Sam A. Deadwyler
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neuropharmacology Research 119
- Neuroscience and Neural Engineering 28
- Neurotransmitter Receptor Influence on Behavior 19
- Cognitive Neuroscience top 0.2%
- Memory and Neural Mechanisms 70
- Neural dynamics and brain function 67
- EEG and Brain-Computer Interfaces 16
- Sleep and Wakefulness Research 15
- Pharmacology top 0.2%
- Cannabis and Cannabinoid Research 26
- Developmental Neuroscience top 1%
- Co-authors
- Robert E. HampsonGary LynchSteven R. ChildersTheodore W. BergerVasilis Z. MarmarelisDong SongJohn H. RobinsonMark O. West
- Journals
- Nature (3 papers)Science (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Sam A. Deadwyler
170 papers receiving 8.2k citations
Peers
Comparison fields: 5 of 143
- Cellular and Molecular Neuroscience 6.1k
- Cognitive Neuroscience 4.9k
- Pharmacology 2.1k
- Developmental Neuroscience 351
- Endocrine and Autonomic Systems 446
Countries citing papers authored by Sam A. Deadwyler
This map shows the geographic impact of Sam A. Deadwyler'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 Sam A. Deadwyler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam A. Deadwyler more than expected).
Fields of papers citing papers by Sam A. Deadwyler
This network shows the impact of papers produced by Sam A. Deadwyler. 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 Sam A. Deadwyler. The network helps show where Sam A. Deadwyler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sam A. Deadwyler, 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 | 2020 | 5 | |
| 2 | 2017 | 7 | |
| 3 | 2016 | 33 | |
| 4 | 2014 | 14 | |
| 5 | 2014 | 10 | |
| 6 | 2011 | 1 | |
| 7 | 2006 | 6 | |
| 8 | 2004 | 85 | |
| 9 | 2004 | 101 | |
| 10 | 2003 | 35 | |
| 11 | 2000 | 19 | |
| 12 | 1999 | 237 | |
| 13 | 1999 | 237 | |
| 14 | 1998 | 52 | |
| 15 | 1997 | 40 | |
| 16 | 1996 | 83 | |
| 17 | 1993 | 158 | |
| 18 | Long-term potentiation : from biophysics to behavior | 1988 | 191 |
| 19 | 1988 | 29 | |
| 20 | 1987 | 64 |
About Sam A. Deadwyler
Sam A. Deadwyler is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 172 papers that have together received 8.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (119 papers), Memory and Neural Mechanisms (70 papers), Neural dynamics and brain function (67 papers), Neuroscience and Neural Engineering (28 papers), Cannabis and Cannabinoid Research (26 papers), Neurotransmitter Receptor Influence on Behavior (19 papers), EEG and Brain-Computer Interfaces (16 papers) and Sleep and Wakefulness Research (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.1k citations), Cognitive Neuroscience (4.9k citations) and Pharmacology (2.1k citations). Sam A. Deadwyler has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Robert E. Hampson, Gary Lynch, Steven R. Childers, Theodore W. Berger, Vasilis Z. Marmarelis, Dong Song, John H. Robinson, Mark O. West, Carl W. Cotman and Charles J. Heyser. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.