Jennifer A. Collister

662 total citations · 1 hit paper
14 papers, 303 citations indexed

About

Jennifer A. Collister is a scholar working on Genetics, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jennifer A. Collister has authored 14 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Epidemiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jennifer A. Collister's work include Genetic Associations and Epidemiology (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Jennifer A. Collister is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Jennifer A. Collister collaborates with scholars based in United Kingdom, United States and Botswana. Jennifer A. Collister's co-authors include Lei Clifton, Xiaonan Liu, Thomas J. Littlejohns, David J. Hunter, Naomi E. Allen, Neo Tapela, Danial Qureshi, Elżbieta Kuźma, Iain Turnbull and Kazem Rahimi and has published in prestigious journals such as Nature Medicine, Scientific Reports and Heart.

In The Last Decade

Jennifer A. Collister

13 papers receiving 301 citations

Hit Papers

Integrating the environme... 2025 2026 2025 10 20 30
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Integrating the environmental and genetic architectures of aging and mortality
    2025 38 citations M. Austin Argentieri, Najaf Amin et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer A. Collister United Kingdom 9 69 60 56 47 42 14 303
Shucheng Si China 14 99 1.4× 57 0.9× 53 0.9× 76 1.6× 47 1.1× 30 401
Héléne T. Cronjé Denmark 12 68 1.0× 19 0.3× 57 1.0× 88 1.9× 36 0.9× 35 299
Shiqi Yuan China 13 17 0.2× 35 0.6× 66 1.2× 96 2.0× 38 0.9× 46 363
Chuan‐Wei Yang Taiwan 15 32 0.5× 58 1.0× 188 3.4× 69 1.5× 40 1.0× 31 460
Philip Chun-Ming Au Hong Kong 12 47 0.7× 64 1.1× 187 3.3× 38 0.8× 30 0.7× 15 415
Dylan Boyd United States 5 33 0.5× 39 0.7× 135 2.4× 69 1.5× 17 0.4× 6 327
Chih-Hsin Mou Taiwan 10 21 0.3× 27 0.5× 40 0.7× 25 0.5× 16 0.4× 20 304
Eirini Marouli United Kingdom 12 171 2.5× 41 0.7× 38 0.7× 86 1.8× 25 0.6× 29 444
Nathan Hamilton United States 4 40 0.6× 36 0.6× 95 1.7× 45 1.0× 48 1.1× 5 410
Zeinab Bidel United Kingdom 11 62 0.9× 169 2.8× 47 0.8× 40 0.9× 45 1.1× 22 384

Countries citing papers authored by Jennifer A. Collister

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. Collister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer A. Collister. 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 Jennifer A. Collister. The network helps show where Jennifer A. Collister may publish in the future.

Co-authorship network of co-authors of Jennifer A. Collister

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

All Works

14 of 14 papers shown
1.
Argentieri, M. Austin, Najaf Amin, Alejo Nevado‐Holgado, et al.. (2025). Integrating the environmental and genetic architectures of aging and mortality. Nature Medicine. 31(3). 1016–1025. 38 indexed citations breakdown →
2.
Collister, Jennifer A., Karl Smith-Byrne, Joshua H. Atkins, Gillian Reeves, & David J. Hunter. (2025). Meta-analysis of exome-wide gene burden analysis of breast cancer susceptibility genes. npj Breast Cancer. 11(1). 111–111.
3.
Collister, Jennifer A., et al.. (2024). Assessing the Value of Incorporating a Polygenic Risk Score with Nongenetic Factors for Predicting Breast Cancer Diagnosis in the UK Biobank. Cancer Epidemiology Biomarkers & Prevention. 33(6). 812–820. 5 indexed citations
4.
Clifton, Lei, et al.. (2024). Assessing the importance of primary care diagnoses in the UK Biobank. European Journal of Epidemiology. 39(2). 219–229. 8 indexed citations
5.
Liu, Xiaonan, Thomas J. Littlejohns, Jelena Bešević, et al.. (2024). Incorporating polygenic risk into the Leicester Risk Assessment score for 10-year risk prediction of type 2 diabetes. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 18(4). 102996–102996. 2 indexed citations
6.
Collister, Jennifer A., et al.. (2023). Polygenic Risk of Prediabetes, Undiagnosed Diabetes, and Incident Type 2 Diabetes Stratified by Diabetes Risk Factors. Journal of the Endocrine Society. 7(4). bvad020–bvad020. 7 indexed citations
7.
Collister, Jennifer A., et al.. (2023). Independent external validation of the QRISK3 cardiovascular disease risk prediction model using UK Biobank. Heart. 109(22). 1690–1697. 20 indexed citations
8.
Qureshi, Danial, Jennifer A. Collister, Naomi E. Allen, Elżbieta Kuźma, & Thomas J. Littlejohns. (2023). Association between metabolic syndrome and risk of incident dementia in UK Biobank. Alzheimer s & Dementia. 20(1). 447–458. 47 indexed citations
9.
Clifton, Lei, et al.. (2023). Kidney function, albuminuria, and their modification by genetic factors and risk of incident dementia in UK Biobank. Alzheimer s Research & Therapy. 15(1). 138–138. 7 indexed citations
10.
Littlejohns, Thomas J., Jennifer A. Collister, Xiaonan Liu, et al.. (2022). Hypertension, a dementia polygenic risk score, APOE genotype, and incident dementia. Alzheimer s & Dementia. 19(2). 467–476. 20 indexed citations
11.
Clifton, Lei, Jennifer A. Collister, Xiaonan Liu, Thomas J. Littlejohns, & David J. Hunter. (2022). Assessing agreement between different polygenic risk scores in the UK Biobank. Scientific Reports. 12(1). 12812–12812. 13 indexed citations
12.
Collister, Jennifer A., Xiaonan Liu, & Lei Clifton. (2022). Calculating Polygenic Risk Scores (PRS) in UK Biobank: A Practical Guide for Epidemiologists. Frontiers in Genetics. 13. 818574–818574. 91 indexed citations
13.
Tapela, Neo, Jennifer A. Collister, Xiaonan Liu, et al.. (2021). Are polygenic risk scores for systolic blood pressure and LDL-cholesterol associated with treatment effectiveness, and clinical outcomes among those on treatment?. European Journal of Preventive Cardiology. 29(6). 925–937. 8 indexed citations
14.
Tapela, Neo, Jennifer A. Collister, Lei Clifton, et al.. (2021). Prevalence and determinants of hypertension control among almost 100 000 treated adults in the UK. Open Heart. 8(1). e001461–e001461. 37 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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