Robin Tremblay
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Neural dynamics and brain function 7
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- Neuroscience and Neuropharmacology Research 5
- Photoreceptor and optogenetics research 3
- Neuroscience and Neural Engineering 2
- Co-authors
- Bernardo Rudy (7 shared papers)Soo‐Hyun Lee (1 shared paper)Hyo-Young Jeong (2 shared papers)William Muñoz (3 shared papers)Han Xu (1 shared paper)Daniel Levenstein (1 shared paper)Yoshiko Hashikawa (1 shared paper)Koichi Hashikawa (1 shared paper)
- Journals
- Neuron (3 papers)Cell Reports (1 paper)Nature Neuroscience (1 paper)Science (1 paper)Cerebral Cortex (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Robin Tremblay
10 papers receiving 2.3k citations
Robin Tremblay's Hit Papers
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 1.5k
- Cognitive Neuroscience 1.3k
- Developmental Neuroscience 164
- Behavioral Neuroscience 109
- Neurology 205
Countries citing papers authored by Robin Tremblay
This map shows the geographic impact of Robin Tremblay'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 Robin Tremblay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Tremblay more than expected).
Fields of papers citing papers by Robin Tremblay
This network shows the impact of papers produced by Robin Tremblay. 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 Robin Tremblay. The network helps show where Robin Tremblay may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Tremblay, 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 | GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits Hit paper breakdown → | 2016 | 1315 |
| 2 | 2013 | 271 | |
| 3 | 2017 | 210 | |
| 4 | 2017 | 193 | |
| 5 | 2010 | 94 | |
| 6 | 2020 | 54 | |
| 7 | 2007 | 52 | |
| 8 | 2008 | 48 | |
| 9 | 2014 | 46 | |
| 10 | 2020 | 22 |
About Robin Tremblay
Robin Tremblay is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology and Endocrine and Autonomic Systems, having authored 10 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Photoreceptor and optogenetics research (3 papers), Neuroscience and Neural Engineering (2 papers), Circadian rhythm and melatonin (1 paper), Ion channel regulation and function (1 paper), Multisensory perception and integration (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (1.3k citations), Developmental Neuroscience (164 citations), Behavioral Neuroscience (109 citations) and Neurology (205 citations). Robin Tremblay has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Bernardo Rudy, Soo‐Hyun Lee, Hyo-Young Jeong, William Muñoz, Han Xu, Daniel Levenstein, Yoshiko Hashikawa, Koichi Hashikawa, Dayu Lin and Hyosang Lee. Their work appears in journals such as Neuron, Cell Reports, Nature Neuroscience, Science and Cerebral Cortex.
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.