Robert F. Hillary

3.4k total citations · 1 hit paper
29 papers, 972 citations indexed

About

Robert F. Hillary is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Robert F. Hillary has authored 29 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Robert F. Hillary's work include Epigenetics and DNA Methylation (18 papers), Birth, Development, and Health (10 papers) and Genetic Associations and Epidemiology (5 papers). Robert F. Hillary is often cited by papers focused on Epigenetics and DNA Methylation (18 papers), Birth, Development, and Health (10 papers) and Genetic Associations and Epidemiology (5 papers). Robert F. Hillary collaborates with scholars based in United Kingdom, United States and Australia. Robert F. Hillary's co-authors include Una FitzGerald, Riccardo E. Marioni, Daniel L. McCartney, Andrew M. McIntosh, Kathryn L. Evans, Archie Campbell, Ian J. Deary, Rosie M. Walker, Anna J. Stevenson and Caroline Hayward and has published in prestigious journals such as Nature Medicine, Nature Communications and Biological Psychiatry.

In The Last Decade

Robert F. Hillary

28 papers receiving 967 citations

Hit Papers

Refining epigenetic prediction of chronological and biolo... 2023 2026 2024 2025 2023 20 40 60

Peers

Robert F. Hillary
Spencer Tung United States
David A. Buchner United States
Josine L. Min United Kingdom
Hannah R. Elliott United Kingdom
Michelle Stewart United States
Stewart W. Morris United Kingdom
Melissa Smart United Kingdom
Spencer Tung United States
Robert F. Hillary
Citations per year, relative to Robert F. Hillary Robert F. Hillary (= 1×) peers Spencer Tung

Countries citing papers authored by Robert F. Hillary

Since Specialization
Citations

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

Fields of papers citing papers by Robert F. Hillary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert F. Hillary. 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 Robert F. Hillary. The network helps show where Robert F. Hillary may publish in the future.

Co-authorship network of co-authors of Robert F. Hillary

This figure shows the co-authorship network connecting the top 25 collaborators of Robert F. Hillary. A scholar is included among the top collaborators of Robert F. Hillary 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 Robert F. Hillary. Robert F. Hillary 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.
Bernabeu, Elena, Paul Yousefi, Matthew Suderman, et al.. (2025). A blood- and brain-based EWAS of smoking. Nature Communications. 16(1). 3210–3210. 1 indexed citations
2.
McKinnon, K. I. M., Kadi Vaher, Robert F. Hillary, et al.. (2024). Epigenetic scores derived in saliva are associated with gestational age at birth. Clinical Epigenetics. 16(1). 84–84.
3.
Gadd, Danni A., Robert F. Hillary, Yipeng Cheng, et al.. (2024). Blood protein assessment of leading incident diseases and mortality in the UK Biobank. Nature Aging. 4(7). 939–948. 38 indexed citations
4.
Crofts, Samuel, Robert F. Hillary, Daniel J. Simpson, et al.. (2024). Probabilistic inference of epigenetic age acceleration from cellular dynamics. Nature Aging. 4(10). 1493–1507. 6 indexed citations
5.
Hillary, Robert F., Danni A. Gadd, Tin-Chi Lin, et al.. (2024). Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank. Nature Communications. 15(1). 7346–7346. 2 indexed citations
6.
Shen, Xueyi, Claire Green, Robert F. Hillary, et al.. (2023). Structural brain correlates of childhood trauma with replication across two large, independent community-based samples. European Psychiatry. 66(1). e19–e19. 9 indexed citations
7.
Hillary, Robert F., Daniel L. McCartney, Elena Bernabeu, et al.. (2023). Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals. PLoS Medicine. 20(7). e1004247–e1004247. 33 indexed citations
8.
Bernabeu, Elena, Daniel L. McCartney, Danni A. Gadd, et al.. (2023). Refining epigenetic prediction of chronological and biological age. Genome Medicine. 15(1). 12–12. 65 indexed citations breakdown →
9.
Hillary, Robert F., Archie Campbell, Lee Murphy, et al.. (2023). Integration of datasets for individual prediction of DNA methylation-based biomarkers. Genome biology. 24(1). 278–278. 1 indexed citations
10.
Hatton, Alesha, Robert F. Hillary, Elena Bernabeu, et al.. (2023). Blood-based genome-wide DNA methylation correlations across body-fat- and adiposity-related biochemical traits. The American Journal of Human Genetics. 110(9). 1564–1573. 2 indexed citations
11.
Robertson, Neil, Benjamin Livesey, Robert F. Hillary, et al.. (2022). Longitudinal dynamics of clonal hematopoiesis identifies gene-specific fitness effects. Nature Medicine. 28(7). 1439–1446. 59 indexed citations
12.
Hillary, Robert F., Daniel L. McCartney, Allan F. McRae, et al.. (2022). Identification of influential probe types in epigenetic predictions of human traits: implications for microarray design. Clinical Epigenetics. 14(1). 100–100. 4 indexed citations
13.
Hillary, Robert F., Danni A. Gadd, Daniel L. McCartney, et al.. (2022). Genome‐ and epigenome‐wide studies of plasma protein biomarkers for Alzheimer's disease implicate TBCA and TREM2 in disease risk. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 14(1). e12280–e12280. 5 indexed citations
14.
Stevenson, Anna J., Danni A. Gadd, Robert F. Hillary, et al.. (2021). Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6. The Journals of Gerontology Series A. 76(12). 2284–2292. 20 indexed citations
15.
Hillary, Robert F., et al.. (2021). The neuropathology of autism: A systematic review of post-mortem studies of autism and related disorders. Neuroscience & Biobehavioral Reviews. 129. 35–62. 84 indexed citations
16.
Gadd, Danni A., Anna J. Stevenson, Robert F. Hillary, et al.. (2021). Epigenetic predictors of lifestyle traits applied to the blood and brain. Brain Communications. 3(2). fcab082–fcab082. 6 indexed citations
17.
McCartney, Daniel L., Rosie M. Walker, Robert F. Hillary, et al.. (2020). Birth weight associations with DNA methylation differences in an adult population. Epigenetics. 16(7). 783–796. 16 indexed citations
18.
Hillary, Robert F., Daniel L. McCartney, Sarah E. Harris, et al.. (2019). Genome and epigenome wide studies of neurological protein biomarkers in the Lothian Birth Cohort 1936. Nature Communications. 10(1). 3160–3160. 36 indexed citations
19.
Gibson, Jude, Tom C. Russ, Toni‐Kim Clarke, et al.. (2019). A meta-analysis of genome-wide association studies of epigenetic age acceleration. PLoS Genetics. 15(11). e1008104–e1008104. 74 indexed citations
20.
Hillary, Robert F. & Una FitzGerald. (2018). A lifetime of stress: ATF6 in development and homeostasis. Journal of Biomedical Science. 25(1). 48–48. 196 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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