M. Perron
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in ⓘ
-
- Genetic Neurodegenerative Diseases 3
- Co-authors
- S. Veillette (11 shared papers)Louis Richer (10 shared papers)Zdenka Pausová (8 shared papers)G. Bruce Pike (5 shared papers)Gabriel Leonard (7 shared papers)Tomáš Paus (7 shared papers)Alain Pitiot (3 shared papers)T. Paus (1 shared paper)
- Journals
- NeuroImage (3 papers)Cerebral Cortex (1 paper)Public Health Genomics (1 paper)Molecular Psychiatry (1 paper)Hormones and Behavior (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
M. Perron
10 papers receiving 649 citations
Peers
Comparison fields: 5 of 90
- Behavioral Neuroscience 51
- Cognitive Neuroscience 236
- Computational Mathematics 6
- Cellular and Molecular Neuroscience 140
- Radiology, Nuclear Medicine and Imaging 167
Countries citing papers authored by M. Perron
This map shows the geographic impact of M. Perron'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 M. Perron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Perron more than expected).
Fields of papers citing papers by M. Perron
This network shows the impact of papers produced by M. Perron. 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 M. Perron. The network helps show where M. Perron may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Perron, 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 | 2008 | 173 | |
| 2 | 2009 | 148 | |
| 3 | 2009 | 107 | |
| 4 | 2007 | 47 | |
| 5 | 2013 | 46 | |
| 6 | 2008 | 43 | |
| 7 | 2008 | 41 | |
| 8 | 2006 | 40 | |
| 9 | 2010 | 10 | |
| 10 | 2009 | 4 | |
| 11 | 2015 | 0 |
About M. Perron
M. Perron is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 11 papers that have together received 659 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (3 papers), Genetic Neurodegenerative Diseases (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Functional Brain Connectivity Studies (2 papers), Adipose Tissue and Metabolism (1 paper), Health, Environment, Cognitive Aging (1 paper), Prenatal Substance Exposure Effects (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Behavioral Neuroscience (51 citations), Cognitive Neuroscience (236 citations), Computational Mathematics (6 citations), Cellular and Molecular Neuroscience (140 citations) and Radiology, Nuclear Medicine and Imaging (167 citations). M. Perron has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include S. Veillette, Louis Richer, Zdenka Pausová, G. Bruce Pike, Gabriel Leonard, Tomáš Paus, Alain Pitiot, T. Paus, Roberto Toro and Jennifer S. Perrin. Their work appears in journals such as NeuroImage, Cerebral Cortex, Public Health Genomics, Molecular Psychiatry and Hormones and Behavior.
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.