Brian Everill
Impact in
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- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Physiology top 10%
- Pain Mechanisms and Treatments
Papers in
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- Neuroscience and Neural Engineering 4
- Neurotransmitter Receptor Influence on Behavior 3
- Neuroscience and Neuropharmacology Research 2
-
- Ion channel regulation and function 7
- Co-authors
- Jeffery D. Kocsis (5 shared papers)Marco Rizzo (1 shared paper)Anthony D. Morielli (1 shared paper)James Lausier (2 shared papers)Jack L. Leahy (2 shared papers)Aida Habibovic (2 shared papers)Violet Roskens (2 shared papers)Mina Peshavaria (2 shared papers)
- Journals
- Neuroscience (2 papers)Journal of Neurophysiology (2 papers)Molecular Biology of the Cell (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)Behavioural Processes (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Brian Everill
11 papers receiving 584 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 228
- Physiology 270
- Sensory Systems 31
- Molecular Biology 350
- Endocrinology, Diabetes and Metabolism 76
Countries citing papers authored by Brian Everill
This map shows the geographic impact of Brian Everill'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 Brian Everill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Everill more than expected).
Fields of papers citing papers by Brian Everill
This network shows the impact of papers produced by Brian Everill. 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 Brian Everill. The network helps show where Brian Everill may publish in the future.
Co-authors
The 21 scholars most cited alongside Brian Everill, 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 | 1999 | 160 | |
| 2 | 2006 | 103 | |
| 3 | 1998 | 98 | |
| 4 | 2004 | 76 | |
| 5 | 2001 | 49 | |
| 6 | 2000 | 38 | |
| 7 | 2008 | 31 | |
| 8 | 2003 | 13 | |
| 9 | 1991 | 11 | |
| 10 | 1987 | 9 | |
| 11 | 1995 | 3 | |
| 12 | 1991 | 0 |
About Brian Everill
Brian Everill is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 591 indexed citations. Recurring topics across this work include Ion channel regulation and function (7 papers), Pain Mechanisms and Treatments (4 papers), Neuroscience and Neural Engineering (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Pancreatic function and diabetes (2 papers), Diabetes Management and Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (228 citations), Physiology (270 citations), Sensory Systems (31 citations), Molecular Biology (350 citations) and Endocrinology, Diabetes and Metabolism (76 citations). Brian Everill has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jeffery D. Kocsis, Marco Rizzo, Anthony D. Morielli, James Lausier, Jack L. Leahy, Aida Habibovic, Violet Roskens, Mina Peshavaria, Thomas L. Jetton and Stephen G. Waxman. Their work appears in journals such as Neuroscience, Journal of Neurophysiology, Molecular Biology of the Cell, American Journal of Physiology-Endocrinology and Metabolism and Behavioural Processes.
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.