R.E. See

2.3k citations
31 papers · 2.0k · h-index 24

Impact in

Papers in

R.E. See

31 papers receiving 1.9k citations

Peers

R.E. See
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 1.5k
  • Behavioral Neuroscience 140
  • Cognitive Neuroscience 555
  • Biological Psychiatry 61
  • Endocrine and Autonomic Systems 93
Replace Patricia Duffy with:
Patricia Duffy United States
R. Christopher Pierce United States
Luigi Pulvirenti United States
Joshua Michael Gulley United States
PW Kalivas United States
Siobhan Robinson United States
Andrew M. Farrar United States
HC Fibiger Canada
Verónica Bisagno Argentina
Guy Sandner France
R.E. See relative to Patricia Duffy United States Patricia Duffy's profile →
Citations per field
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Patricia Duffy · 1×
Citations per year

Countries citing papers authored by R.E. See

Since Specialization
Citations

This map shows the geographic impact of R.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 R.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 R.E. See more than expected).

Fields of papers citing papers by R.E. See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.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 R.E. See. The network helps show where R.E. See may publish in the future.

Co-authors

The 25 scholars most cited alongside R.E. See, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R.E. See Line = papers co-authored together R.E. See links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008328
2
Conditioned cued recovery of responding following prolonged withdrawal from self-administered cocaine in rats: an animal model of relapse.
1996193
3 2007167
4 2007136
5 2006136
6 2008107
7 200580
8 200770
9 200365
10 198765
11 200864
12 199160
13 199058
14 201452
15 200846
16 200137
17 199536
18 198831
19 199628
20 199228

About R.E. See

R.E. See is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Behavioral Neuroscience and Social Psychology, having authored 31 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (26 papers), Neuroscience and Neuropharmacology Research (17 papers), Memory and Neural Mechanisms (11 papers), Receptor Mechanisms and Signaling (10 papers), Neuroendocrine regulation and behavior (3 papers), Neuropeptides and Animal Physiology (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Behavioral Neuroscience (140 citations), Cognitive Neuroscience (555 citations), Biological Psychiatry (61 citations) and Endocrine and Autonomic Systems (93 citations). R.E. See has collaborated with scholars based in United States. Frequent co-authors include Matthew W. Feltenstein, William M. Meil, June Rogers, Shannon M. Ghee, Jay Elliott, G Ellison, Jacqueline F. McGinty, Rita A. Fuchs, Matthew C. Hearing and Jeffrey W. Grimm. Their work appears in journals such as Psychopharmacology, Neuroscience, Pharmacology Biochemistry and Behavior, Brain Research and Neuropharmacology.

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.

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