Keith Tully
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
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- Neuroscience and Neuropharmacology Research 6
- Neuropeptides and Animal Physiology 1
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- Receptor Mechanisms and Signaling 2
- Ion channel regulation and function 2
- Co-authors
- Vadim Y. Bolshakov (4 shared papers)Tsvetkov Ea (2 shared papers)Yan Li (2 shared papers)Ryong-Moon Shin (2 shared papers)Steven N. Treistman (2 shared papers)Eric R. Kandel (1 shared paper)Stanislav S. Zakharenko (1 shared paper)Svetlana Vronskaya (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)CHEST Journal (1 paper)Cell (1 paper)Molecular Brain (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- United States
In The Last Decade
Keith Tully
8 papers receiving 687 citations
Peers
Comparison fields: 5 of 89
- Behavioral Neuroscience 107
- Cellular and Molecular Neuroscience 344
- Cognitive Neuroscience 319
- Biological Psychiatry 30
- Developmental Neuroscience 49
Countries citing papers authored by Keith Tully
This map shows the geographic impact of Keith Tully'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 Keith Tully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Tully more than expected).
Fields of papers citing papers by Keith Tully
This network shows the impact of papers produced by Keith Tully. 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 Keith Tully. The network helps show where Keith Tully may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Tully, 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 | 2010 | 213 | |
| 2 | 2005 | 188 | |
| 3 | 2007 | 162 | |
| 4 | 2010 | 61 | |
| 5 | 2004 | 37 | |
| 6 | 1997 | 27 | |
| 7 | 2004 | 11 | |
| 8 | 1999 | 10 | |
| 9 | Improving Residential Life for Disabled People | 1987 | 3 |
About Keith Tully
Keith Tully is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Behavioral Neuroscience, having authored 9 papers that have together received 712 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (4 papers), Receptor Mechanisms and Signaling (2 papers), Ion channel regulation and function (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Neuropeptides and Animal Physiology (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Behavioral Neuroscience (107 citations), Cellular and Molecular Neuroscience (344 citations), Cognitive Neuroscience (319 citations), Biological Psychiatry (30 citations) and Developmental Neuroscience (49 citations). Keith Tully has collaborated with scholars based in United States. Frequent co-authors include Vadim Y. Bolshakov, Tsvetkov Ea, Yan Li, Ryong-Moon Shin, Steven N. Treistman, Eric R. Kandel, Stanislav S. Zakharenko, Svetlana Vronskaya, Ulrich K. Schubart and Gleb P. Shumyatsky. Their work appears in journals such as Proceedings of the National Academy of Sciences, CHEST Journal, Cell, Molecular Brain and Journal of Neurophysiology.
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.