Stephen Rayport

7.9k citations
72 papers · 5.6k indexed · 1 hit paper · h-index 37

Impact in

Papers in

Stephen Rayport

70 papers receiving 5.6k citations

Hit Papers

Amphetamine redistributes dopamine from synaptic vesicles to the cytosol and promotes reverse transport 1995 · 551 citations
5511995202620052015100200300400500

Peers

Stephen Rayport
Comparison fields: 5 of 124
  • Cellular and Molecular Neuroscience 4.1k
  • Cognitive Neuroscience 1.1k
  • Biological Psychiatry 130
  • Neurology 640
  • Developmental Neuroscience 165
Replace Eugenia V. Gurevich with:
Eugenia V. Gurevich United States
Andrés Ozaita Spain
Robert M. Duvoisin United States
Tatiana Tkatch United States
Gloria E. Meredith United States
Emmanuel Valjent France
Michael A. Sutton United States
Manuel Mameli France
Jean‐Pierre Hornung Switzerland
Oliver M. Schlüter United States
Stephen Rayport relative to Eugenia V. Gurevich United States Eugenia V. Gurevich's profile →
Citations per field
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Eugenia V. Gurevich · 1×
Citations per year

Countries citing papers authored by Stephen Rayport

Since Specialization
Citations

This map shows the geographic impact of Stephen Rayport'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 Stephen Rayport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Rayport more than expected).

Fields of papers citing papers by Stephen Rayport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Rayport. 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 Stephen Rayport. The network helps show where Stephen Rayport may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Stephen Rayport, 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 Stephen Rayport Line = papers co-authored together Stephen Rayport links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 202037
3 202011
4 20195
5 201843
6 20182
7 201737
8 201656
9 201571
10 2014156
11 201216
12 2011196
13 200973
14 200918
15 200735
16 2006107
17 2004179
18 199951
19 1998253
20 199645

About Stephen Rayport

Stephen Rayport is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry, Cognitive Neuroscience, Molecular Biology and Biochemistry, having authored 72 papers that have together received 5.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (48 papers), Neurotransmitter Receptor Influence on Behavior (35 papers), Receptor Mechanisms and Signaling (26 papers), Neural dynamics and brain function (12 papers), Neurobiology and Insect Physiology Research (10 papers), Photoreceptor and optogenetics research (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Memory and Neural Mechanisms (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.1k citations), Cognitive Neuroscience (1.1k citations), Biological Psychiatry (130 citations), Neurology (640 citations) and Developmental Neuroscience (165 citations). Stephen Rayport has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include David Sulzer, Nao Chuhma, René Hen, Myra P. Joyce, G. Rajendran, Susana Mingote, Samuel Schacher, J.F. Cubells, YY Lau and H.H. Kristensen. Their work appears in journals such as Journal of Neuroscience, Neuron, Neuroscience, Science and Journal of Neurochemistry.

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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