Gregory D. Smith
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
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- Cardiac electrophysiology and arrhythmias
Papers in
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- Neuroscience and Neuropharmacology Research 18
- Neuroscience and Neural Engineering 12
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- Neural dynamics and brain function 15
- Co-authors
- Joel Keizer (7 shared papers)Thomas E. Conturo (1 shared paper)Joaquín N. Lugo (22 shared papers)Arthur Sherman (3 shared papers)S. Murray Sherman (2 shared papers)Marco A. Huertas (9 shared papers)Johannes Michael Wagner (1 shared paper)Charles L. Cox (2 shared papers)
- Journals
- Biophysical Journal (13 papers)F1000Research (5 papers)Journal of Theoretical Biology (4 papers)PLoS ONE (4 papers)The Journal of Physiology (3 papers)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Gregory D. Smith
117 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 150
- Cellular and Molecular Neuroscience 908
- Cardiology and Cardiovascular Medicine 666
- Cognitive Neuroscience 587
- Sensory Systems 131
- Statistical and Nonlinear Physics 329
Countries citing papers authored by Gregory D. Smith
This map shows the geographic impact of Gregory D. Smith'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 Gregory D. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory D. Smith more than expected).
Fields of papers citing papers by Gregory D. Smith
This network shows the impact of papers produced by Gregory D. Smith. 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 Gregory D. Smith. The network helps show where Gregory D. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory D. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 200 | |
| 2 | 1998 | 191 | |
| 3 | 1990 | 177 | |
| 4 | 2000 | 169 | |
| 5 | 1998 | 166 | |
| 6 | 1996 | 163 | |
| 7 | 1996 | 138 | |
| 8 | 2014 | 134 | |
| 9 | 2001 | 127 | |
| 10 | 1998 | 107 | |
| 11 | 2006 | 93 | |
| 12 | 1999 | 78 | |
| 13 | 2007 | 68 | |
| 14 | 1996 | 64 | |
| 15 | 2007 | 50 | |
| 16 | 2015 | 49 | |
| 17 | 2010 | 47 | |
| 18 | 2008 | 47 | |
| 19 | 2002 | 45 | |
| 20 | 2017 | 43 |
About Gregory D. Smith
Gregory D. Smith is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Molecular Biology and Ocean Engineering, having authored 124 papers that have together received 3.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (25 papers), Cardiac electrophysiology and arrhythmias (22 papers), Neuroscience and Neuropharmacology Research (18 papers), Neural dynamics and brain function (15 papers), Neuroscience and Neural Engineering (12 papers), stochastic dynamics and bifurcation (11 papers), Geophysical Methods and Applications (11 papers) and Receptor Mechanisms and Signaling (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (908 citations), Cardiology and Cardiovascular Medicine (666 citations), Cognitive Neuroscience (587 citations), Sensory Systems (131 citations) and Statistical and Nonlinear Physics (329 citations). Gregory D. Smith has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Joel Keizer, Thomas E. Conturo, Joaquín N. Lugo, Arthur Sherman, S. Murray Sherman, Marco A. Huertas, Johannes Michael Wagner, Charles L. Cox, John Rinzel and John D. Pearson. Their work appears in journals such as Biophysical Journal, F1000Research, Journal of Theoretical Biology, PLoS ONE and The Journal of Physiology.
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.