Eleanor Davies
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Surgery top 5%
- Molecular Biology top 10%
- Pharmacology top 2%
- Co-authors
- John ConnellRobert FraserScott M. MacKenzieÉric ClauserM IngramNiall AndersonPierre CorvolCaroline Morrison
- Topics
- Hormonal Regulation and Hypertension (61 papers)Adrenal Hormones and Disorders (18 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (17 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismBehavioral NeuroscienceCardiology and Cardiovascular Medicine
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Eleanor Davies
76 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Endocrinology, Diabetes and Metabolism 2.5k
- Cardiology and Cardiovascular Medicine 1.3k
- Surgery 871
- Molecular Biology 796
- Pharmacology 527
Countries citing papers authored by Eleanor Davies
This map shows the geographic impact of Eleanor 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 Eleanor Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eleanor Davies more than expected).
Fields of papers citing papers by Eleanor Davies
This network shows the impact of papers produced by Eleanor 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 Eleanor Davies. The network helps show where Eleanor Davies may publish in the future.
Co-authorship network of co-authors of Eleanor Davies
This figure shows the co-authorship network connecting the top 25 collaborators of Eleanor Davies. A scholar is included among the top collaborators of Eleanor 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 Eleanor Davies. Eleanor 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 | 0 | |
| 2 | 11 | |
| 3 | 8 | |
| 4 | 32 | |
| 5 | 7 | |
| 6 | 67 | |
| 7 | 6 | |
| 8 | Acute aldosterone responses to ACTH predict both cortisol responses and blood pressure | 2 |
| 9 | 25 | |
| 10 | 14 | |
| 11 | 85 | |
| 12 | Transcription of corticosteroidogenic genes in human cerebellum and hippocampus | 1 |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 20 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 2 |
About Eleanor Davies
Eleanor Davies is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Biochemistry, having authored 80 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (61 papers), Adrenal Hormones and Disorders (18 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.5k citations), Behavioral Neuroscience (327 citations) and Cardiology and Cardiovascular Medicine (1.3k citations). Eleanor Davies has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include John Connell, Robert Fraser, Scott M. MacKenzie, Éric Clauser, M Ingram, Niall Anderson, Pierre Corvol, Caroline Morrison, Alain Bonnardeaux and Florent Soubrier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation Research and Endocrine Reviews.
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.