Jean‐Pierre Pelletier
About
Jean‐Pierre Pelletier is a scholar working on Rheumatology, Pharmacology and Surgery.
According to data from OpenAlex, Jean‐Pierre Pelletier has authored 338 papers receiving a total of 22.3k indexed citations (citations by other indexed papers that have themselves been cited), including 239 papers in Rheumatology, 99 papers in Pharmacology and 79 papers in Surgery. Recurrent topics in Jean‐Pierre Pelletier's work include Osteoarthritis Treatment and Mechanisms (231 papers), Inflammatory mediators and NSAID effects (96 papers) and Knee injuries and reconstruction techniques (46 papers). Jean‐Pierre Pelletier is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (231 papers), Inflammatory mediators and NSAID effects (96 papers) and Knee injuries and reconstruction techniques (46 papers). Jean‐Pierre Pelletier collaborates with scholars based in Canada, United States and France. Jean‐Pierre Pelletier's co-authors include Johanne Martel‐Pelletier, Hassan Fahmi, Daniel Lajeunesse, Mohit Kapoor, François Mineau, John A. Di Battista, Dragan Jovanović, Ginette Tardif, Steven B. Abramson and F. Abram and has published in prestigious journals such as JAMA, Journal of Biological Chemistry and Journal of Clinical Investigation.
In The Last Decade
Jean‐Pierre Pelletier
328 papers receiving 21.7k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Jean‐Pierre Pelletier Canada | 75 | 14.2k | 5.7k | 5.4k | 4.2k | 3.2k | 338 | 22.3k | ||
| Johanne Martel‐Pelletier Canada | 83 | 17.6k 1.2× | 7.3k 1.3× | 6.2k 1.2× | 5.6k 1.3× | 3.9k 1.2× | 440 | 27.2k | ||
| Mary B. Goldring United States | 73 | 14.5k 1.0× | 4.6k 0.8× | 8.0k 1.5× | 3.6k 0.9× | 4.3k 1.4× | 226 | 23.3k | ||
| Richard F. Loeser United States | 73 | 13.7k 1.0× | 4.4k 0.8× | 5.4k 1.0× | 4.6k 1.1× | 2.7k 0.9× | 263 | 21.8k | ||
| Francis Bérenbaum France | 68 | 13.0k 0.9× | 5.1k 0.9× | 4.2k 0.8× | 4.5k 1.1× | 1.7k 0.5× | 417 | 20.6k | ||
| Steven R. Goldring United States | 66 | 9.9k 0.7× | 2.5k 0.4× | 7.6k 1.4× | 4.7k 1.1× | 2.2k 0.7× | 192 | 19.9k | ||
| M.A. Karsdal Denmark | 78 | 7.3k 0.5× | 2.8k 0.5× | 7.8k 1.5× | 3.8k 0.9× | 2.9k 0.9× | 860 | 25.4k | ||
| Ali Mobasheri United Kingdom | 73 | 8.5k 0.6× | 3.4k 0.6× | 7.1k 1.3× | 3.0k 0.7× | 2.2k 0.7× | 394 | 19.5k | ||
| Francisco J. Blanco Spain | 69 | 9.1k 0.6× | 2.8k 0.5× | 5.3k 1.0× | 2.7k 0.6× | 2.2k 0.7× | 612 | 18.7k | ||
| Wim B. van den Berg Netherlands | 99 | 16.3k 1.2× | 3.9k 0.7× | 10.8k 2.0× | 3.7k 0.9× | 3.4k 1.1× | 451 | 32.9k | ||
| Di Chen United States | 76 | 6.3k 0.4× | 2.2k 0.4× | 11.0k 2.0× | 2.2k 0.5× | 3.0k 0.9× | 314 | 21.3k |
Countries citing papers authored by Jean‐Pierre Pelletier
Since
Specialization
Citations
This map shows the geographic impact of Jean‐Pierre Pelletier'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 Jean‐Pierre Pelletier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pierre Pelletier more than expected).
Fields of papers citing papers by Jean‐Pierre Pelletier
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Jean‐Pierre Pelletier. 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 Jean‐Pierre Pelletier. The network helps show where Jean‐Pierre Pelletier may publish in the future.
Co-authorship network of co-authors of Jean‐Pierre Pelletier
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Pelletier. A scholar is included among the top collaborators of Jean‐Pierre Pelletier 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 Jean‐Pierre Pelletier. Jean‐Pierre Pelletier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Martel‐Pelletier, Johanne & Jean‐Pierre Pelletier. (2025). Next-Level Prediction of Structural Progression in Knee Osteoarthritis: A Perspective. International Journal of Molecular Sciences. 26(10). 4748–4748.
2.
Castel, Aude, Guillaume Dumas, Mathieu Lachance, et al.. (2024). Non-invasive electroencephalography in awake cats: Feasibility and application to sensory processing in chronic pain. Journal of Neuroscience Methods. 411. 110254–110254.
3.
Moreau, Maxim, Vincent Biourge, Bertrand Lussier, et al.. (2024). Efficacy and Safety of a Diet Enriched with EPA and DHA, Turmeric Extract and Hydrolysed Collagen in Management of Naturally Occurring Osteoarthritis in Cats: A Prospective, Randomised, Blinded, Placebo- and Time-Controlled Study. Animals. 14(22). 3298–3298.
4.
Leung, Vivian SY, Maxim Moreau, Marlene Drag, et al.. (2024). Concurrent Validation of MI-CAT(V), a Clinical Metrology Instrument for Veterinarians Assessing Osteoarthritis Pain in Cats, through Testing for Firocoxib Analgesic Efficacy in a Prospective, Randomized, Controlled, and Blinded Study. Animals. 14(5). 711–711.
5.
Pelletier, Jean‐Pierre, et al.. (2023). Risk factors for the long-term incidence and progression of knee osteoarthritis in older adults: role of nonsurgical injury. Therapeutic Advances in Chronic Disease. 14. 384218291–384218291.
6.
Martel‐Pelletier, Johanne, Patrice Paiement, & Jean‐Pierre Pelletier. (2023). Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis diagnosis and prognosis. Therapeutic Advances in Musculoskeletal Disease. 15. 1759720X231165560–1759720X231165560.
7.
Guillot, Martin, Jean‐Pierre Pelletier, Johanne Martel‐Pelletier, et al.. (2023). Face and Predictive Validity of MI-RAT (Montreal Induction of Rat Arthritis Testing), a Surgical Model of Osteoarthritis Pain in Rodents Combined with Calibrated Exercise. International Journal of Molecular Sciences. 24(22). 16341–16341.
8.
Tardif, Ginette, Frédéric Paré, Clarisse Gotti, et al.. (2022). Mass spectrometry-based proteomics identify novel serum osteoarthritis biomarkers. Arthritis Research & Therapy. 24(1). 120–120.
9.
Bonakdari, Hossein, Jean‐Pierre Pelletier, Francisco J. Blanco, et al.. (2022). Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers. BMC Medicine. 20(1). 316–316.
10.
Pelletier, Jean‐Pierre, Marc Dorais, Patrice Paiement, Jean‐Pierre Raynauld, & Johanne Martel‐Pelletier. (2022). Risk factors associated with the occurrence of total knee arthroplasty in patients with knee osteoarthritis: a nested case–control study. Therapeutic Advances in Musculoskeletal Disease. 14. 1759720X221091359–1759720X221091359.
11.
Bonakdari, Hossein, Afshin Jamshidi, Jean‐Pierre Pelletier, et al.. (2021). A warning machine learning algorithm for early knee osteoarthritis structural progressor patient screening. Therapeutic Advances in Musculoskeletal Disease. 13. 1759720X21993254–1759720X21993254.
12.
Wang, Yuanyuan, Tao Meng, Guangfeng Ruan, et al.. (2021). Associations of blood pressure and arterial stiffness with knee cartilage volume in patients with knee osteoarthritis. Lara D. Veeken. 60(10). 4748–4754.
13.
Gold, Garry E., Flavia Cicuttini, M.D. Crema, et al.. (2015). OARSI Clinical Trials Recommendations: Hip imaging in clinical trials in osteoarthritis. Osteoarthritis and Cartilage. 23(5). 716–731.
14.
Guillot, Martin, Gabriel Chartrand, Jacques Rousseau, et al.. (2015). [18F]-fluorodeoxyglucose positron emission tomography of the cat brain: A feasibility study to investigate osteoarthritis-associated pain. The Veterinary Journal. 204(3). 299–303.
15.
Hunter, David J., Nigel Arden, Flavia Cicuttini, et al.. (2015). OARSI Clinical Trials Recommendations: Hand imaging in clinical trials in osteoarthritis. Osteoarthritis and Cartilage. 23(5). 732–746.
16.
Rialland, Pascale, Maxim Moreau, Jean‐Pierre Pelletier, et al.. (2014). Association between sensitisation and pain-related behaviours in an experimental canine model of osteoarthritis. Pain. 155(10). 2071–2079.
17.
Tardif, Ginette, Jean‐Pierre Pelletier, Hassan Fahmi, et al.. (2013). NFAT3 and TGF-β/SMAD3 regulate the expression of miR-140 in osteoarthritis. Arthritis Research & Therapy. 15(6). R197–R197.
18.
Pelletier, Jean‐Pierre, Éric Troncy, Dominique Thibaud, et al.. (2010). Treatment with Tiludronic Acid Helps Reduce the Development of Experimental Osteoarthritis Lesions in Dogs with Anterior Cruciate Ligament Transection Followed by Reconstructive Surgery: A 1-Year Study with Quantitative Magnetic Resonance Imaging. The Journal of Rheumatology. 38(1). 118–128.
19.
Reboul, Pascal, Jean‐Pierre Pelletier, Ginette Tardif, et al.. (2001). Hepatocyte growth factor induction of collagenase 3 production in human osteoarthritic cartilage: Involvement of the stress-activated protein kinase/c-Jun N-terminal kinase pathway and a sensitive p38 mitogen-activated protein kinase inhibitor cascade. Arthritis & Rheumatism. 44(1). 73–84.
20.
Tardif, Ginette, Pascal Reboul, Jean‐Pierre Pelletier, et al.. (1996). Normal expression of type 1 insulin‐like growth factor receptor by human osteoarthritic chondrocytes with increased expression and synthesis of insulin‐like growth factor binding proteins. Arthritis & Rheumatism. 39(6). 968–978.
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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