Michel Cyr

3.4k total citations
50 papers, 2.7k citations indexed

About

Michel Cyr is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Michel Cyr has authored 50 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 23 papers in Molecular Biology and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Michel Cyr's work include Neuroscience and Neuropharmacology Research (23 papers), Neurotransmitter Receptor Influence on Behavior (12 papers) and Receptor Mechanisms and Signaling (10 papers). Michel Cyr is often cited by papers focused on Neuroscience and Neuropharmacology Research (23 papers), Neurotransmitter Receptor Influence on Behavior (12 papers) and Receptor Mechanisms and Signaling (10 papers). Michel Cyr collaborates with scholars based in Canada, United States and Russia. Michel Cyr's co-authors include Thérèse Di Paolo, Marc G. Caron, Raul R. Gainetdinov, Tatyana D. Sotnikova, Marc Morissette, Manon Lebel, Guy Massicotte, Gonzalo E. Torres, Aki Laakso and Jean‐Martin Beaulieu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Michel Cyr

50 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel Cyr Canada 27 1.5k 1.0k 478 467 443 50 2.7k
Jana Velı́šková United States 37 2.2k 1.5× 920 0.9× 449 0.9× 542 1.2× 207 0.5× 111 3.8k
Jeffrey H. Goodman United States 31 2.8k 1.9× 1.0k 1.0× 374 0.8× 281 0.6× 284 0.6× 50 4.3k
Jukka Puoliväli Finland 24 881 0.6× 765 0.8× 383 0.8× 277 0.6× 321 0.7× 51 2.3k
Lori L. McMahon United States 34 1.8k 1.2× 1.5k 1.5× 531 1.1× 173 0.4× 302 0.7× 80 3.4k
Sabine M. Hölter Germany 32 1.5k 1.0× 1.0k 1.0× 195 0.4× 252 0.5× 198 0.4× 79 3.0k
Ron S. Broide United States 25 1.2k 0.8× 2.3k 2.3× 359 0.8× 289 0.6× 367 0.8× 46 3.3k
Libor Velı́šek United States 29 1.7k 1.2× 700 0.7× 327 0.7× 271 0.6× 133 0.3× 113 2.8k
Nancy A. Muma United States 34 1.3k 0.9× 1.1k 1.1× 274 0.6× 580 1.2× 227 0.5× 96 3.2k
Claude Rouillard Canada 30 1.7k 1.1× 775 0.8× 145 0.3× 598 1.3× 101 0.2× 61 2.5k
Jasmina N. Jovanovic United Kingdom 22 2.0k 1.4× 1.5k 1.4× 341 0.7× 93 0.2× 246 0.6× 36 3.1k

Countries citing papers authored by Michel Cyr

Since Specialization
Citations

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

Fields of papers citing papers by Michel Cyr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Cyr

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Cyr. A scholar is included among the top collaborators of Michel Cyr 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 Michel Cyr. Michel Cyr 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.
2.
Beaulieu, Jean‐Martin, et al.. (2019). Motor learning deficits and striatal GSK-3 hyperactivity in Akt3 knockout mice.. Behavioral Neuroscience. 133(1). 135–143. 4 indexed citations
3.
Bureau, Geneviève, et al.. (2017). Genetic Deletion of Akt3 Induces an Endophenotype Reminiscent of Psychiatric Manifestations in Mice. Frontiers in Molecular Neuroscience. 10. 102–102. 26 indexed citations
4.
Bureau, Geneviève, et al.. (2014). Regulation of Tyrosine Phosphatase STEP61 by Protein Kinase A during Motor Skill Learning in Mice. PLoS ONE. 9(1). e86988–e86988. 14 indexed citations
5.
Masoud, Shababa T., Laura M. Vecchio, Muhammad M. Hossain, et al.. (2014). Increased expression of the dopamine transporter leads to loss of dopamine neurons, oxidative stress and l-DOPA reversible motor deficits. Neurobiology of Disease. 74. 66–75. 121 indexed citations
6.
Massicotte, Guy, et al.. (2014). mTOR signaling contributes to motor skill learning in mice. Frontiers in Molecular Neuroscience. 7. 26–26. 27 indexed citations
7.
Bureau, Geneviève, et al.. (2011). Partial dopamine depletion in MPTP-treated mice differentially altered motor skill learning and action control. Behavioural Brain Research. 228(1). 9–15. 24 indexed citations
8.
Berlanga, Monica L., D. L. Price, Masako Terada, et al.. (2011). Multiscale imaging characterization of dopamine transporter knockout mice reveals regional alterations in spine density of medium spiny neurons. Brain Research. 1390. 41–49. 24 indexed citations
9.
Lee, Jong‐Min, Jie Zhang, Andrew I. Su, et al.. (2010). A novel approach to investigate tissue-specific trinucleotide repeat instability. BMC Systems Biology. 4(1). 29–29. 84 indexed citations
10.
11.
Martins-Silva, Cristina, Michel Cyr, Sébastien Marion, et al.. (2006). A rat homologue of CED-6 is expressed in neurons and interacts with clathrin. Brain Research. 1119(1). 1–12. 13 indexed citations
12.
Costa, Rui M., Shih‐Chieh Lin, Tatyana D. Sotnikova, et al.. (2006). Rapid Alterations in Corticostriatal Ensemble Coordination during Acute Dopamine-Dependent Motor Dysfunction. Neuron. 52(2). 359–369. 229 indexed citations
13.
Cyr, Michel, Marc G. Caron, G. Allan Johnson, & Aki Laakso. (2005). Magnetic resonance imaging at microscopic resolution reveals subtle morphological changes in a mouse model of dopaminergic hyperfunction. NeuroImage. 26(1). 83–90. 46 indexed citations
14.
Yao, Wei‐Dong, Raul R. Gainetdinov, Margaret I. Arbuckle, et al.. (2004). Identification of PSD-95 as a Regulator of Dopamine-Mediated Synaptic and Behavioral Plasticity. Neuron. 41(4). 625–638. 303 indexed citations
15.
Vaillancourt, Cathy, Michel Cyr, Joseph Rochford, Patricia Boksa, & Thérèse Di Paolo. (2002). Effects of ovariectomy and estradiol on acoustic startle responses in rats. Pharmacology Biochemistry and Behavior. 74(1). 103–109. 20 indexed citations
16.
Cyr, Michel, Marc Morissette, Michelle Landry, & Thérèse Di Paolo. (2001). Estrogenic activity of tamoxifen and raloxifene on rat brain AMPA receptors. Neuroreport. 12(3). 535–539. 25 indexed citations
17.
Cyr, Michel. (2001). Estrogen-like Activity of Tamoxifen and Raloxifene on NMDA Receptor Binding and Expression of its Subunits in Rat Brain. Neuropsychopharmacology. 25(2). 242–257. 66 indexed citations
18.
Cyr, Michel, et al.. (2001). Ovarian steroids and selective estrogen receptor modulators activity on rat brain NMDA and AMPA receptors. Brain Research Reviews. 37(1-3). 153–161. 144 indexed citations
19.
Cyr, Michel, et al.. (2000). Drugs with Estrogen-like Potency and Brain Activity Potential Therapeutic Application for the CNS. Current Pharmaceutical Design. 6(12). 1287–1312. 85 indexed citations
20.
Cyr, Michel. (2000). Modulation by Estrogen-Receptor Directed Drugs of 5-Hydroxytryptamine-2A Receptors in Rat Brain. Neuropsychopharmacology. 23(1). 69–78. 96 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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