Geneviève Beaudry

525 total citations
9 papers, 439 citations indexed

About

Geneviève Beaudry is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Geneviève Beaudry has authored 9 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Geneviève Beaudry's work include Nuclear Receptors and Signaling (4 papers), Apelin-related biomedical research (3 papers) and Retinoids in leukemia and cellular processes (2 papers). Geneviève Beaudry is often cited by papers focused on Nuclear Receptors and Signaling (4 papers), Apelin-related biomedical research (3 papers) and Retinoids in leukemia and cellular processes (2 papers). Geneviève Beaudry collaborates with scholars based in Canada and United States. Geneviève Beaudry's co-authors include Daniel Lévesque, Claude Rouillard, Bernard Têtu, Hakima Zekki, Hélène Lapointe, Chang Shu Wang, Jacques Brisson, Caty Blanchette, Dominique Trudel and Ion Popa and has published in prestigious journals such as Neuroscience, Journal of Neurochemistry and Neuropsychopharmacology.

In The Last Decade

Geneviève Beaudry

9 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geneviève Beaudry Canada 8 217 192 91 87 50 9 439
Valerie Boss United States 10 192 0.9× 298 1.6× 32 0.4× 33 0.4× 63 1.3× 13 442
W. Brysch Germany 11 185 0.9× 285 1.5× 24 0.3× 124 1.4× 59 1.2× 14 570
Carolina Perez Castro Argentina 12 55 0.3× 134 0.7× 51 0.6× 99 1.1× 105 2.1× 12 442
Volodia D. Gueorguiev United States 8 78 0.4× 218 1.1× 37 0.4× 35 0.4× 28 0.6× 11 347
Larry D. Recht United States 10 65 0.3× 203 1.1× 43 0.5× 64 0.7× 34 0.7× 13 574
Lihong Shi United States 13 199 0.9× 223 1.2× 129 1.4× 50 0.6× 51 1.0× 27 664
D. Jukic Canada 13 248 1.1× 261 1.4× 21 0.2× 53 0.6× 53 1.1× 25 501
Angela Kolodziej Germany 10 176 0.8× 146 0.8× 21 0.2× 198 2.3× 119 2.4× 14 527
Olga V. Perestenko United Kingdom 4 144 0.7× 282 1.5× 49 0.5× 46 0.5× 11 0.2× 4 414
Zhu Qs United States 6 123 0.6× 242 1.3× 50 0.5× 54 0.6× 23 0.5× 10 452

Countries citing papers authored by Geneviève Beaudry

Since Specialization
Citations

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

Fields of papers citing papers by Geneviève Beaudry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geneviève Beaudry

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

All Works

9 of 9 papers shown
1.
Beaudry, Geneviève, et al.. (2010). Ambient Temperature Storage of RNA in GenTegra™ for Use in RT-qPCR. BioTechniques. 48(4). 328–329. 5 indexed citations
2.
Popa, Ion, et al.. (2007). Identification of PCA3 (DD3) in prostatic carcinoma by in situ hybridization. Modern Pathology. 20(11). 1121–1127. 50 indexed citations
3.
Têtu, Bernard, Jacques Brisson, Chang Shu Wang, et al.. (2006). The influence of MMP-14, TIMP-2 and MMP-2 expression on breast cancer prognosis. Breast Cancer Research. 8(3). R28–R28. 109 indexed citations
4.
Éthier, Isabelle, Geneviève Beaudry, Michel St‐Hilaire, et al.. (2003). The Transcription Factor NGFI-B (Nur77) and Retinoids Play a Critical Role in Acute Neuroleptic-Induced Extrapyramidal Effect and Striatal Neuropeptide Gene Expression. Neuropsychopharmacology. 29(2). 335–346. 41 indexed citations
5.
Beaudry, Geneviève, Hakima Zekki, Claude Rouillard, & Daniel Lévesque. (2003). Clozapine and dopamine D3 receptor antisense reduce cocaine‐ and amphetamine‐regulated transcript expression in the rat nucleus accumbens shell. Synapse. 51(4). 233–240. 38 indexed citations
6.
Bhardwaj, Sanjeev K., Geneviève Beaudry, Rémi Quirion, Daniel Lévesque, & Lalit K. Srivastava. (2003). Neonatal ventral hippocampus lesion leads to reductions in nerve growth factor inducible-B mRNA in the prefrontal cortex and increased amphetamine response in the nucleus accumbens and dorsal striatum. Neuroscience. 122(3). 669–676. 36 indexed citations
7.
Beaudry, Geneviève, et al.. (2001). Impact of antipsychotic drug administration on the expression of nuclear receptors in the neocortex and striatum of the rat brain. Neuroscience. 106(1). 117–128. 51 indexed citations
9.
Beaudry, Geneviève, et al.. (1998). Structural Requirements and Mechanism of the Pressor Activity of Leu-Val-Val-hemorphin-7, a Fragment of Hemoglobin β-chain in Rats. Peptides. 19(1). 119–131. 36 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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