Stephen Long

13 papers receiving 518 citations

Peers

Stephen Long
Comparison fields: 5 of 58
  • Physiology 284
  • Neurology 92
  • Anesthesiology and Pain Medicine 43
  • Cellular and Molecular Neuroscience 64
  • Sensory Systems 16
Replace Teresa Mixcoatl-Zecuatl with:
Teresa Mixcoatl-Zecuatl Mexico
Çetin Hakan Karadağ Türkiye
Louis C. Kirby United States
Kim Lawson United Kingdom
Özgür Yeşilyurt Türkiye
Judith A. Kiritsy‐Roy United States
Zsófia Hajna Hungary
Adam Kesingland Switzerland
Izaak den Daas Netherlands
Tetsuo Kiso Japan
Stephen Long relative to Teresa Mixcoatl-Zecuatl Mexico Teresa Mixcoatl-Zecuatl's profile →
Citations per field
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Teresa Mixcoatl-Zecuatl · 1×
Citations per year

Countries citing papers authored by Stephen Long

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2015184
2 2016126
3 201685
4 200651
5 200634
6 200133
7 200610
8 19989
9 19918
10 20078
11 19904
12 20093
13 20062
14 20082
15
A generalization of the notion of ovals to symmetric designs
19931
16 19990

About Stephen Long

Stephen Long is a scholar working on Cellular and Molecular Neuroscience, Music, Psychiatry and Mental health, Cognitive Neuroscience and Physiology, having authored 16 papers that have together received 560 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Visual perception and processing mechanisms (3 papers), Pain Mechanisms and Treatments (3 papers), Musicology and Musical Analysis (2 papers), Synthesis and biological activity (2 papers), Receptor Mechanisms and Signaling (1 paper) and Phenothiazines and Benzothiazines Synthesis and Activities (1 paper). The work is most often cited by research in Physiology (284 citations), Neurology (92 citations), Anesthesiology and Pain Medicine (43 citations), Cellular and Molecular Neuroscience (64 citations) and Sensory Systems (16 citations). Stephen Long has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Malcolm Stoker, Cathelijne J. M. Alleman, Floortje E. van Nooten, Nathaniel P. Katz, Robert J. Snijder, David Martin Simpson, Joanna T Van, Jessica Robinson‐Papp, Chris Gerrit Kruse and Jeffrey Colm Glennon. Their work appears in journals such as European Journal of Pharmacology, Chemical and Pharmaceutical Bulletin, Diabetes Research and Clinical Practice, Journal of Pain and Bioorganic & Medicinal Chemistry Letters.

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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