Marc‐André Bédard
- Cognitive Neuroscience top 1%
- Neurology top 1%
- Physiology top 2%
- Experimental and Cognitive Psychology top 2%
- Epidemiology top 5%
- Co-authors
- Jacques MontplaisirIsabelle RouleauFrançois RicherJ. MaloÉmmanuel StipMichel PanissetDominique PetitSylvie Rompré
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Parkinson's Disease Mechanisms and Treatments (14 papers)Neurological disorders and treatments (10 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Marc‐André Bédard
55 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cognitive Neuroscience 1.6k
- Neurology 1.0k
- Physiology 853
- Experimental and Cognitive Psychology 598
- Epidemiology 553
Countries citing papers authored by Marc‐André Bédard
This map shows the geographic impact of Marc‐André Bédard'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 Marc‐André Bédard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc‐André Bédard more than expected).
Fields of papers citing papers by Marc‐André Bédard
This network shows the impact of papers produced by Marc‐André Bédard. 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 Marc‐André Bédard. The network helps show where Marc‐André Bédard may publish in the future.
Co-authorship network of co-authors of Marc‐André Bédard
This figure shows the co-authorship network connecting the top 25 collaborators of Marc‐André Bédard. A scholar is included among the top collaborators of Marc‐André Bédard 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 Marc‐André Bédard. Marc‐André Bédard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Cholinergic system changes in Parkinson's disease: emerging therapeutic approachesbreakdown → | 145 |
| 3 | 20 | |
| 4 | 64 | |
| 5 | 127 | |
| 6 | 1 | |
| 7 | 30 | |
| 8 | 35 | |
| 9 | 19 | |
| 10 | 13 | |
| 11 | 76 | |
| 12 | 21 | |
| 13 | 27 | |
| 14 | 126 | |
| 15 | 79 | |
| 16 | 34 | |
| 17 | 15 | |
| 18 | 7 | |
| 19 | 118 | |
| 20 | 67 |
About Marc‐André Bédard
Marc‐André Bédard is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Neurology, having authored 56 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Parkinson's Disease Mechanisms and Treatments (14 papers) and Neurological disorders and treatments (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Endocrine and Autonomic Systems (518 citations) and Neurology (1.0k citations). Marc‐André Bédard has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jacques Montplaisir, Isabelle Rouleau, François Richer, J. Malo, Émmanuel Stip, Michel Panisset, Dominique Petit, Sylvie Rompré, Julie Carrier and Maria Livia Fantini. Their work appears in journals such as NeuroImage, Neurology and The Lancet Neurology.
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.