Wayne C. Glasgow

2.2k citations
46 papers · 1.9k · h-index 26

Impact in

    • Eicosanoids and Hypertension Pharmacology
    • Inflammatory mediators and NSAID effects

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Epigenetics and DNA Methylation 3
    • Inflammatory mediators and NSAID effects 16
    • Pharmacogenetics and Drug Metabolism 3

Wayne C. Glasgow

46 papers receiving 1.9k citations

Peers

Wayne C. Glasgow
Comparison fields: 5 of 103
  • Biochemistry 358
  • Pharmacology 420
  • Toxicology 73
  • Cancer Research 251
  • Virology 55
Replace Lisa M. Leesnitzer with:
Lisa M. Leesnitzer United States
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Citations per field
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Lisa M. Leesnitzer · 1×
Citations per year

Countries citing papers authored by Wayne C. Glasgow

Since Specialization
Citations

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

Fields of papers citing papers by Wayne C. Glasgow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne C. Glasgow. 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 Wayne C. Glasgow. The network helps show where Wayne C. Glasgow may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994207
2 1997167
3 1992118
4 2006110
5 200986
6 199376
7 199667
8 199758
9 200957
10 199057
11 200256
12 199556
13 200755
14 199453
15 200548
16 200548
17 199748
18 198648
19 199444
20 199941

About Wayne C. Glasgow

Wayne C. Glasgow is a scholar working on Molecular Biology, Pharmacology, Biochemistry, Oncology and Genetics, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (16 papers), Eicosanoids and Hypertension Pharmacology (15 papers), Estrogen and related hormone effects (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Nitric Oxide and Endothelin Effects (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Biochemistry (358 citations), Pharmacology (420 citations), Toxicology (73 citations), Cancer Research (251 citations) and Virology (55 citations). Wayne C. Glasgow has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Thomas E. Eling, Gadiparthi N. Rao, A. Baas, M S Runge, R. Wayne Alexander, Alan Brash, Uddhav P. Kelavkar, J. Carl Barrett, Cynthia A. Afshari and Angela Everhart. Their work appears in journals such as Journal of Biological Chemistry, Advances in experimental medicine and biology, Archives of Biochemistry and Biophysics, PLoS ONE and Molecular 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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