Ryan Sisk

1.2k total citations · 1 hit paper
16 papers, 411 citations indexed

About

Ryan Sisk is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ryan Sisk has authored 16 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Reproductive Medicine, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ryan Sisk's work include Ovarian function and disorders (11 papers), Reproductive Biology and Fertility (7 papers) and Hormonal and reproductive studies (5 papers). Ryan Sisk is often cited by papers focused on Ovarian function and disorders (11 papers), Reproductive Biology and Fertility (7 papers) and Hormonal and reproductive studies (5 papers). Ryan Sisk collaborates with scholars based in United States, Netherlands and Australia. Ryan Sisk's co-authors include Andrea Dunaif, Richard S. Legro, Margrit Urbanek, M. Geoffrey Hayes, Matthew Dapas, Frederick T. J. Lin, Girish N. Nadkarni, Lidija K. Gorsic, Jose M. Teixeira and Gülüm Kosova and has published in prestigious journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and PLoS Medicine.

In The Last Decade

Ryan Sisk

14 papers receiving 402 citations

Hit Papers

Distinct subtypes of polycystic ovary syndrome with novel... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan Sisk United States 9 339 252 77 76 66 16 411
Matthew Dapas United States 8 267 0.8× 197 0.8× 81 1.1× 49 0.6× 65 1.0× 13 374
Angela K. Chua United States 8 305 0.9× 241 1.0× 88 1.1× 48 0.6× 62 0.9× 8 389
Laura Torchen United States 9 214 0.6× 140 0.6× 30 0.4× 93 1.2× 61 0.9× 18 308
Arnaud Leclerc France 5 281 0.8× 269 1.1× 61 0.8× 30 0.4× 68 1.0× 5 383
Anne-Céline Reyss France 6 346 1.0× 411 1.6× 82 1.1× 47 0.6× 123 1.9× 10 479
Ali Aflatounian Australia 8 194 0.6× 134 0.5× 26 0.3× 42 0.6× 65 1.0× 14 307
S. Sadrzadeh Netherlands 5 477 1.4× 365 1.4× 72 0.9× 80 1.1× 88 1.3× 6 569
Obed Garcia United States 5 222 0.7× 187 0.7× 64 0.8× 21 0.3× 37 0.6× 9 263
Ulrika Selleskog Sweden 8 277 0.8× 274 1.1× 25 0.3× 103 1.4× 62 0.9× 12 359
Burak Hacıhanefioğlu Türkiye 7 246 0.7× 189 0.8× 24 0.3× 40 0.5× 79 1.2× 7 320

Countries citing papers authored by Ryan Sisk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan Sisk

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Sisk. A scholar is included among the top collaborators of Ryan Sisk 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 Ryan Sisk. Ryan Sisk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Brewer, Kelly, Graham D. Johnson, Alejandro Barrera, et al.. (2025). Gene regulatory activity associated with polycystic ovary syndrome revealed DENND1A-dependent testosterone production. Nature Communications. 16(1). 7697–7697.
2.
Patel, Sanjay, Kelly Brewer, Ryan Sisk, & Andrea Dunaif. (2025). SUN-164 Expanding the Genetic Landscape of PCOS: Novel and Shared Risk Loci in African Ancestry Populations. Journal of the Endocrine Society. 9(Supplement_1).
3.
Moolhuijsen, Loes M E, Kelly Brewer, Ryan Sisk, et al.. (2024). Clustering Identifies Subtypes With Different Phenotypic Characteristics in Women With Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 109(12). 3096–3107. 12 indexed citations
4.
Brewer, Kelly, Ryan Sisk, Hyejin Lee, et al.. (2023). OR20-02 Trans-Ethnic Analysis Of PCOS Subtype Genomewide Association Signals Reveals 3 Shared Subtype-Specific Loci. Journal of the Endocrine Society. 7(Supplement_1). 1 indexed citations
5.
Moolhuijsen, Loes M E, Kelly Brewer, Ryan Sisk, et al.. (2023). THU629 Cluster Analysis Identifies Distinct Subtypes Of PCOS. Journal of the Endocrine Society. 7(Supplement_1). 1 indexed citations
6.
Chan, Christine L., Laura Pyle, Laura Torchen, et al.. (2022). 11-Oxygenated Androgen Metabolite Concentrations Are Affected by Pubertal Progression and Obesity. Hormone Research in Paediatrics. 96(4). 412–422. 3 indexed citations
7.
Dapas, Matthew, Evanthia Diamanti‐Kandarakis, Andrea Dunaif, et al.. (2022). RF10 | PMON217 Replication of PCOS Reproductive and Metabolic Subtypes in Diverse Cohorts – Towards a Rationale Approach to PCOS Classification. Journal of the Endocrine Society. 6(Supplement_1). A711–A711. 2 indexed citations
8.
Moolhuijsen, Loes M E, Yvonne V. Louwers, Anke McLuskey, et al.. (2022). Association between an AMH promoter polymorphism and serum AMH levels in PCOS patients. Human Reproduction. 37(7). 1544–1556. 12 indexed citations
9.
Dapas, Matthew, Frederick T. J. Lin, Girish N. Nadkarni, et al.. (2020). Distinct subtypes of polycystic ovary syndrome with novel genetic associations: An unsupervised, phenotypic clustering analysis. PLoS Medicine. 17(6). e1003132–e1003132. 174 indexed citations breakdown →
10.
Moolhuijsen, Loes M E, Yvonne V. Louwers, Cindy Meun, et al.. (2020). Association between an AMH promoter polymorphism and serum AMH levels in PCOS patients. Endocrine Abstracts. 3 indexed citations
11.
Torchen, Laura, Ryan Sisk, Richard S. Legro, et al.. (2020). 11-Oxygenated C19 Steroids Do Not Distinguish the Hyperandrogenic Phenotype of PCOS Daughters from Girls with Obesity. The Journal of Clinical Endocrinology & Metabolism. 105(11). e3903–e3909. 17 indexed citations
12.
Dapas, Matthew, Ryan Sisk, Richard S. Legro, et al.. (2019). Family-Based Quantitative Trait Meta-Analysis Implicates Rare Noncoding Variants in DENND1A in Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 104(9). 3835–3850. 51 indexed citations
13.
Torchen, Laura, Joy N. Tsai, Ryan Sisk, et al.. (2019). Hyperandrogenemia is Common in Asymptomatic Women and is Associated with Increased Metabolic Risk. Obesity. 28(1). 106–113. 8 indexed citations
14.
Gorsic, Lidija K., Gülüm Kosova, Ryan Sisk, et al.. (2017). Pathogenic Anti-Müllerian Hormone Variants in Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 102(8). 2862–2872. 80 indexed citations
15.
Torchen, Laura, Ajay Kumar, Bhanu Kalra, et al.. (2016). Increased antimüllerian hormone levels and other reproductive endocrine changes in adult male relatives of women with polycystic ovary syndrome. Fertility and Sterility. 106(1). 50–55. 31 indexed citations
16.
Vellanki, Priyathama, Ryan Sisk, Loren L. Armstrong, et al.. (2014). Parent-of-Origin Effects on Glucose Homeostasis in Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 99(8). 2961–2966. 16 indexed citations

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.

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