John R. B. Perry

84.4k total citations · 4 hit papers
75 papers, 5.2k citations indexed

About

John R. B. Perry is a scholar working on Genetics, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, John R. B. Perry has authored 75 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Genetics, 28 papers in Molecular Biology and 11 papers in Reproductive Medicine. Recurrent topics in John R. B. Perry's work include Genetic Associations and Epidemiology (26 papers), Birth, Development, and Health (10 papers) and Epigenetics and DNA Methylation (9 papers). John R. B. Perry is often cited by papers focused on Genetic Associations and Epidemiology (26 papers), Birth, Development, and Health (10 papers) and Epigenetics and DNA Methylation (9 papers). John R. B. Perry collaborates with scholars based in United Kingdom, United States and Canada. John R. B. Perry's co-authors include Felix R. Day, Ken K. Ong, Benjamin M. Neale, Brendan Bulik‐Sullivan, Hilary K. Finucane, Po‐Ru Loh, Laramie E. Duncan, Elise Robinson, Alexander Gusev and Verneri Anttila and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John R. B. Perry

67 papers receiving 5.1k citations

Hit Papers

An atlas of genetic correlations across human diseases an... 2015 2026 2018 2022 2015 2015 2019 2025 500 1000 1.5k 2.0k

Peers

John R. B. Perry
Felix R. Day United Kingdom
Dale R. Nyholt Australia
Anna Murray United Kingdom
Benjamin Elsworth United Kingdom
Andrew R. Wood United Kingdom
Richa Saxena United States
Felix R. Day United Kingdom
John R. B. Perry
Citations per year, relative to John R. B. Perry John R. B. Perry (= 1×) peers Felix R. Day

Countries citing papers authored by John R. B. Perry

Since Specialization
Citations

This map shows the geographic impact of John R. B. Perry'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 John R. B. Perry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. B. Perry more than expected).

Fields of papers citing papers by John R. B. Perry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. B. Perry. 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 John R. B. Perry. The network helps show where John R. B. Perry may publish in the future.

Co-authorship network of co-authors of John R. B. Perry

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

All Works

20 of 20 papers shown
1.
Tyrer, Jonathan P., Joe Dennis, Xin Yang, et al.. (2025). Using Family History Data to Improve the Power of Association Studies: Application to Cancer in UK Biobank. Genetic Epidemiology. 49(1). e22609–e22609. 1 indexed citations
2.
Tyrer, Jonathan P., Joe Dennis, Xin Yang, et al.. (2025). The contribution of coding variants to the heritability of multiple cancer types using UK Biobank whole-exome sequencing data. The American Journal of Human Genetics. 112(4). 903–912.
3.
Lockhart, Sam, Brian Lam, Yajie Zhao, et al.. (2025). Effects of Rare Coding Variants in Severe Early-Onset Obesity Genes in the Population-Based UK Biobank Study. The Journal of Clinical Endocrinology & Metabolism. 110(11). e3774–e3782. 2 indexed citations
4.
Lockhart, Sam, Yajie Zhao, Vladimı́r Saudek, et al.. (2025). Rare Variants in HTRA1, SGTB, and RBM12 Confer Risk of Atherosclerotic Cardiovascular Disease Independent of Traditional Cardiovascular Risk Factors. Circulation Genomic and Precision Medicine. 18(6). e005233–e005233.
5.
Day, Felix R., et al.. (2025). Higher Circulating Testosterone Linked to Higher CAD Risk in Men: Mendelian Randomization and Survival Analyses. The Journal of Clinical Endocrinology & Metabolism. 111(4). e1029–e1036.
6.
7.
Mukhtar, Toqir K, Joe Dennis, Xin Yang, et al.. (2024). Protein-truncating and rare missense variants in ATM and CHEK2 and associations with cancer in UK Biobank whole-exome sequence data. Journal of Medical Genetics. 61(11). 1016–1022. 5 indexed citations
8.
Kentistou, Katherine A., et al.. (2024). Population-Based Study of Rare Coding Variants in NR5A1/SF-1. Journal of the Endocrine Society. 8(12). bvae178–bvae178. 2 indexed citations
9.
Mack, Jasmine A., Ulla Sovio, Felix R. Day, et al.. (2024). Genetic Variants Associated With Preeclampsia and Maternal Serum sFLT1 Levels. Hypertension. 82(5). 839–848.
10.
Kentistou, Katherine A., Marc Vaudel, Stasa Stankovic, et al.. (2024). Likely causal effects of insulin resistance and IGF-1 bioaction on childhood and adult adiposity: a Mendelian randomization study. International Journal of Obesity. 48(11). 1650–1655.
11.
Dearden, Laura, Isadora C. Furigo, Lucas C. Pantaleão, et al.. (2024). Maternal obesity increases hypothalamic miR-505-5p expression in mouse offspring leading to altered fatty acid sensing and increased intake of high-fat food. PLoS Biology. 22(6). e3002641–e3002641. 8 indexed citations
12.
Maharaj, Avinaash, Jack Williams, Katharina Schilbach, et al.. (2023). Characterization of dominant-negative growth hormone receptor variants reveals a potential therapeutic target for short stature. European Journal of Endocrinology. 188(4). 353–365.
13.
Brown, Derek W., Liam D. Cato, Yajie Zhao, et al.. (2023). Shared and distinct genetic etiologies for different types of clonal hematopoiesis. Nature Communications. 14(1). 5536–5536. 17 indexed citations
14.
Cai, Lina, Tomas I. Gonzales, Eleanor Wheeler, et al.. (2023). Causal associations between cardiorespiratory fitness and type 2 diabetes. Nature Communications. 14(1). 3904–3904. 25 indexed citations
15.
Anderson, Greg M., Jennifer W. Hill, Ursula B. Kaiser, et al.. (2023). Metabolic control of puberty: 60 years in the footsteps of Kennedy and Mitra’s seminal work. Nature Reviews Endocrinology. 20(2). 111–123. 24 indexed citations
16.
Olsen, Kristina Wendelboe, Juan Castillo‐Fernandez, Anne Zedeler, et al.. (2020). A distinctive epigenetic ageing profile in human granulosa cells. Human Reproduction. 35(6). 1332–1345. 33 indexed citations
17.
Ganna, Andrea, Karin J. H. Verweij, Michel G. Nivard, et al.. (2019). Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior. Science. 365(6456). 213 indexed citations breakdown →
18.
Burgess, Stephen, Deborah J. Thompson, Jessica M. B. Rees, et al.. (2017). Dissecting Causal Pathways Using Mendelian Randomization with Summarized Genetic Data: Application to Age at Menarche and Risk of Breast Cancer. Genetics. 207(2). 481–487. 135 indexed citations
19.
Prins, Bram P., Karoline Kuchenbaecker, Yanchun Bao, et al.. (2017). Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations. Scientific Reports. 7(1). 11008–11008. 67 indexed citations
20.
Rahmani, Maziar, Madalene A. Earp, Fahimeh Ramezani Tehrani, et al.. (2013). Shared genetic factors for age at natural menopause in Iranian and European women. Human Reproduction. 28(7). 1987–1994. 12 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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