Steven M. Gee
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Genetic Neurodegenerative Diseases
- Biological Psychiatry top 10%
Papers in
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- Neuroscience and Neuropharmacology Research 7
- Neurotransmitter Receptor Influence on Behavior 2
- Neuroscience and Neural Engineering 1
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- Receptor Mechanisms and Signaling 4
- Ion channel regulation and function 2
- Hedgehog Signaling Pathway Studies 1
- Co-authors
- Vikaas S. Sohal (4 shared papers)Tosha Patel (2 shared papers)Karl Deisseroth (1 shared paper)Francisco Luongo (1 shared paper)Anthony T. Lee (1 shared paper)John L.R. Rubenstein (1 shared paper)Daniel Vogt (1 shared paper)Damian M. Cummings (1 shared paper)
- Journals
- Journal of Neuroscience (3 papers)Neuron (2 papers)Neuropharmacology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Brain (1 paper)
- Partner nations
- United States
In The Last Decade
Steven M. Gee
8 papers receiving 853 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 582
- Biological Psychiatry 43
- Developmental Neuroscience 58
- Cognitive Neuroscience 269
- Behavioral Neuroscience 38
Countries citing papers authored by Steven M. Gee
This map shows the geographic impact of Steven M. Gee'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 Steven M. Gee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Gee more than expected).
Fields of papers citing papers by Steven M. Gee
This network shows the impact of papers produced by Steven M. Gee. 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 Steven M. Gee. The network helps show where Steven M. Gee may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven M. Gee, 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 | 2012 | 171 | |
| 2 | 2013 | 153 | |
| 3 | 2009 | 132 | |
| 4 | 2016 | 108 | |
| 5 | 2020 | 91 | |
| 6 | 2012 | 85 | |
| 7 | 2017 | 66 | |
| 8 | 2019 | 57 |
About Steven M. Gee
Steven M. Gee is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Developmental Neuroscience, having authored 8 papers that have together received 863 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (4 papers), Ion channel regulation and function (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Neural dynamics and brain function (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Neuroscience and Neural Engineering (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (582 citations), Biological Psychiatry (43 citations), Developmental Neuroscience (58 citations), Cognitive Neuroscience (269 citations) and Behavioral Neuroscience (38 citations). Steven M. Gee has collaborated with scholars based in United States. Frequent co-authors include Vikaas S. Sohal, Tosha Patel, Karl Deisseroth, Francisco Luongo, Anthony T. Lee, John L.R. Rubenstein, Daniel Vogt, Damian M. Cummings, Véronique André and Carlos Cepeda. Their work appears in journals such as Journal of Neuroscience, Neuron, Neuropharmacology, Proceedings of the National Academy of Sciences and Brain.
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.