I. JOHN DAVIES
- Genetics top 5%
- Reproductive Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Social Psychology top 5%
- Molecular Biology
- Co-authors
- Kenneth J. RyanJohn ChallisFrederick NaftolinL.R. WolinMatthew J. KuhnVenkata Ravi Prakash ReddyRobert J. WhiteZ. Petro
- Topics
- Estrogen and related hormone effects (13 papers)Reproductive System and Pregnancy (8 papers)Reproductive Physiology in Livestock (6 papers)
- Journals
- The LancetJournal of Clinical InvestigationThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
I. JOHN DAVIES
33 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Genetics 615
- Reproductive Medicine 498
- Endocrinology, Diabetes and Metabolism 367
- Social Psychology 294
- Molecular Biology 231
Countries citing papers authored by I. JOHN DAVIES
This map shows the geographic impact of I. JOHN 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 I. JOHN DAVIES with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. JOHN DAVIES more than expected).
Fields of papers citing papers by I. JOHN DAVIES
This network shows the impact of papers produced by I. JOHN 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 I. JOHN DAVIES. The network helps show where I. JOHN DAVIES may publish in the future.
Co-authorship network of co-authors of I. JOHN DAVIES
This figure shows the co-authorship network connecting the top 25 collaborators of I. JOHN DAVIES. A scholar is included among the top collaborators of I. JOHN 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 I. JOHN DAVIES. I. JOHN 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 | 14 | |
| 2 | 11 | |
| 3 | 23 | |
| 4 | 30 | |
| 5 | 99 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 77 | |
| 9 | 28 | |
| 10 | The Formation of Estrogens by Central Neuroendocrine Tissuesbreakdown → | 661 |
| 11 | 78 | |
| 12 | 11 | |
| 13 | 46 | |
| 14 | 14 | |
| 15 | 24 | |
| 16 | 182 | |
| 17 | 35 | |
| 18 | 49 | |
| 19 | 3 | |
| 20 | 16 |
About I. JOHN DAVIES
I. JOHN DAVIES is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Agronomy and Crop Science, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Reproductive System and Pregnancy (8 papers) and Reproductive Physiology in Livestock (6 papers). The work is most often cited by research in Behavioral Neuroscience (230 citations), Reproductive Medicine (498 citations) and Endocrinology, Diabetes and Metabolism (367 citations). I. JOHN DAVIES has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kenneth J. Ryan, John Challis, Frederick Naftolin, L.R. Wolin, Matthew J. Kuhn, Venkata Ravi Prakash Reddy, Robert J. White, Z. Petro, Yoshiro Takaoka and Francisco Flores. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.
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.