Thomas McAvoy

1.0k citations
19 papers · 822 · h-index 14

Impact in

    • Neuroscience and Neuropharmacology Research
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Phosphodiesterase function and regulation
    • Ubiquitin and proteasome pathways
    • Ion channel regulation and function

Papers in

    • Receptor Mechanisms and Signaling 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Signaling Pathways in Disease 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Advanced Proteomics Techniques and Applications 6
    • Mass Spectrometry Techniques and Applications 4

Thomas McAvoy

18 papers receiving 815 citations

Peers

Thomas McAvoy
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 176
  • Molecular Biology 601
  • Cell Biology 103
  • Spectroscopy 84
  • Aging 7
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Kang‐Sik Park South Korea
Xiang Yin China
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Emiko Yamauchi Japan
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Bing Bai China
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Citations per field
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Citations per year

Countries citing papers authored by Thomas McAvoy

Since Specialization
Citations

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

Fields of papers citing papers by Thomas McAvoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2007219
2 200778
3 201073
4 199970
5 201459
6 200958
7 200653
8 201053
9 201429
10 200829
11 201426
12 201220
13 201620
14 201617
15 201610
16 20163
17 20203
18 20122
19 20120

About Thomas McAvoy

Thomas McAvoy is a scholar working on Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience, Oncology and Pharmacology, having authored 19 papers that have together received 822 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Receptor Mechanisms and Signaling (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Signaling Pathways in Disease (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (176 citations), Molecular Biology (601 citations), Cell Biology (103 citations), Spectroscopy (84 citations) and Aging (7 citations). Thomas McAvoy has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Angus C. Nairn, Paul Greengard, Jung‐Hyuck Ahn, Akinori Nishi, Sergey Rakhilin, Omar Laterza, Michael E. Lassman, Derek L Chappell, Ming‐Ming Zhou and Daniel S. Spellman. Their work appears in journals such as Bioanalysis, Proceedings of the National Academy of Sciences, Clinical Chemistry, Alzheimer s & Dementia and Journal of Proteome Research.

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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