Fannie St-Gelais
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
- Photoreceptor and optogenetics research
- Endocrine and Autonomic Systems top 10%
Papers in
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- Receptor Mechanisms and Signaling 6
- Ion channel regulation and function 3
- Lipid Membrane Structure and Behavior 1
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- Neuroscience and Neuropharmacology Research 5
- Nerve injury and regeneration 3
- Neuropeptides and Animal Physiology 2
- Photoreceptor and optogenetics research 1
- Co-authors
- Louis‐Éric Trudeau (6 shared papers)Claudia Jomphe (2 shared papers)James R. Howe (2 shared papers)Susumu Tomita (2 shared papers)Wei Zhang (2 shared papers)Sylvain Williams (1 shared paper)Marc Danik (1 shared paper)Mathieu Cotton (1 shared paper)
- Journals
- Neuron (2 papers)The EMBO Journal (1 paper)Hippocampus (1 paper)Journal of Neuroscience (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Fannie St-Gelais
8 papers receiving 746 citations
Peers
Comparison fields: 5 of 71
- Cellular and Molecular Neuroscience 625
- Endocrine and Autonomic Systems 55
- Molecular Biology 512
- Neurology 42
- Cognitive Neuroscience 98
Countries citing papers authored by Fannie St-Gelais
This map shows the geographic impact of Fannie St-Gelais'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 Fannie St-Gelais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fannie St-Gelais more than expected).
Fields of papers citing papers by Fannie St-Gelais
This network shows the impact of papers produced by Fannie St-Gelais. 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 Fannie St-Gelais. The network helps show where Fannie St-Gelais may publish in the future.
Co-authors
The 25 scholars most cited alongside Fannie St-Gelais, 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 | 2009 | 177 | |
| 2 | 2006 | 156 | |
| 3 | 2007 | 140 | |
| 4 | 2004 | 130 | |
| 5 | 2004 | 59 | |
| 6 | 2006 | 42 | |
| 7 | 2004 | 27 | |
| 8 | 2005 | 25 |
About Fannie St-Gelais
Fannie St-Gelais is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Reproductive Medicine and Infectious Diseases, having authored 8 papers that have together received 756 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (3 papers), Nerve injury and regeneration (3 papers), Neuropeptides and Animal Physiology (2 papers), Memory and Neural Mechanisms (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (625 citations), Endocrine and Autonomic Systems (55 citations), Molecular Biology (512 citations), Neurology (42 citations) and Cognitive Neuroscience (98 citations). Fannie St-Gelais has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Louis‐Éric Trudeau, Claudia Jomphe, James R. Howe, Susumu Tomita, Wei Zhang, Sylvain Williams, Marc Danik, Mathieu Cotton, Grégory Dal Bo and Jonathan C. Trinidad. Their work appears in journals such as Neuron, The EMBO Journal, Hippocampus, Journal of Neuroscience and Journal of Neurochemistry.
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.