Mathieu Lachance
Impact in
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- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
- Neuroscience and Neural Engineering
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 3
- Nerve injury and regeneration 1
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- Ion channel regulation and function 2
- Receptor Mechanisms and Signaling 1
- Co-authors
- Elsa Rossignol (7 shared papers)Xiao Jiang (5 shared papers)Inge A. Meijer (1 shared paper)Philippe Major (1 shared paper)Fadi F. Hamdan (1 shared paper)Paola Diadori (1 shared paper)Patrick Cossette (1 shared paper)Lionel Carmant (1 shared paper)
- Journals
- Molecular Psychiatry (2 papers)Epilepsia (1 paper)BMC Neuroscience (1 paper)Human Molecular Genetics (1 paper)Journal of Computational Neuroscience (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Mathieu Lachance
9 papers receiving 344 citations
Peers
Comparison fields: 5 of 54
- Cellular and Molecular Neuroscience 156
- Psychiatry and Mental health 88
- Developmental Neuroscience 18
- Genetics 115
- Cognitive Neuroscience 65
Countries citing papers authored by Mathieu Lachance
This map shows the geographic impact of Mathieu Lachance'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 Mathieu Lachance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Lachance more than expected).
Fields of papers citing papers by Mathieu Lachance
This network shows the impact of papers produced by Mathieu Lachance. 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 Mathieu Lachance. The network helps show where Mathieu Lachance may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Lachance, 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 | 2014 | 145 | |
| 2 | 2016 | 78 | |
| 3 | 2019 | 64 | |
| 4 | 2018 | 24 | |
| 5 | 2021 | 17 | |
| 6 | 2014 | 15 | |
| 7 | 2014 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2018 | 3 |
About Mathieu Lachance
Mathieu Lachance is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Cognitive Neuroscience and Developmental Neuroscience, having authored 9 papers that have together received 353 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neuroscience and Neural Engineering (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Ion channel regulation and function (2 papers), Genomics and Rare Diseases (1 paper), Receptor Mechanisms and Signaling (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (156 citations), Psychiatry and Mental health (88 citations), Developmental Neuroscience (18 citations), Genetics (115 citations) and Cognitive Neuroscience (65 citations). Mathieu Lachance has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Elsa Rossignol, Xiao Jiang, Inge A. Meijer, Philippe Major, Fadi F. Hamdan, Paola Diadori, Patrick Cossette, Lionel Carmant, Jean‐Claude Lacaille and Guy A. Rouleau. Their work appears in journals such as Molecular Psychiatry, Epilepsia, BMC Neuroscience, Human Molecular Genetics and Journal of Computational Neuroscience.
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.