Luke C. Pilling

9.6k total citations · 1 hit paper
80 papers, 2.8k citations indexed

About

Luke C. Pilling is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Luke C. Pilling has authored 80 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 23 papers in Physiology and 18 papers in Genetics. Recurrent topics in Luke C. Pilling's work include Iron Metabolism and Disorders (10 papers), Nutrition and Health in Aging (10 papers) and Genetics, Aging, and Longevity in Model Organisms (9 papers). Luke C. Pilling is often cited by papers focused on Iron Metabolism and Disorders (10 papers), Nutrition and Health in Aging (10 papers) and Genetics, Aging, and Longevity in Model Organisms (9 papers). Luke C. Pilling collaborates with scholars based in United Kingdom, United States and Italy. Luke C. Pilling's co-authors include David Melzer, Luigi Ferrucci, George A. Kuchel, Janice L. Atkins, Chia‐Ling Kuo, Jane Masoli, João Delgado, Lorna W. Harries, Stefania Bandinelli and Morgan E. Levine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and PLoS ONE.

In The Last Decade

Luke C. Pilling

79 papers receiving 2.7k citations

Hit Papers

align trajectories

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.

A genome‐wide association study of the frailty index highlights brain pathways in ageing

2021 179 citations Janice L. Atkins, Juulia Jylhävä et al. Aging Cell profile →

Peers

Luke C. Pilling

PHYSI

NEURO

GENET

Jackie A. Cooper United Kingdom

Stella Trompet Netherlands

James G. Wilson United States

Yimin Zhu China

Pedro Abreu-González Spain

Ruth Frikke‐Schmidt Denmark

Mao‐Meng Tiao Taiwan

Fabio Monzani Italy

Ryan Langdon United Kingdom

James Yarmolinsky United Kingdom

Jackie A. Cooper United Kingdom

Luke C. Pilling

759 ×1.1

854 ×1.4

PHYSI

122 ×0.4

121 ×0.4

NEURO

914 ×2.9

GENET

Citations per year, relative to Luke C. Pilling Luke C. Pilling (= 1×) peers Jackie A. Cooper

Countries citing papers authored by Luke C. Pilling

Since Specialization

Citations

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

Fields of papers citing papers by Luke C. Pilling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke C. Pilling. 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 Luke C. Pilling. The network helps show where Luke C. Pilling may publish in the future.

Co-authorship network of co-authors of Luke C. Pilling

This figure shows the co-authorship network connecting the top 25 collaborators of Luke C. Pilling. A scholar is included among the top collaborators of Luke C. Pilling 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 Luke C. Pilling. Luke C. Pilling 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

Kuo, Chia‐Ling, Eero Vuoksimaa, Jaakko Kaprio, et al.. (2025). A proteomic signature of healthspan. Proceedings of the National Academy of Sciences. 122(23). e2414086122–e2414086122. 4 indexed citations

Kuo, Chia‐Ling, Luke C. Pilling, Janice L. Atkins, et al.. (2024). Proteomic aging clock ( PAC ) predicts age‐related outcomes in middle‐aged and older adults. Aging Cell. 23(8). e14195–e14195. 18 indexed citations

Bowden, Jack, et al.. (2024). SLCO1B1 Exome Sequencing and Statin Treatment Response in 64,000 UK Biobank Patients. International Journal of Molecular Sciences. 25(8). 4426–4426. 1 indexed citations

Tian, Qu, Yong Qian, Luke C. Pilling, et al.. (2023). Mitochondrial DNA copy number predicts dementia risk with early mobility impairment. Alzheimer s & Dementia. 19(S12). 2 indexed citations

Kuo, Chia‐Ling, Ben Kirk, Luke C. Pilling, et al.. (2023). Very Low and High Levels of Vitamin D Are Associated with Shorter Leukocyte Telomere Length in 148,321 UK Biobank Participants. Nutrients. 15(6). 1474–1474. 3 indexed citations

Pilling, Luke C., David Melzer, Ben Kirk, et al.. (2023). Does physical activity moderate the association between shorter leukocyte telomere length and incident coronary heart disease? Data from 54,180 UK Biobank participants. GeroScience. 46(1). 1331–1342. 2 indexed citations

Masoli, Jane, João Delgado, Chia‐Ling Kuo, et al.. (2022). Calcium‐channel blockers: Clinical outcome associations with reported pharmacogenetics variants in 32 000 patients. British Journal of Clinical Pharmacology. 89(2). 853–864. 9 indexed citations

Atkins, Janice L., Luke C. Pilling, Suzy V. Torti, et al.. (2022). Hereditary Hemochromatosis Variant Associations with Incident Nonliver Malignancies: 11-Year Follow-up in UK Biobank. Cancer Epidemiology Biomarkers & Prevention. 31(9). 1780–1787. 5 indexed citations

Masoli, Jane, et al.. (2022). Statin treatment effectiveness and the SLCO1B1 *5 reduced function genotype: Long‐term outcomes in women and men. British Journal of Clinical Pharmacology. 88(7). 3230–3240. 9 indexed citations

10.

Atkins, Janice L., Juulia Jylhävä, Nancy L. Pedersen, et al.. (2021). A genome‐wide association study of the frailty index highlights brain pathways in ageing. Aging Cell. 20(9). e13459–e13459. 179 indexed citations breakdown →

11.

Kuo, Chia‐Ling, Luke C. Pilling, Zuyun Liu, Janice L. Atkins, & Morgan E. Levine. (2021). Genetic associations for two biological age measures point to distinct aging phenotypes. Aging Cell. 20(6). e13376–e13376. 96 indexed citations

12.

Pilling, Luke C., Janice L. Atkins, João Delgado, et al.. (2021). Analysis of CYP2C19 genetic variants with ischaemic events in UK patients prescribed clopidogrel in primary care: a retrospective cohort study. BMJ Open. 11(12). e053905–e053905. 6 indexed citations

13.

Kuo, Chia‐Ling, Luke C. Pilling, Janice L. Atkins, et al.. (2021). Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants. The Journals of Gerontology Series A. 76(8). e133–e141. 36 indexed citations

14.

Bowden, Jack, et al.. (2021). The Triangulation WIthin a STudy (TWIST) framework for causal inference within pharmacogenetic research. PLoS Genetics. 17(9). e1009783–e1009783. 12 indexed citations

15.

Kuo, Chia‐Ling, Luke C. Pilling, Janice L. Atkins, et al.. (2020). APOE e4 Genotype Predicts Severe COVID-19 in the UK Biobank Community Cohort. The Journals of Gerontology Series A. 75(11). 2231–2232. 260 indexed citations

16.

Atkins, Janice L., Jane Masoli, João Delgado, et al.. (2020). Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort. The Journals of Gerontology Series A. 75(11). 2224–2230. 323 indexed citations

17.

Pilling, Luke C., Lindsay Jones, Jane Masoli, et al.. (2020). Low Vitamin D Levels and Risk of Incident Delirium in 351,000 Older UK Biobank Participants. Journal of the American Geriatrics Society. 69(2). 365–372. 24 indexed citations

18.

Bowman, Kirsty, Lindsay Jones, Luke C. Pilling, et al.. (2019). Vitamin D levels and risk of delirium. Neurology. 92(12). e1387–e1394. 40 indexed citations

19.

Pilling, Luke C., Janice L. Atkins, Michael O. Duff, et al.. (2017). Red blood cell distribution width: Genetic evidence for aging pathways in 116,666 volunteers. PLoS ONE. 12(9). e0185083–e0185083. 55 indexed citations

20.

Holly, Alice C., David Melzer, Luke C. Pilling, et al.. (2013). Towards a gene expression biomarker set for human biological age. Aging Cell. 12(2). 324–326. 49 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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