Steve McGaraughty

5.0k citations
75 papers · 2.8k · h-index 33

Impact in

  • Physiology top 0.2%
    • Pain Mechanisms and Treatments
    • Adenosine and Purinergic Signaling
    • Ion Channels and Receptors

Papers in

    • Pain Mechanisms and Treatments 40
    • Adenosine and Purinergic Signaling 12
    • Ion channel regulation and function 12
    • Pharmacological Receptor Mechanisms and Effects 9

Steve McGaraughty

74 papers receiving 2.8k citations

Peers

Steve McGaraughty
Comparison fields: 5 of 106
  • Physiology 656
  • Sensory Systems 531
  • Physiology 1.4k
  • Cellular and Molecular Neuroscience 911
  • Endocrine and Autonomic Systems 249
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Citations per field
00.5×1.5×2.4×
Jonathan P. Hatcher · 1×
Citations per year

Countries citing papers authored by Steve McGaraughty

Since Specialization
Citations

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

Fields of papers citing papers by Steve McGaraughty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007194
2 2003155
3 2010147
4 2007143
5 2003101
6 201197
7 199788
8 200585
9 200284
10 200184
11 200769
12 199960
13 201460
14 201959
15 199854
16 200248
17 200847
18 201946
19 200446
20 200046

About Steve McGaraughty

Steve McGaraughty is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems and Physiology, having authored 75 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (40 papers), Ion Channels and Receptors (13 papers), Neuroscience and Neuropharmacology Research (12 papers), Adenosine and Purinergic Signaling (12 papers), Ion channel regulation and function (12 papers), Neuropeptides and Animal Physiology (11 papers), Pharmacological Receptor Mechanisms and Effects (9 papers) and Dermatology and Skin Diseases (6 papers). The work is most often cited by research in Physiology (656 citations), Sensory Systems (531 citations), Physiology (1.4k citations), Cellular and Molecular Neuroscience (911 citations) and Endocrine and Autonomic Systems (249 citations). Steve McGaraughty has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Michael F. Jarvis, Mary M. Heinricher, Katharine L. Chu, Connie R. Faltynek, Prisca Honoré, Marlon Cowart, Michael E. Kort, Carol T. Wismer, Diana L. Donnelly‐Roberts and Chang Zhu. Their work appears in journals such as Journal of Neurophysiology, Brain Research, Pain, Journal of Pharmacology and Experimental Therapeutics and Neuroscience.

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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