David M. de Kretser
- Reproductive Medicine top 0.2%
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 5%
- Co-authors
- Robert I. McLachlanDavid RobertsonMark P. HedgerJ. B. KerrMoira K. O’BryanNigel G. WrefordKathryn A. RichHenry Burger
- Topics
- Sperm and Testicular Function (31 papers)TGF-β signaling in diseases (20 papers)Testicular diseases and treatments (13 papers)
- Cited by
- Reproductive MedicineEndocrinology, Diabetes and MetabolismPublic Health, Environmental and Occupational Health
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
David M. de Kretser
73 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 127
- Reproductive Medicine 1.7k
- Molecular Biology 1.3k
- Public Health, Environmental and Occupational Health 883
- Endocrinology, Diabetes and Metabolism 784
- Genetics 503
Countries citing papers authored by David M. de Kretser
This map shows the geographic impact of David M. de Kretser'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 David M. de Kretser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. de Kretser more than expected).
Fields of papers citing papers by David M. de Kretser
This network shows the impact of papers produced by David M. de Kretser. 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 David M. de Kretser. The network helps show where David M. de Kretser may publish in the future.
Co-authorship network of co-authors of David M. de Kretser
This figure shows the co-authorship network connecting the top 25 collaborators of David M. de Kretser. A scholar is included among the top collaborators of David M. de Kretser 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 David M. de Kretser. David M. de Kretser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 221 | |
| 2 | 16 | |
| 3 | 6 | |
| 4 | 17 | |
| 5 | 196 | |
| 6 | 91 | |
| 7 | 152 | |
| 8 | 98 | |
| 9 | 130 | |
| 10 | 178 | |
| 11 | 31 | |
| 12 | 102 | |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 36 | |
| 16 | 37 | |
| 17 | 90 | |
| 18 | 29 | |
| 19 | 56 | |
| 20 | 28 |
About David M. de Kretser
David M. de Kretser is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 73 papers that have together received 3.5k indexed citations. Recurring topics across this work include Sperm and Testicular Function (31 papers), TGF-β signaling in diseases (20 papers) and Testicular diseases and treatments (13 papers). The work is most often cited by research in Reproductive Medicine (1.7k citations), Endocrinology, Diabetes and Metabolism (784 citations) and Public Health, Environmental and Occupational Health (883 citations). David M. de Kretser has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Robert I. McLachlan, David Robertson, Mark P. Hedger, J. B. Kerr, Moira K. O’Bryan, Nigel G. Wreford, Kathryn A. Rich, Henry Burger, Stefan Schlatt and Sarah J. Meachem. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.