Don E. Griswold

120 papers receiving 6.1k citations

Peers

Don E. Griswold
Comparison fields: 5 of 128
  • Immunology 2.0k
  • Immunology and Allergy 413
  • Physiology 1.2k
  • Oncology 1.2k
  • Pharmacology 628
Replace Andreas J. R. Habenicht with:
Andreas J. R. Habenicht Germany
Patricia Andrade‐Gordon United States
Klaus Resch Germany
Takehiko Yokomizo Japan
Franco Dallegri Italy
Henry J. Showell United States
Manfred Brockhaus Switzerland
Kazuo Umezawa Japan
A. W. Ford‐Hutchinson Canada
Stefan Zahler Germany
Don E. Griswold relative to Andreas J. R. Habenicht Germany Andreas J. R. Habenicht's profile →
Citations per field
00.5×1.6×
Andreas J. R. Habenicht · 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 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996453
2 2000386
3 1998341
4 2000281
5 2000266
6 1989231
7 2000216
8 1996209
9 2000186
10 2006164
11 2004160
12 2009149
13 1998147
14 1999134
15 1993125
16 1995119
17 1997112
18 200189
19 199888
20 200287

About Don E. Griswold

Don E. Griswold is a scholar working on Immunology, Molecular Biology, Oncology, Pharmacology and Physiology, having authored 120 papers that have together received 6.4k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (20 papers), Immune Response and Inflammation (17 papers), Inflammatory mediators and NSAID effects (17 papers), Cytokine Signaling Pathways and Interactions (16 papers), Synthesis and biological activity (14 papers), Immune Cell Function and Interaction (12 papers), Receptor Mechanisms and Signaling (8 papers) and Neuropeptides and Animal Physiology (8 papers). The work is most often cited by research in Immunology (2.0k citations), Immunology and Allergy (413 citations), Physiology (1.2k citations), Oncology (1.2k citations) and Pharmacology (628 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, Jeremy N. Bradbeer, Nabil Hanna and Douglas W.P. Hay. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, Cellular Immunology, The Journal of Immunology and Inflammation 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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