John W. Sharkey

5.3k citations
86 papers · 4.6k · h-index 34

Impact in

    • Neuroscience and Neuropharmacology Research
    • Neurotransmitter Receptor Influence on Behavior
    • Nerve injury and regeneration
  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Neuroscience and Neuropharmacology Research 19
    • Neurotransmitter Receptor Influence on Behavior 10
    • Neuroinflammation and Neurodegeneration Mechanisms 13
    • Traumatic Brain Injury and Neurovascular Disturbances 10

John W. Sharkey

84 papers receiving 4.4k citations

Peers

John W. Sharkey
Comparison fields: 5 of 131
  • Cellular and Molecular Neuroscience 1.6k
  • Neurology 638
  • Toxicology 198
  • Physiology 240
  • Biological Psychiatry 95
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Citations per field
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Citations per year

Countries citing papers authored by John W. Sharkey

Since Specialization
Citations

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

Fields of papers citing papers by John W. Sharkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Sharkey. 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 John W. Sharkey. The network helps show where John W. Sharkey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994411
2 2010383
3 2007224
4 1993202
5 1997202
6 2006199
7 1988190
8 2004187
9 2004128
10 2007126
11 2004125
12 2000118
13 2001117
14 1988104
15 201099
16 199188
17 199588
18 200674
19 199672
20 200672

About John W. Sharkey

John W. Sharkey is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Neurology and Physiology, having authored 86 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Receptor Mechanisms and Signaling (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Signaling Pathways in Disease (6 papers), Cell death mechanisms and regulation (6 papers) and Ion channel regulation and function (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Neurology (638 citations), Toxicology (198 citations), Physiology (240 citations) and Biological Psychiatry (95 citations). John W. Sharkey has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Steven P. Butcher, Keith Finlayson, John S. Kelly, Hugh M. Marston, Jared W. Young, Michael J. Kuhar, Christopher Spratt, Paul A. Kelly, Douglas E. McBean and Nicola Crawford. Their work appears in journals such as Brain Research, Neuroscience, Journal of Cerebral Blood Flow & Metabolism, Neuropharmacology and European Journal of Pharmacology.

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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