Eugene J. Gardner

27.0k total citations
24 papers, 769 citations indexed

About

Eugene J. Gardner is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Eugene J. Gardner has authored 24 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 13 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Eugene J. Gardner's work include Genetic Associations and Epidemiology (7 papers), Genomics and Rare Diseases (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Eugene J. Gardner is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genomics and Rare Diseases (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Eugene J. Gardner collaborates with scholars based in United Kingdom, United States and Germany. Eugene J. Gardner's co-authors include Scott E. Devine, Nelson T. Chuang, Emma Scott, Ashiq Masood, Paula M. Vertino, Joseph G. Gall, Zehra F. Nizami, C. Conover Talbot, Daniel Harris and Ryan E. Mills and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Eugene J. Gardner

20 papers receiving 760 citations

Peers

Eugene J. Gardner

GENET

PHEOH

Lars L. P. Hanssen United Kingdom

Carolina Sismani Cyprus

Yilu Lu China

E. Christopher Partridge United States

Céline Morey France

Ercole Rao Germany

Lijun Xiong China

Kathryn Woodfine United Kingdom

Bracha Erlanger United States

Danuta Galetzka Germany

Lars L. P. Hanssen United Kingdom

Eugene J. Gardner

1.1k ×1.9

190 ×0.6

189 ×0.7

GENET

66 ×0.5

52 ×1.6

PHEOH

Citations per year, relative to Eugene J. Gardner Eugene J. Gardner (= 1×) peers Lars L. P. Hanssen

Countries citing papers authored by Eugene J. Gardner

Since Specialization

Citations

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

Fields of papers citing papers by Eugene J. Gardner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene J. Gardner. 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 Eugene J. Gardner. The network helps show where Eugene J. Gardner may publish in the future.

Co-authorship network of co-authors of Eugene J. Gardner

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

All Works

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20 of 20 papers shown

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

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.

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

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.

Chen, Jianhua, Sam Lockhart, Brian Lam, et al.. (2025). Bidirectional Mendelian Randomization Indicates Causal Relationships Between Circulating Branched-Chain Amino Acids and Metabolic Health. Diabetes. 74(10). 1863–1872.

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

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

Lam, Brian, Georgina K.C. Dowsett, Pablo B. Martínez de Morentin, et al.. (2024). Loss of GPR75 protects against non-alcoholic fatty liver disease and body fat accumulation. Cell Metabolism. 36(5). 1076–1087.e4. 12 indexed citations

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

10.

Shekari, Saleh, Stasa Stankovic, Eugene J. Gardner, et al.. (2023). Penetrance of pathogenic genetic variants associated with premature ovarian insufficiency. Nature Medicine. 29(7). 1692–1699. 32 indexed citations

11.

Kentistou, Katherine A., Stasa Stankovic, Eugene J. Gardner, et al.. (2023). Large-scale exome sequence analysis identifies sex- and age-specific determinants of obesity. Cell Genomics. 3(8). 100362–100362. 25 indexed citations

12.

Radford, Elizabeth J., Malin H. L. Andersson, James Stephenson, et al.. (2023). Saturation genome editing of DDX3X clarifies pathogenicity of germline and somatic variation. Nature Communications. 14(1). 7702–7702. 24 indexed citations

13.

Gardner, Eugene J., Katherine A. Kentistou, Stasa Stankovic, et al.. (2022). Damaging missense variants in IGF1R implicate a role for IGF-1 resistance in the etiology of type 2 diabetes. Cell Genomics. 2(12). 100208–100208. 17 indexed citations

14.

Zhao, Yajie, Eugene J. Gardner, Marcus A. Tuke, et al.. (2022). Detection and characterization of male sex chromosome abnormalities in the UK Biobank study. Genetics in Medicine. 24(9). 1909–1919. 27 indexed citations

15.

Gardner, Eugene J., Alejandro Sifrim, Sarah Lindsay, et al.. (2021). Detecting cryptic clinically relevant structural variation in exome-sequencing data increases diagnostic yield for developmental disorders. The American Journal of Human Genetics. 108(11). 2186–2194. 11 indexed citations

16.

Chuang, Nelson T., Eugene J. Gardner, Jonathan Crabtree, et al.. (2021). Mutagenesis of human genomes by endogenous mobile elements on a population scale. Genome Research. 31(12). 2225–2235. 15 indexed citations

17.

Gardner, Eugene J., Elena Prigmore, Giuseppe Gallone, et al.. (2019). Contribution of retrotransposition to developmental disorders. Nature Communications. 10(1). 4630–4630. 39 indexed citations

18.

Gardner, Eugene J., Vincent Kwok Lim Lam, Daniel Harris, et al.. (2017). The Mobile Element Locator Tool (MELT): population-scale mobile element discovery and biology. Genome Research. 27(11). 1916–1929. 205 indexed citations

19.

Scott, Emma, Eugene J. Gardner, Ashiq Masood, et al.. (2016). A hot L1 retrotransposon evades somatic repression and initiates human colorectal cancer. Genome Research. 26(6). 745–755. 183 indexed citations

20.

Gardner, Eugene J., Zehra F. Nizami, C. Conover Talbot, & Joseph G. Gall. (2012). Stable intronic sequence RNA (sisRNA), a new class of noncoding RNA from the oocyte nucleus of Xenopus tropicalis. Genes & Development. 26(22). 2550–2559. 120 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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