Ann J. Conway
- Endocrinology, Diabetes and Metabolism top 0.5%
- Reproductive Medicine top 0.2%
- Molecular Biology top 10%
- Pharmacology top 1%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- David J. HandelsmanLyn M. BoylanLeo TurnerSharyn KelleherRobert I. McLachlanJohn R. TurtleLam P LySusan M. Wishart
- Topics
- Hormonal and reproductive studies (44 papers)Sperm and Testicular Function (19 papers)Sexual Differentiation and Disorders (19 papers)
- Journals
- New England Journal of MedicineAnnals of Internal MedicineThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Ann J. Conway
80 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Endocrinology, Diabetes and Metabolism 2.5k
- Reproductive Medicine 1.6k
- Molecular Biology 1.0k
- Pharmacology 661
- Public Health, Environmental and Occupational Health 615
Countries citing papers authored by Ann J. Conway
This map shows the geographic impact of Ann J. Conway'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 Ann J. Conway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann J. Conway more than expected).
Fields of papers citing papers by Ann J. Conway
This network shows the impact of papers produced by Ann J. Conway. 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 Ann J. Conway. The network helps show where Ann J. Conway may publish in the future.
Co-authorship network of co-authors of Ann J. Conway
This figure shows the co-authorship network connecting the top 25 collaborators of Ann J. Conway. A scholar is included among the top collaborators of Ann J. Conway 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 Ann J. Conway. Ann J. Conway is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Testosterone treatment to prevent or revert type 2 diabetes in men enrolled in a lifestyle programme (T4DM): a randomised, double-blind, placebo-controlled, 2-year, phase 3b trialbreakdown → | 213 |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 24 | |
| 9 | 26 | |
| 10 | 45 | |
| 11 | 6 | |
| 12 | 183 | |
| 13 | 184 | |
| 14 | 98 | |
| 15 | 41 | |
| 16 | 48 | |
| 17 | 160 | |
| 18 | 10 | |
| 19 | 25 | |
| 20 | 26 |
About Ann J. Conway
Ann J. Conway is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 81 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (44 papers), Sperm and Testicular Function (19 papers) and Sexual Differentiation and Disorders (19 papers). The work is most often cited by research in Reproductive Medicine (1.6k citations), Endocrinology, Diabetes and Metabolism (2.5k citations) and Pharmacology (661 citations). Ann J. Conway has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David J. Handelsman, Lyn M. Boylan, Leo Turner, Sharyn Kelleher, Robert I. McLachlan, John R. Turtle, Lam P Ly, Susan M. Wishart, Mark Jimenez and Peter Y. Liu. Their work appears in journals such as New England Journal of Medicine, Annals of Internal Medicine 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.