Ryan Sisk
Impact in
- Reproductive Medicine top 2%
- Ovarian function and disorders
- Ovarian cancer diagnosis and treatment
- Sperm and Testicular Function
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- Reproductive Biology and Fertility
Papers in
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- Ovarian function and disorders 11
- Sperm and Testicular Function 2
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- Reproductive Biology and Fertility 7
- Co-authors
- Andrea Dunaif (16 shared papers)Richard S. Legro (7 shared papers)M. Geoffrey Hayes (5 shared papers)Margrit Urbanek (5 shared papers)Matthew Dapas (5 shared papers)Girish N. Nadkarni (2 shared papers)Frederick T. J. Lin (1 shared paper)Lidija K. Gorsic (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (5 papers)Hormone Research in Paediatrics (1 paper)Human Reproduction (1 paper)PLoS Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Ryan Sisk
14 papers receiving 402 citations
Ryan Sisk's Hit Papers
Peers
Comparison fields: 5 of 53
- Reproductive Medicine 339
- Public Health, Environmental and Occupational Health 252
- Endocrinology, Diabetes and Metabolism 76
- Genetics 77
- Obstetrics and Gynecology 17
Countries citing papers authored by Ryan Sisk
This map shows the geographic impact of Ryan Sisk'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 Ryan Sisk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Sisk more than expected).
Fields of papers citing papers by Ryan Sisk
This network shows the impact of papers produced by Ryan Sisk. 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 Ryan Sisk. The network helps show where Ryan Sisk may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Sisk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Distinct subtypes of polycystic ovary syndrome with novel genetic associations: An unsupervised, phenotypic clustering analysis Hit paper breakdown → | 2020 | 174 |
| 2 | 2017 | 80 | |
| 3 | 2019 | 51 | |
| 4 | 2016 | 31 | |
| 5 | 2020 | 17 | |
| 6 | 2014 | 16 | |
| 7 | 2024 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2019 | 8 | |
| 10 | 2022 | 3 | |
| 11 | 2020 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Ryan Sisk
Ryan Sisk is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 16 papers that have together received 411 indexed citations. Recurring topics across this work include Ovarian function and disorders (11 papers), Reproductive Biology and Fertility (7 papers), Hormonal and reproductive studies (5 papers), Sexual Differentiation and Disorders (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic Associations and Epidemiology (2 papers), Sperm and Testicular Function (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Reproductive Medicine (339 citations), Public Health, Environmental and Occupational Health (252 citations), Endocrinology, Diabetes and Metabolism (76 citations), Genetics (77 citations) and Obstetrics and Gynecology (17 citations). Ryan Sisk has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Andrea Dunaif, Richard S. Legro, M. Geoffrey Hayes, Margrit Urbanek, Matthew Dapas, Girish N. Nadkarni, Frederick T. J. Lin, Lidija K. Gorsic, Jose M. Teixeira and Gülüm Kosova. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hormone Research in Paediatrics, Human Reproduction, PLoS Medicine and Nature Communications.
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.