Simon Chamberland
Impact in
-
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 16
- Photoreceptor and optogenetics research 7
- Neuroscience and Neural Engineering 4
-
- Neural dynamics and brain function 8
- Memory and Neural Mechanisms 7
- Co-authors
- Lisa TopolnikKatalin TóthAlesya EvstratovaRuggiero FrancavillaVincent VilletteMariya ChavarhaStephen W. EvansFrançois St-Pierre
- Journals
- Journal of Neuroscience (3 papers)The Journal of Physiology (3 papers)Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Calcium (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Simon Chamberland
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 785
- Cognitive Neuroscience 512
- Biophysics 114
- Neurology 136
- Endocrine and Autonomic Systems 38
Countries citing papers authored by Simon Chamberland
This map shows the geographic impact of Simon Chamberland'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 Simon Chamberland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Chamberland more than expected).
Fields of papers citing papers by Simon Chamberland
This network shows the impact of papers produced by Simon Chamberland. 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 Simon Chamberland. The network helps show where Simon Chamberland may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Chamberland, 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 | 2024 | 18 | |
| 2 | 2023 | 8 | |
| 3 | 2020 | 25 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 220 | |
| 6 | 2018 | 24 | |
| 7 | 2018 | 9 | |
| 8 | 2018 | 57 | |
| 9 | 2018 | 24 | |
| 10 | 2017 | 15 | |
| 11 | 2017 | 17 | |
| 12 | 2015 | 38 | |
| 13 | 2014 | 34 | |
| 14 | 2014 | 99 | |
| 15 | 2012 | 100 | |
| 16 | 2011 | 25 | |
| 17 | 2011 | 27 | |
| 18 | 2010 | 56 | |
| 19 | 2010 | 15 | |
| 20 | 2009 | 42 |
About Simon Chamberland
Simon Chamberland is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Endocrine and Autonomic Systems and Pharmacy, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (8 papers), Photoreceptor and optogenetics research (7 papers), Memory and Neural Mechanisms (7 papers), Neuroscience and Neural Engineering (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience of respiration and sleep (3 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (785 citations), Cognitive Neuroscience (512 citations), Biophysics (114 citations), Neurology (136 citations) and Endocrine and Autonomic Systems (38 citations). Simon Chamberland has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Lisa Topolnik, Katalin Tóth, Alesya Evstratova, Ruggiero Francavilla, Vincent Villette, Mariya Chavarha, Stephen W. Evans, François St-Pierre, Michael Z. Lin and Olivier Camiré. Their work appears in journals such as Journal of Neuroscience, The Journal of Physiology, Nature Communications, Proceedings of the National Academy of Sciences and Cell Calcium.
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.