John Quilley

70 papers receiving 2.2k citations

Peers

John Quilley
Comparison fields: 5 of 92
  • Biochemistry 1.3k
  • Endocrinology, Diabetes and Metabolism 678
  • Physiology 907
  • Pharmacology 240
  • Cardiology and Cardiovascular Medicine 391
Replace Noriyuki Miyata with:
Noriyuki Miyata Japan
Mairéad A. Carroll United States
A. P. Zou United States
Baichun Yang United States
Kathryn M. Gauthier United States
Eduardo Barbosa‐Sicard Germany
Adebayo Oyekan United States
Mong-Heng Wang United States
Magdalena Alonso‐Galicia United States
Kiyohiko Takahashi Japan
John Quilley relative to Noriyuki Miyata Japan Noriyuki Miyata's profile →
Citations per field
00.5×1.5×
Noriyuki Miyata · 1×
Citations per year

Countries citing papers authored by John Quilley

Since Specialization
Citations

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

Fields of papers citing papers by John Quilley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Quilley. 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 John Quilley. The network helps show where John Quilley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999160
2 1997115
3 1995114
4 1992108
5 199996
6 200182
7 200080
8 198355
9 199853
10 199452
11 200452
12 199851
13 200751
14 200350
15 201047
16 198945
17 201143
18 199443
19 198542
20 201241

About John Quilley

John Quilley is a scholar working on Biochemistry, Physiology, Endocrinology, Diabetes and Metabolism, Pharmacology and Molecular Biology, having authored 70 papers that have together received 2.2k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (50 papers), Nitric Oxide and Endothelin Effects (26 papers), Inflammatory mediators and NSAID effects (18 papers), Hormonal Regulation and Hypertension (17 papers), Pharmacogenetics and Drug Metabolism (8 papers), Renin-Angiotensin System Studies (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers) and Alcohol Consumption and Health Effects (5 papers). The work is most often cited by research in Biochemistry (1.3k citations), Endocrinology, Diabetes and Metabolism (678 citations), Physiology (907 citations), Pharmacology (240 citations) and Cardiology and Cardiovascular Medicine (391 citations). John Quilley has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include J C McGiff, John C. McGiff, David Fulton, Adebayo Oyekan, Yu-Jung Chen, John R. Falck, Keyvan Mahboubi, Yu-Jung Chen, Mairéad A. Carroll and Houli Jiang. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Heart and Circulatory Physiology, British Journal of Pharmacology, European Journal of Pharmacology and Hypertension.

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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