Hélène Beaudry

1.2k total citations
27 papers, 926 citations indexed

About

Hélène Beaudry is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Hélène Beaudry has authored 27 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Hélène Beaudry's work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (10 papers) and Pain Mechanisms and Treatments (7 papers). Hélène Beaudry is often cited by papers focused on Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (10 papers) and Pain Mechanisms and Treatments (7 papers). Hélène Beaudry collaborates with scholars based in Canada, United States and Sweden. Hélène Beaudry's co-authors include Louis Gendron, Nicole Gallo‐Payet, Bianca Plouffe, Alfredo Ribeiro‐da‐Silva, I. Daou, Philippe Séguéla, Fred Nyberg, Anders Hallberg, Ariel R. Ase and Anders Karlén and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Pain.

In The Last Decade

Hélène Beaudry

25 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hélène Beaudry Canada 15 442 402 323 269 143 27 926
Douglas C. Eikenburg United States 13 628 1.4× 417 1.0× 268 0.8× 127 0.5× 199 1.4× 42 1.1k
Eva Lindgren Sweden 22 569 1.3× 373 0.9× 340 1.1× 134 0.5× 66 0.5× 39 1.3k
J. M. A. Sitsen Netherlands 17 605 1.4× 271 0.7× 227 0.7× 155 0.6× 37 0.3× 42 1.4k
Mona M. McConnaughey United States 14 542 1.2× 283 0.7× 160 0.5× 285 1.1× 90 0.6× 25 967
Terrell A. Patterson United States 18 638 1.4× 531 1.3× 129 0.4× 55 0.2× 47 0.3× 31 1.1k
N B Shepperson United Kingdom 18 559 1.3× 463 1.2× 284 0.9× 207 0.8× 72 0.5× 36 991
María Amelia Enero Argentina 14 505 1.1× 428 1.1× 218 0.7× 178 0.7× 132 0.9× 60 888
M T Piascik United States 13 712 1.6× 417 1.0× 299 0.9× 163 0.6× 73 0.5× 19 1.0k
Hong Nie United States 18 360 0.8× 519 1.3× 69 0.2× 86 0.3× 61 0.4× 42 1.2k
Hyung D. Chung United States 21 417 0.9× 418 1.0× 359 1.1× 72 0.3× 39 0.3× 33 1.3k

Countries citing papers authored by Hélène Beaudry

Since Specialization
Citations

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

Fields of papers citing papers by Hélène Beaudry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hélène Beaudry

This figure shows the co-authorship network connecting the top 25 collaborators of Hélène Beaudry. A scholar is included among the top collaborators of Hélène 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 Hélène Beaudry. Hélène Beaudry 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.
Lussier, Bertrand, Pierrette Gaudreau, Simon Authier, et al.. (2025). Comparative Pain Expression and Its Association to Intestinal Microbiota Through the MI-RAT© Osteoarthritis Model Induced in LOU/C/Jall and Sprague-Dawley Aged Rats. International Journal of Molecular Sciences. 26(16). 7698–7698.
2.
Décary, Simon, Kadija Perreault, Pascal Tétreault, et al.. (2024). Personalizing rehabilitation for individuals with musculoskeletal impairments: Feasibility of implementation of the Measures Associated to Prognostic (MAPS) tool. Physiotherapy Theory and Practice. 41(2). 420–431. 2 indexed citations
3.
Beaudry, Hélène, et al.. (2024). Assessment of the Physical Literacy Environment in Early Childhood Classrooms. Journal of Education and Learning. 13(4). 76–76. 1 indexed citations
4.
Tousignant‐Laflamme, Yannick, Kadija Perreault, Hélène Beaudry, et al.. (2023). Prognostic factors specific to work-related musculoskeletal disorders: An overview of recent systematic reviews. Musculoskeletal Science and Practice. 66. 102825–102825. 8 indexed citations
5.
Tousignant‐Laflamme, Yannick, Kadija Perreault, Pascal Tétreault, et al.. (2023). Establishing the prognostic profile of patients with work‐related musculoskeletal disorders: Development and acceptability of the MAPS questionnaire. Physiotherapy Research International. 29(1). e2053–e2053. 2 indexed citations
6.
Pagé, M. Gabrielle, et al.. (2022). Characteristics of Persons Seeking Care for Moderate to Severe Pain Due to Chronic Low Back Pain and Osteoarthritis: A Cross-Sectional Study. SHILAP Revista de lepidopterología. 3 indexed citations
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Beaudry, Hélène, I. Daou, Alfredo Ribeiro‐da‐Silva, & Philippe Séguéla. (2017). Will Optogenetics Be Used To Treat Chronic Pain Patients?. Pain Management. 7(4). 269–278. 5 indexed citations
10.
Daou, I., Hélène Beaudry, Ariel R. Ase, et al.. (2016). Optogenetic Silencing of Nav1.8-Positive Afferents Alleviates Inflammatory and Neuropathic Pain. eNeuro. 3(1). ENEURO.0140–15.2016. 90 indexed citations
11.
Beaudry, Hélène, I. Daou, Alfredo Ribeiro‐da‐Silva, & Philippe Séguéla. (2016). Optogénétique et douleur chronique : une stratégie applicable chez l’humain ?. Douleur et Analgésie. 29(4). 232–240. 1 indexed citations
12.
Cabañero, David, Shengtai Zhou, Gregory L. Hargett, et al.. (2013). Pain after Discontinuation of Morphine Treatment Is Associated with Synaptic Increase of GluA4-Containing AMPAR in the Dorsal Horn of the Spinal Cord. Neuropsychopharmacology. 38(8). 1472–1484. 19 indexed citations
13.
Beaudet, Nicolas, et al.. (2012). Increased anxiety-like behaviors in rats experiencing chronic inflammatory pain. Behavioural Brain Research. 229(1). 160–167. 107 indexed citations
14.
Beaudry, Hélène, et al.. (2011). Activation of Spinal μ- and δ-Opioid Receptors Potently Inhibits Substance P Release Induced by Peripheral Noxious Stimuli. Journal of Neuroscience. 31(37). 13068–13077. 60 indexed citations
15.
Roussy, Geneviève, Hélène Beaudry, Karine Belleville, et al.. (2010). Altered morphine-induced analgesia in neurotensin type 1 receptor null mice. Neuroscience. 170(4). 1286–1294. 11 indexed citations
16.
Beaudry, Hélène, et al.. (2009). Differential noxious and motor tolerance of chronic delta opioid receptor agonists in rodents. Neuroscience. 161(2). 381–391. 45 indexed citations
17.
Wallinder, Charlotta, Milad Botros, Ulrika Rosenström, et al.. (2008). Selective angiotensin II AT2 receptor agonists: Benzamide structure–activity relationships. Bioorganic & Medicinal Chemistry. 16(14). 6841–6849. 26 indexed citations
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Rosenström, Ulrika, Charlotta Wallinder, Hélène Beaudry, et al.. (2006). Short pseudopeptides containing turn scaffolds with high AT2 receptor affinity. Bioorganic & Medicinal Chemistry. 14(17). 5963–5972. 15 indexed citations
20.
Beaudry, Hélène, Louis Gendron, Marie‐Odile Guimond, Marcel D. Payet, & Nicole Gallo‐Payet. (2006). Involvement of Protein Kinase Cα (PKCα) in the Early Action of Angiotensin II Type 2 (AT2) Effects on Neurite Outgrowth in NG108–15 Cells: AT2-Receptor Inhibits PKCα and p21ras Activity. Endocrinology. 147(9). 4263–4272. 14 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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