTPN4) with the Mitogen-activated Protein Kinase p38γ. Journal of Biological Chemistry. 291(32). 16699–16708. 21 indexed citations
16.
Caillet‐Saguy, Célia, Pierre Maisonneuve, Florent Delhommel, et al.. (2015). Strategies to interfere with PDZ-mediated interactions in neurons: What we can learn from the rabies virus. Progress in Biophysics and Molecular Biology. 119(1). 53–59. 21 indexed citations
17.
Maisonneuve, Pierre, Célia Caillet‐Saguy, Bertrand Raynal, et al.. (2014). Regulation of the catalytic activity of the human phosphatase PTPN4 by its PDZ domain. FEBS Journal. 281(21). 4852–4865. 19 indexed citations

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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