Donald M. Lyall

9.9k total citations · 3 hit papers
118 papers, 4.9k citations indexed

About

Donald M. Lyall is a scholar working on Genetics, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Donald M. Lyall has authored 118 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 28 papers in Physiology and 22 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Donald M. Lyall's work include Genetic Associations and Epidemiology (30 papers), Dementia and Cognitive Impairment Research (14 papers) and Obesity, Physical Activity, Diet (13 papers). Donald M. Lyall is often cited by papers focused on Genetic Associations and Epidemiology (30 papers), Dementia and Cognitive Impairment Research (14 papers) and Obesity, Physical Activity, Diet (13 papers). Donald M. Lyall collaborates with scholars based in United Kingdom, Sweden and United States. Donald M. Lyall's co-authors include Jill P. Pell, Naveed Sattar, Daniel Mackay, Carlos Celis‐Morales, Jason M. R. Gill, Jana Anderson, Paul Welsh, Stuart R. Gray, Stamatina Iliodromiti and Daniel J. Smıth and has published in prestigious journals such as The Lancet, Circulation and Nature Medicine.

In The Last Decade

Donald M. Lyall

112 papers receiving 4.8k citations

Hit Papers

Associations of grip strength with cardiovascular, respir... 2017 2026 2020 2023 2018 2017 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donald M. Lyall United Kingdom 39 1.6k 974 738 579 544 118 4.9k
Thomas J. Littlejohns United Kingdom 20 978 0.6× 899 0.9× 506 0.7× 529 0.9× 822 1.5× 55 4.6k
Isabelle Carrière France 43 1.2k 0.8× 554 0.6× 511 0.7× 1.0k 1.8× 359 0.7× 135 5.6k
Sölve Elmståhl Sweden 44 1.3k 0.8× 1.2k 1.2× 890 1.2× 1.5k 2.6× 278 0.5× 267 7.8k
Fujiko Ando Japan 43 1.5k 1.0× 788 0.8× 311 0.4× 426 0.7× 366 0.7× 222 5.7k
Hiroshi Shimokata Japan 46 2.7k 1.7× 1.4k 1.4× 561 0.8× 900 1.6× 450 0.8× 314 8.3k
Weili Xu Sweden 45 2.2k 1.4× 1.3k 1.3× 666 0.9× 1.8k 3.2× 244 0.4× 203 6.7k
Claudio Macchi Italy 31 1.5k 1.0× 1.3k 1.3× 589 0.8× 756 1.3× 118 0.2× 172 5.4k
Fanny Petermann‐Rocha Chile 34 2.6k 1.6× 1.1k 1.1× 475 0.6× 397 0.7× 207 0.4× 250 4.8k
Marc M. Budge Australia 31 884 0.6× 610 0.6× 930 1.3× 1.2k 2.1× 299 0.5× 56 4.3k
Lisa H. Colbert United States 38 2.5k 1.6× 969 1.0× 748 1.0× 639 1.1× 177 0.3× 76 5.5k

Countries citing papers authored by Donald M. Lyall

Since Specialization
Citations

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

Fields of papers citing papers by Donald M. Lyall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald M. Lyall. 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 Donald M. Lyall. The network helps show where Donald M. Lyall may publish in the future.

Co-authorship network of co-authors of Donald M. Lyall

This figure shows the co-authorship network connecting the top 25 collaborators of Donald M. Lyall. A scholar is included among the top collaborators of Donald M. Lyall 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 Donald M. Lyall. Donald M. Lyall 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.
Aman, Alisha, Joey Ward, Jana Anderson, et al.. (2025). Association of GLP1R locus with mental ill‐health endophenotypes and cardiometabolic traits: A trans‐ancestry study in UK Biobank. Diabetes Obesity and Metabolism. 27(4). 1845–1858.
2.
Wardlaw, Joanna M., et al.. (2024). Clinical Phenotypes Associated with Cerebral Small Vessel Disease – An Overview of Systematic Reviews. SHILAP Revista de lepidopterología. 6. 100252–100252.
3.
Anderson, Jana, Mark E.S. Bailey, Claire L. Niedzwiedz, et al.. (2024). Genetic variation in circadian regulator gene BMAL1 in psychiatric, psychological and cardiometabolic traits: a trans-ancestry UK Biobank study. SHILAP Revista de lepidopterología. 27(1). e301267–e301267.
4.
Beydoun, May A., Hind A. Beydoun, Yi‐Han Hu, et al.. (2024). Helicobacter pylori, persistent infection burden and structural brain imaging markers. Brain Communications. 6(2). fcae088–fcae088. 3 indexed citations
5.
Ward, Joey, Rona J. Strawbridge, Carlos Celis‐Morales, et al.. (2024). How do lifestyle factors modify the association between genetic predisposition and obesity-related phenotypes? A 4-way decomposition analysis using UK Biobank. BMC Medicine. 22(1). 230–230. 7 indexed citations
6.
Lyall, Donald M., Andrey Kormilitzin, Claire Lancaster, et al.. (2023). Artificial intelligence for dementia—Applied models and digital health. Alzheimer s & Dementia. 19(12). 5872–5884. 30 indexed citations
7.
Ranson, Janice M., Magda Bucholc, Donald M. Lyall, et al.. (2023). Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Informatics. 10(1). 6–6. 12 indexed citations
8.
Beydoun, May A., Hind A. Beydoun, Marie Fanelli Kuczmarski, et al.. (2023). Pathways explaining racial/ethnic and socio-economic disparities in dementia incidence: the UK Biobank study. Aging. 15(18). 9310–9340. 14 indexed citations
9.
Stolicyn, Aleks, Laura M. Lyall, Donald M. Lyall, et al.. (2023). Comprehensive assessment of sleep duration, insomnia, and brain structure within the UK Biobank cohort. SLEEP. 47(2). 14 indexed citations
10.
Lyall, Laura M., Xingxing Zhu, Donald M. Lyall, et al.. (2023). Subjective and objective sleep and circadian parameters as predictors of depression-related outcomes: A machine learning approach in UK Biobank. Journal of Affective Disorders. 335. 83–94. 20 indexed citations
11.
Cullen, Breda, Marc J. Gameroff, Joey Ward, et al.. (2023). Cognitive Function in People With Familial Risk of Depression. JAMA Psychiatry. 80(6). 610–610. 4 indexed citations
12.
Aman, Alisha, Eric A. W. Slob, Joey Ward, et al.. (2022). Investigating the potential impact of PCSK9-inhibitors on mood disorders using eQTL-based Mendelian randomization. PLoS ONE. 17(12). e0279381–e0279381. 8 indexed citations
13.
Anderson, Jana, Frederick K. Ho, Claire L. Niedzwiedz, et al.. (2021). Remote history of VTE is associated with severe COVID‐19 in middle and older age: UK Biobank cohort study. Journal of Thrombosis and Haemostasis. 19(10). 2533–2538. 4 indexed citations
14.
Shen, Xueyi, Amelia Edmondson-Stait, Claire Green, et al.. (2021). Associations between major psychiatric disorder polygenic risk scores and blood-based markers in UK biobank. Brain Behavior and Immunity. 97. 32–41. 17 indexed citations
15.
Zhu, Xingxing, Joey Ward, Breda Cullen, et al.. (2021). Polygenic Risk for Schizophrenia, Brain Structure, and Environmental Risk in UK Biobank. Schizophrenia Bulletin Open. 2(1). 8 indexed citations
16.
Jani, Bhautesh, Barbara I. Nicholl, Peter Hanlon, et al.. (2021). Family history of diabetes and risk of SARS‐COV‐2 in UK Biobank: A prospective cohort study. Endocrinology Diabetes & Metabolism. 4(4). e00283–e00283. 1 indexed citations
17.
Ward, Joey, et al.. (2021). The association between C-reactive protein, mood disorder, and cognitive function in UK Biobank. European Psychiatry. 64(1). e14–e14. 25 indexed citations
18.
Hayes, Sara, John Forbes, Carlos Celis‐Morales, et al.. (2020). Association Between Walking Pace and Stroke Incidence. Stroke. 51(5). 1388–1395. 13 indexed citations
19.
Welsh, Paul, Claire Welsh, Carlos Celis‐Morales, et al.. (2020). Lipoprotein(a) and cardiovascular disease: prediction, attributable risk fraction and estimating benefits from novel interventions. European Heart Journal. 41(Supplement_2). 6 indexed citations
20.
Strawbridge, Rona J., Joey Ward, Mark E.S. Bailey, et al.. (2019). Carotid Intima-Media Thickness. Arteriosclerosis Thrombosis and Vascular Biology. 40(2). 446–461. 21 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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