J. S. Davies
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Physiology
- Co-authors
- M. F. ScanlonJ. C. SmithMarc EvansJohn CockcroftMousumi BiswasKevin J. HarringtonA. NormanPeter Blake
- Topics
- Growth Hormone and Insulin-like Growth Factors (9 papers)Pituitary Gland Disorders and Treatments (5 papers)Cardiovascular Health and Disease Prevention (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicinePulmonary and Respiratory Medicine
- Journals
- The Journal of Clinical Endocrinology & MetabolismAnnals of the New York Academy of SciencesFertility and Sterility
- Partner nations
- United KingdomSingaporeKuwait
In The Last Decade
J. S. Davies
21 papers receiving 567 citations
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 254
- Cardiology and Cardiovascular Medicine 161
- Surgery 127
- Pulmonary and Respiratory Medicine 123
- Physiology 95
Countries citing papers authored by J. S. Davies
This map shows the geographic impact of J. S. Davies'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 J. S. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. S. Davies more than expected).
Fields of papers citing papers by J. S. Davies
This network shows the impact of papers produced by J. S. Davies. 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 J. S. Davies. The network helps show where J. S. Davies may publish in the future.
Co-authorship network of co-authors of J. S. Davies
This figure shows the co-authorship network connecting the top 25 collaborators of J. S. Davies. A scholar is included among the top collaborators of J. S. Davies based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. S. Davies. J. S. Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 9 | |
| 3 | 10 | |
| 4 | 34 | |
| 5 | 87 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 31 | |
| 9 | 118 | |
| 10 | 11 | |
| 11 | 108 | |
| 12 | 85 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 13 | |
| 17 | 7 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 12 |
About J. S. Davies
J. S. Davies is a scholar working on Endocrinology, Diabetes and Metabolism, Anatomy and Physiology, having authored 21 papers that have together received 587 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Pituitary Gland Disorders and Treatments (5 papers) and Cardiovascular Health and Disease Prevention (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (254 citations), Cardiology and Cardiovascular Medicine (161 citations) and Pulmonary and Respiratory Medicine (123 citations). J. S. Davies has collaborated with scholars based in United Kingdom, Singapore and Kuwait. Frequent co-authors include M. F. Scanlon, J. C. Smith, Marc Evans, John Cockcroft, Mousumi Biswas, Kevin J. Harrington, A. Norman, Peter Blake, Ian B. Wilkinson and David P. Dearnaley. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of the New York Academy of Sciences and Fertility and Sterility.
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.