Wayne Alexander
Impact in
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- Renin-Angiotensin System Studies
- Physiology top 10%
- Adenosine and Purinergic Signaling
- Pain Mechanisms and Treatments
Papers in
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- Renin-Angiotensin System Studies 4
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- Receptor Mechanisms and Signaling 3
- Protein Kinase Regulation and GTPase Signaling 1
- Co-authors
- Tadashi Inagami (3 shared papers)Pieter B.M.W.M. Timmermans (3 shared papers)Marc De Gasparo B (3 shared papers)Theodore L. Goodfriend (3 shared papers)Kevin J. Catt (3 shared papers)Ahsan Husain (3 shared papers)Joseph W. Harding (1 shared paper)Andrew T. Chiu (1 shared paper)
- Journals
- British Journal of Pharmacology (3 papers)Hypertension (1 paper)Journal of Vascular Research (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)IUPHAR/BPS Guide to Pharmacology CITE (2 papers)
- Partner nations
- United StatesHungaryJapan
In The Last Decade
Wayne Alexander
7 papers receiving 954 citations
Wayne Alexander's Hit Papers
Peers
Comparison fields: 5 of 77
- Cardiology and Cardiovascular Medicine 225
- Physiology 31
- Cellular and Molecular Neuroscience 98
- Pharmacology 67
- Sensory Systems 23
Countries citing papers authored by Wayne Alexander
This map shows the geographic impact of Wayne Alexander'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 Alexander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Alexander more than expected).
Fields of papers citing papers by Wayne Alexander
This network shows the impact of papers produced by Wayne Alexander. 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 Alexander. The network helps show where Wayne Alexander may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Alexander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | THE CONCISE GUIDE TO PHARMACOLOGY 2021/22: G protein‐coupled receptors Hit paper breakdown → | 2021 | 452 |
| 2 | The Concise Guide to PHARMACOLOGY 2023/24: G protein-coupled receptors Hit paper breakdown → | 2023 | 312 |
| 3 | 1995 | 194 | |
| 4 | 2025 | 15 | |
| 5 | 1994 | 3 | |
| 6 | 2019 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2008 | 1 |
About Wayne Alexander
Wayne Alexander is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Nuclear Energy and Engineering, having authored 8 papers that have together received 981 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (4 papers), Receptor Mechanisms and Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (225 citations), Physiology (31 citations), Cellular and Molecular Neuroscience (98 citations), Pharmacology (67 citations) and Sensory Systems (23 citations). Wayne Alexander has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Tadashi Inagami, Pieter B.M.W.M. Timmermans, Marc De Gasparo B, Theodore L. Goodfriend, Kevin J. Catt, Ahsan Husain, Joseph W. Harding, Andrew T. Chiu, Patrice Delafontaine and Marschall S. Runge. Their work appears in journals such as British Journal of Pharmacology, Hypertension, Journal of Vascular Research, Journal of Molecular and Cellular Cardiology and IUPHAR/BPS Guide to Pharmacology CITE.
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.