Stephen Long

706 citations
17 papers · 527 · h-index 9

Impact in

  • Physiology top 10%
    • Pain Mechanisms and Treatments
  • Neurology top 10%
    • Botulinum Toxin and Related Neurological Disorders
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Stephen Long

15 papers receiving 503 citations

Peers

Stephen Long
Comparison fields: 5 of 81
  • Physiology 245
  • Neurology 131
  • Cellular and Molecular Neuroscience 117
  • Anesthesiology and Pain Medicine 23
  • Sensory Systems 19
Replace Çetin Hakan Karadağ with:
Çetin Hakan Karadağ Türkiye
Xiaoqin Run China
Anne-Marie Privat France
Jean‐Sébastien Walczak Canada
Eduardo Moura Portugal
Shailen K. Joshi United States
Kimberly Della Penna United States
Kang-Wu Li United States
David Z. Luo United States
C. Paeile Chile
Stephen Long relative to Çetin Hakan Karadağ Türkiye Çetin Hakan Karadağ's profile →
Citations per field
00.5×3.2×
Çetin Hakan Karadağ · 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

17 of 17 papers shown
#Work
1 2015168
2 2016118
3 201680
4 200648
5 200633
6 200132
7 200610
8 19989
9 19918
10 20078
11 19904
12 20093
13 20082
14 20062
15 19991
16
A generalization of the notion of ovals to symmetric designs
19931
17 20150

About Stephen Long

Stephen Long is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology, Molecular Biology and Music, having authored 17 papers that have together received 527 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Tactile and Sensory Interactions (3 papers), Pain Mechanisms and Treatments (3 papers), Visual perception and processing mechanisms (3 papers), Schizophrenia research and treatment (2 papers), Receptor Mechanisms and Signaling (2 papers), Musicology and Musical Analysis (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Physiology (245 citations), Neurology (131 citations), Cellular and Molecular Neuroscience (117 citations), Anesthesiology and Pain Medicine (23 citations) and Sensory Systems (19 citations). Stephen Long has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Malcolm Stoker, Cathelijne Alleman, Floortje van Nooten, Robert Snijder, Nathaniel P. Katz, David M. Simpson, Joanna Van, Jessica Robinson‐Papp, Andrew C. McCreary and M.B. Hesselink. Their work appears in journals such as European Journal of Pharmacology, Diabetes Research and Clinical Practice, Bioorganic & Medicinal Chemistry Letters, Neuropsychopharmacology and Chemical and Pharmaceutical Bulletin.

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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