Wayne C. Glasgow

2.3k citations
49 papers · 2.0k · h-index 27

Impact in

    • Eicosanoids and Hypertension Pharmacology
    • Inflammatory mediators and NSAID effects

Papers in

Wayne C. Glasgow

49 papers receiving 2.0k citations

Peers

Wayne C. Glasgow
Comparison fields: 5 of 108
  • Biochemistry 387
  • Pharmacology 447
  • Toxicology 75
  • Cancer Research 265
  • Nutrition and Dietetics 198
Replace Lisa M. Leesnitzer with:
Lisa M. Leesnitzer United States
Karen L. MacNaul United States
Marı́a Luisa Nieto Spain
Evan E. Opas United States
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Alan Bohrer United States
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Wayne C. Glasgow relative to Lisa M. Leesnitzer United States Lisa M. Leesnitzer's profile →
Citations per field
00.5×1.6×
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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994216
2 1997169
3 1992122
4 2006121
5 200989
6 199380
7 199671
8 199761
9 199059
10 200259
11 200758
12 199458
13 200958
14 199557
15 199754
16 198653
17 200551
18 200549
19 199447
20 199942

About Wayne C. Glasgow

Wayne C. Glasgow is a scholar working on Biochemistry, Pharmacology, Cancer Research, Genetics and Oncology, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (17 papers), Eicosanoids and Hypertension Pharmacology (15 papers), Estrogen and related hormone effects (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Nitric Oxide and Endothelin Effects (4 papers) and Protein Tyrosine Phosphatases (4 papers). The work is most often cited by research in Biochemistry (387 citations), Pharmacology (447 citations), Toxicology (75 citations), Cancer Research (265 citations) and Nutrition and Dietetics (198 citations). Wayne C. Glasgow has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Thomas E. Eling, Gadiparthi N. Rao, ALAN R. BRASH, M S Runge, R. Wayne Alexander, Arnold S. Baas, Uddhav P. Kelavkar, J. Carl Barrett, Cynthia A. Afshari and Gregory J. Palumbo. Their work appears in journals such as Journal of Biological Chemistry, Advances in experimental medicine and biology, Archives of Biochemistry and Biophysics, Molecular Pharmacology and Journal of Virology.

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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