Ronald E. See
- Behavioral Neuroscience top 0.2%
- Stress Responses and Cortisol 20
- Cellular and Molecular Neuroscience top 0.1%
- Neurotransmitter Receptor Influence on Behavior 95
- Neuroscience and Neuropharmacology Research 52
- Neuropeptides and Animal Physiology 6
- Cognitive Neuroscience top 0.5%
- Memory and Neural Mechanisms 37
- Biological Psychiatry top 1%
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- Receptor Mechanisms and Signaling 35
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- Neuroendocrine regulation and behavior 21
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- Schizophrenia research and treatment 12
- Co-authors
- Rita A. FuchsCarmela M. ReichelMatthew W. FeltensteinJoselyn McLaughlinPaul J. KruzichKathryn EvansShannon M. GheeWilliam M. Meil
- Journals
- Psychopharmacology (21 papers)Pharmacology Biochemistry and Behavior (11 papers)Neuropsychopharmacology (8 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ronald E. See
125 papers receiving 7.8k citations
Peers
Comparison fields: 5 of 98
- Behavioral Neuroscience 1.2k
- Cellular and Molecular Neuroscience 6.1k
- Cognitive Neuroscience 2.8k
- Biological Psychiatry 328
- Endocrine and Autonomic Systems 619
Countries citing papers authored by Ronald E. See
This map shows the geographic impact of Ronald E. See'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 Ronald E. See with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald E. See more than expected).
Fields of papers citing papers by Ronald E. See
This network shows the impact of papers produced by Ronald E. See. 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 Ronald E. See. The network helps show where Ronald E. See may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ronald E. See, 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 | 2016 | 16 | |
| 2 | 2015 | 24 | |
| 3 | 2013 | 46 | |
| 4 | 2013 | 134 | |
| 5 | 2012 | 47 | |
| 6 | 2011 | 110 | |
| 7 | 2010 | 33 | |
| 8 | 2009 | 59 | |
| 9 | 2007 | 22 | |
| 10 | 2007 | 163 | |
| 11 | 2007 | 126 | |
| 12 | 2006 | 76 | |
| 13 | 2002 | 166 | |
| 14 | 2002 | 220 | |
| 15 | 2002 | 328 | |
| 16 | 1999 | 23 | |
| 17 | 1994 | 70 | |
| 18 | 1992 | 5 | |
| 19 | 1991 | 40 | |
| 20 | 1989 | 68 |
About Ronald E. See
Ronald E. See is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 125 papers that have together received 7.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (95 papers), Neuroscience and Neuropharmacology Research (52 papers), Memory and Neural Mechanisms (37 papers), Receptor Mechanisms and Signaling (35 papers), Neuroendocrine regulation and behavior (21 papers), Stress Responses and Cortisol (20 papers), Schizophrenia research and treatment (12 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Behavioral Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (6.1k citations) and Cognitive Neuroscience (2.8k citations). Ronald E. See has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Rita A. Fuchs, Carmela M. Reichel, Matthew W. Feltenstein, Joselyn McLaughlin, Paul J. Kruzich, Kathryn Evans, Shannon M. Ghee, William M. Meil, Gaylord Ellison and Christopher C. Ledford. Their work appears in journals such as Psychopharmacology, Pharmacology Biochemistry and Behavior, Neuropsychopharmacology, Brain Research and Drug and Alcohol Dependence.
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.