Cai Read
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Pharmacology top 2%
- Apelin-related biomedical research
Papers in
-
- Apelin-related biomedical research 7
- Surgery 6
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 6
- Co-authors
- E. Hefco (1 shared paper)P. Illner (1 shared paper)L. Krulich (1 shared paper)Peiran Yang (8 shared papers)Anthony P. Davenport (7 shared papers)Janet J. Maguire (7 shared papers)Rhoda E. Kuc (6 shared papers)Robert C. Glen (6 shared papers)
- Journals
- Basic & Clinical Pharmacology & Toxicology (1 paper)British Journal of Pharmacology (1 paper)Circulation (1 paper)Journal of the American Heart Association (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Cai Read
10 papers receiving 756 citations
Peers
Comparison fields: 5 of 80
- Behavioral Neuroscience 93
- Pharmacology 359
- Cellular and Molecular Neuroscience 253
- Endocrinology, Diabetes and Metabolism 169
- Surgery 302
Countries citing papers authored by Cai Read
This map shows the geographic impact of Cai Read'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 Cai Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cai Read more than expected).
Fields of papers citing papers by Cai Read
This network shows the impact of papers produced by Cai Read. 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 Cai Read. The network helps show where Cai Read may publish in the future.
Co-authors
The 25 scholars most cited alongside Cai Read, 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 | 1974 | 227 | |
| 2 | 2017 | 187 | |
| 3 | 2019 | 83 | |
| 4 | 2016 | 75 | |
| 5 | 2016 | 60 | |
| 6 | 2018 | 43 | |
| 7 | 2019 | 39 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 18 | |
| 10 | 2019 | 16 |
About Cai Read
Cai Read is a scholar working on Pharmacology, Surgery, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Physiology, having authored 10 papers that have together received 771 indexed citations. Recurring topics across this work include Apelin-related biomedical research (7 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Nuclear Receptors and Signaling (4 papers), Hormonal Regulation and Hypertension (2 papers), GDF15 and Related Biomarkers (1 paper), Regulation of Appetite and Obesity (1 paper), Adipose Tissue and Metabolism (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Behavioral Neuroscience (93 citations), Pharmacology (359 citations), Cellular and Molecular Neuroscience (253 citations), Endocrinology, Diabetes and Metabolism (169 citations) and Surgery (302 citations). Cai Read has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include E. Hefco, P. Illner, L. Krulich, Peiran Yang, Anthony P. Davenport, Janet J. Maguire, Rhoda E. Kuc, Robert C. Glen, Nicholas W. Morrell and Stephen J. Sawiak. Their work appears in journals such as Basic & Clinical Pharmacology & Toxicology, British Journal of Pharmacology, Circulation, Journal of the American Heart Association and Frontiers in 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.