Mario Forget
Impact in
- Pharmacology top 2%
- Musculoskeletal pain and rehabilitation
- Cell Biology top 5%
- Myofascial pain diagnosis and treatment
Papers in ⓘ
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- Musculoskeletal pain and rehabilitation 6
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- Myofascial pain diagnosis and treatment 5
- Co-authors
- Nadine Graham (7 shared papers)Stephen J Burnie (5 shared papers)Anita Gross (7 shared papers)Charles H. Goldsmith (4 shared papers)Pasqualina Santaguida (5 shared papers)Jean-Philippe Paquin (3 shared papers)Jan L. Hoving (3 shared papers)Theresa Kay (3 shared papers)
- Journals
- Cochrane Database of Systematic Reviews (5 papers)Journal of Bodywork and Movement Therapies (1 paper)Physiotherapy (1 paper)Manual Therapy (1 paper)
- Partner nations
- CanadaNetherlandsUnited States
In The Last Decade
Mario Forget
8 papers receiving 650 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Pharmacology 520
- Cell Biology 229
- Medical Laboratory Technology 19
- Pathology and Forensic Medicine 197
- Anatomy 12
Countries citing papers authored by Mario Forget
This map shows the geographic impact of Mario Forget'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 Mario Forget with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Forget more than expected).
Fields of papers citing papers by Mario Forget
This network shows the impact of papers produced by Mario Forget. 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 Mario Forget. The network helps show where Mario Forget may publish in the future.
Co-authors
The 20 scholars most cited alongside Mario Forget, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Exercises for mechanical neck disorders Hit paper breakdown → | 2015 | 300 |
| 2 | 2016 | 143 | |
| 3 | 2013 | 121 | |
| 4 | 2012 | 86 | |
| 5 | 2016 | 9 | |
| 6 | 2015 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 |
About Mario Forget
Mario Forget is a scholar working on Pharmacology, Cell Biology, Complementary and alternative medicine, Pathology and Forensic Medicine and Neurology, having authored 8 papers that have together received 666 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (6 papers), Myofascial pain diagnosis and treatment (5 papers), Complementary and Alternative Medicine Studies (3 papers), Spine and Intervertebral Disc Pathology (2 papers), Medical Practices and Rehabilitation (2 papers), Parkinson's Disease and Spinal Disorders (1 paper), Bach Studies and Logistics Development (1 paper) and Botulinum Toxin and Related Neurological Disorders (1 paper). The work is most often cited by research in Pharmacology (520 citations), Cell Biology (229 citations), Medical Laboratory Technology (19 citations), Pathology and Forensic Medicine (197 citations) and Anatomy (12 citations). Mario Forget has collaborated with scholars based in Canada, Netherlands and United States. Frequent co-authors include Nadine Graham, Stephen J Burnie, Anita Gross, Charles H. Goldsmith, Pasqualina Santaguida, Jean-Philippe Paquin, Jan L. Hoving, Theresa Kay, P. Lalonde and Gert Brønfort. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Bodywork and Movement Therapies, Physiotherapy and Manual Therapy.
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.