Don E. Griswold

7.9k citations
129 papers · 6.8k · h-index 42

Impact in

Papers in

    • Immune Response and Inflammation 15
    • Immune Cell Function and Interaction 12
    • Mast cells and histamine 9
    • Receptor Mechanisms and Signaling 9

Don E. Griswold

127 papers receiving 6.4k citations

Peers

Don E. Griswold
Comparison fields: 5 of 129
  • Immunology 1.9k
  • Immunology and Allergy 366
  • Oncology 1.2k
  • Physiology 1.1k
  • Pharmacology 647
Replace James D. Clark with:
James D. Clark United States
Jerry L. Adams United States
Andreas J. R. Habenicht Germany
Klaus Resch Germany
Takehiko Yokomizo Japan
Patricia Andrade‐Gordon United States
Henry J. Showell United States
Kazuo Umezawa Japan
A. W. Ford‐Hutchinson Canada
Manfred Brockhaus Switzerland
Don E. Griswold relative to James D. Clark United States James D. Clark's profile →
Citations per field
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James D. Clark · 1×
Citations per year

Countries citing papers authored by Don E. Griswold

Since Specialization
Citations

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

Fields of papers citing papers by Don E. Griswold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don E. Griswold. 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 Don E. Griswold. The network helps show where Don E. Griswold may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996468
2 2000402
3 1998354
4 2000302
5 2000275
6 1989238
7 2000223
8 1996220
9 2000195
10 2006170
11 2004167
12 1998156
13 2009153
14 1999143
15 1993134
16 1995122
17 1997112
18 199797
19 200193
20 199893

About Don E. Griswold

Don E. Griswold is a scholar working on Immunology, Molecular Biology, Pharmacology, Oncology and Physiology, having authored 129 papers that have together received 6.8k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (20 papers), Inflammatory mediators and NSAID effects (20 papers), Cytokine Signaling Pathways and Interactions (15 papers), Immune Response and Inflammation (15 papers), Synthesis and biological activity (14 papers), Immune Cell Function and Interaction (12 papers), Receptor Mechanisms and Signaling (9 papers) and Mast cells and histamine (9 papers). The work is most often cited by research in Immunology (1.9k citations), Immunology and Allergy (366 citations), Oncology (1.2k citations), Physiology (1.1k citations) and Pharmacology (647 citations). Don E. Griswold has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jerry L. Adams, Edward F. Webb, Bartholomew J. Votta, John C. Lee, David C. Underwood, A M Badger, Peter R. Young, Nabil Hanna, Douglas W.P. Hay and Jeremy N. Bradbeer. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, The Journal of Immunology, Cellular Immunology and Journal of Investigative Dermatology.

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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