Scott W. Hooker

435 citations
10 papers · 342 · h-index 7

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses

Papers in

Scott W. Hooker

10 papers receiving 338 citations

Peers

Scott W. Hooker
Comparison fields: 5 of 66
  • Physiology 172
  • Immunology 143
  • Oncology 80
  • Genetics 19
  • Molecular Biology 107
Replace Fethia Ben Yebdri with:
Fethia Ben Yebdri Canada
Giovanna Donvito Italy
Yong‐Min Lin China
Angela Alme United States
Louise Elliott Ireland
Claire Séror France
Jennifer S. Dayton United States
Lucy Hepburn United Kingdom
Julia Hesse Germany
Heather Cohen United States
Scott W. Hooker relative to Fethia Ben Yebdri Canada Fethia Ben Yebdri's profile →
Citations per field
00.5×1.5×2.1×
Fethia Ben Yebdri · 1×
Citations per year

Countries citing papers authored by Scott W. Hooker

Since Specialization
Citations

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

Fields of papers citing papers by Scott W. Hooker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 199366
2 200657
3 200354
4 199847
5 199736
6 199434
7 200033
8 19906
9 20056
10 19983

About Scott W. Hooker

Scott W. Hooker is a scholar working on Molecular Biology, Physiology, Immunology, Epidemiology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 342 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (5 papers), Immune Cell Function and Interaction (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Biochemical and Molecular Research (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Macrophage Migration Inhibitory Factor (1 paper), Peptidase Inhibition and Analysis (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Physiology (172 citations), Immunology (143 citations), Oncology (80 citations), Genetics (19 citations) and Molecular Biology (107 citations). Scott W. Hooker has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Linda F. Thompson, Regina Resta, Christopher J. Knott‐Craig, Thomas B. Knudsen, Michelle L. Joachims, Michael R. Blackburn, Hong Jiang, Masahide Takedachi, Tomoko Hashikawa and Jerzy Maj. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Investigation, Gene, Advances in experimental medicine and biology and Cellular Immunology.

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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