Johanne Martel‐Pelletier
About
Johanne Martel‐Pelletier is a scholar working on Rheumatology, Pharmacology and Surgery.
According to data from OpenAlex, Johanne Martel‐Pelletier has authored 440 papers receiving a total of 27.2k indexed citations (citations by other indexed papers that have themselves been cited), including 340 papers in Rheumatology, 159 papers in Pharmacology and 99 papers in Surgery. Recurrent topics in Johanne Martel‐Pelletier's work include Osteoarthritis Treatment and Mechanisms (329 papers), Inflammatory mediators and NSAID effects (154 papers) and Knee injuries and reconstruction techniques (57 papers). Johanne Martel‐Pelletier is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (329 papers), Inflammatory mediators and NSAID effects (154 papers) and Knee injuries and reconstruction techniques (57 papers). Johanne Martel‐Pelletier collaborates with scholars based in Canada, United States and Australia. Johanne Martel‐Pelletier's co-authors include Jean‐Pierre Pelletier, Hassan Fahmi, Daniel Lajeunesse, Mohit Kapoor, François Mineau, Dragan Jovanović, John A. Di Battista, Ginette Tardif, F. Abram and J.-P. Pelletier and has published in prestigious journals such as JAMA, Journal of Biological Chemistry and Journal of Clinical Investigation.
In The Last Decade
Johanne Martel‐Pelletier
428 papers receiving 26.4k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Johanne Martel‐Pelletier Canada | 83 | 17.6k | 7.3k | 6.2k | 5.6k | 3.9k | 440 | 27.2k | ||
| Jean‐Pierre Pelletier Canada | 75 | 14.2k 0.8× | 5.7k 0.8× | 5.4k 0.9× | 4.2k 0.8× | 3.2k 0.8× | 338 | 22.3k | ||
| Mary B. Goldring United States | 73 | 14.5k 0.8× | 4.6k 0.6× | 8.0k 1.3× | 3.6k 0.6× | 4.3k 1.1× | 226 | 23.3k | ||
| Richard F. Loeser United States | 73 | 13.7k 0.8× | 4.4k 0.6× | 5.4k 0.9× | 4.6k 0.8× | 2.7k 0.7× | 263 | 21.8k | ||
| Francis Bérenbaum France | 68 | 13.0k 0.7× | 5.1k 0.7× | 4.2k 0.7× | 4.5k 0.8× | 1.7k 0.4× | 417 | 20.6k | ||
| Virginia B. Kraus United States | 80 | 13.7k 0.8× | 4.3k 0.6× | 4.6k 0.7× | 6.7k 1.2× | 1.5k 0.4× | 460 | 23.8k | ||
| Steven R. Goldring United States | 66 | 9.9k 0.6× | 2.5k 0.3× | 7.6k 1.2× | 4.7k 0.8× | 2.2k 0.5× | 192 | 19.9k | ||
| Wim B. van den Berg Netherlands | 99 | 16.3k 0.9× | 3.9k 0.5× | 10.8k 1.7× | 3.7k 0.7× | 3.4k 0.9× | 451 | 32.9k | ||
| M.A. Karsdal Denmark | 78 | 7.3k 0.4× | 2.8k 0.4× | 7.8k 1.3× | 3.8k 0.7× | 2.9k 0.7× | 860 | 25.4k | ||
| Ali Mobasheri United Kingdom | 73 | 8.5k 0.5× | 3.4k 0.5× | 7.1k 1.1× | 3.0k 0.5× | 2.2k 0.6× | 394 | 19.5k | ||
| Francisco J. Blanco Spain | 69 | 9.1k 0.5× | 2.8k 0.4× | 5.3k 0.8× | 2.7k 0.5× | 2.2k 0.6× | 612 | 18.7k |
Countries citing papers authored by Johanne Martel‐Pelletier
Since
Specialization
Citations
This map shows the geographic impact of Johanne Martel‐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 Johanne Martel‐Pelletier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johanne Martel‐Pelletier more than expected).
Fields of papers citing papers by Johanne Martel‐Pelletier
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Johanne Martel‐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 Johanne Martel‐Pelletier. The network helps show where Johanne Martel‐Pelletier may publish in the future.
Co-authorship network of co-authors of Johanne Martel‐Pelletier
This figure shows the co-authorship network connecting the top 25 collaborators of Johanne Martel‐Pelletier. A scholar is included among the top collaborators of Johanne Martel‐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 Johanne Martel‐Pelletier. Johanne Martel‐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.
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.
6.
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.
7.
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.
8.
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.
9.
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.
10.
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.
11.
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.
12.
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.
13.
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.
14.
Hochberg, M.C., Johanne Martel‐Pelletier, Jordi Monfort, et al.. (2014). MULTICENTRIC OSTEOARTHRITIS INTERVENTION STUDY WITH SYSADOA (MOVES): EFFECTS OF COMBINED GLUCOSAMINE HYDROCHLORIDE AND CHONDROITIN SULFATE VS CELECOXIB FOR PAINFUL KNEE OSTEOARTHRITIS. Basic & Clinical Pharmacology & Toxicology. 115. 12–12.
15.
Pan, Feng, Changhai Ding, Tania Winzenberg, et al.. (2014). The offspring of people with a total knee replacement for severe primary knee osteoarthritis have a higher risk of worsening knee pain over 8 years. Annals of the Rheumatic Diseases. 75(2). 368–373.
16.
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.
17.
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.
18.
Ding, Chengyi, Johanne Martel‐Pelletier, J.-P. Pelletier, et al.. (2006). P272 OSTEOARTHRITIS RISK FACTORS: A CROSS-SECTIONAL STUDY OF ASSOCIATIONS BETWEEN MENISCAL TEAR AND KNEE STRUCTURE, RADIOGRAPHIC CHANGES AND SYMPTOMS IN AN UNDIAGNOSED OA COHORT. Osteoarthritis and Cartilage. 14. S147–S147.
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.
Pelletier, J.-P. & Johanne Martel‐Pelletier. (1994). Rôle de l'inflammation synoviale, des cytokines et de l'IGF-1 dans la physiopathologie de l'arthrose. Revue du Rhumatisme. 61.
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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