Andrew R. Wood

53.6k total citations · 4 hit papers
79 papers, 4.8k citations indexed

About

Andrew R. Wood is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Andrew R. Wood has authored 79 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Genetics, 18 papers in Molecular Biology and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Andrew R. Wood's work include Genetic Associations and Epidemiology (32 papers), Obesity, Physical Activity, Diet (14 papers) and Genomics and Rare Diseases (9 papers). Andrew R. Wood is often cited by papers focused on Genetic Associations and Epidemiology (32 papers), Obesity, Physical Activity, Diet (14 papers) and Genomics and Rare Diseases (9 papers). Andrew R. Wood collaborates with scholars based in United Kingdom, United States and Australia. Andrew R. Wood's co-authors include Timothy M. Frayling, Michael N. Weedon, Joel N. Hirschhorn, Jian Yang, Robin N. Beaumont, Jessica Tyrrell, Kathryn E. Kemper, Peter M. Visscher, Julia Sidorenko and Zhili Zheng and has published in prestigious journals such as Nature Medicine, Nature Communications and Nature Genetics.

In The Last Decade

Andrew R. Wood

74 papers receiving 4.8k 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.

Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry

2018 1.3k citations Andrew R. Wood, Michael N. Weedon et al. Human Molecular Genetics profile →
Biological interpretation of genome-wide association studies using predicted gene functions

2015 359 citations Tune H. Pers, Juha Karjalainen et al. Nature Communications profile →
Estimating sleep parameters using an accelerometer without sleep diary

2018 322 citations Vincent T. van Hees, Sèverine Sabia et al. Scientific Reports profile →
Development and Standardization of an Improved Type 1 Diabetes Genetic Risk Score for Use in Newborn Screening and Incident Diagnosis

2019 206 citations Seth A. Sharp, Stephen S. Rich et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew R. Wood United Kingdom	32	2.2k	1.2k	798	718	458	79	4.8k
John R. B. Perry United Kingdom	30	2.6k 1.1×	1.4k 1.1×	542 0.7×	581 0.8×	292 0.6×	75	5.2k
Felix R. Day United Kingdom	27	2.3k 1.0×	1.1k 0.9×	562 0.7×	633 0.9×	243 0.5×	58	4.6k
Lloyd T. Elliott Canada	10	2.5k 1.1×	1.4k 1.2×	547 0.7×	392 0.5×	321 0.7×	25	5.4k
Kevin Sharp United States	11	2.7k 1.2×	1.5k 1.3×	539 0.7×	401 0.6×	327 0.7×	17	5.4k
Loïc Yengo Australia	31	2.6k 1.1×	1.3k 1.0×	553 0.7×	382 0.5×	367 0.8×	70	4.4k
Charles Laurin United States	9	2.6k 1.1×	1.3k 1.1×	629 0.8×	365 0.5×	487 1.1×	15	5.0k
Adrián Cortés United Kingdom	19	2.6k 1.2×	1.7k 1.4×	515 0.6×	404 0.6×	433 0.9×	30	6.0k
Mark Effingham United Kingdom	5	2.2k 1.0×	1.2k 1.0×	467 0.6×	403 0.6×	329 0.7×	7	4.6k
Gavin Band United Kingdom	7	2.7k 1.2×	1.3k 1.1×	460 0.6×	404 0.6×	326 0.7×	10	5.0k
Jared O’Connell United Kingdom	9	2.4k 1.1×	1.3k 1.1×	457 0.6×	381 0.5×	323 0.7×	13	4.8k

Countries citing papers authored by Andrew R. Wood

Since Specialization

Citations

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

Fields of papers citing papers by Andrew R. Wood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew R. Wood. 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 Andrew R. Wood. The network helps show where Andrew R. Wood may publish in the future.

Co-authorship network of co-authors of Andrew R. Wood

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew R. Wood. A scholar is included among the top collaborators of Andrew R. Wood 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 Andrew R. Wood. Andrew R. Wood 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

Chundru, V. Kartik, Leigh Jackson, Kashyap Patel, et al.. (2025). Whole-genome sequencing analysis identifies rare, large-effect noncoding variants and regulatory regions associated with circulating protein levels. Nature Genetics. 57(3). 626–634. 5 indexed citations

Gillett, Alexandra C., Harry Green, Andrew R. Wood, et al.. (2025). Evidence of bidirectional relationship between type 2 diabetes and depression; a Mendelian randomization study. Molecular Psychiatry. 30(11). 5013–5023.

Green, Harry, Ji Chen, Jonathan P Evans, et al.. (2024). Hyperglycaemia is a causal risk factor for upper limb pathologies. International Journal of Epidemiology. 53(1). 2 indexed citations

Beaumont, Robin N., et al.. (2024). Genetic modifiers of rare variants in monogenic developmental disorder loci. Nature Genetics. 56(5). 861–868. 11 indexed citations

Beaumont, Robin N., Jessica Tyrrell, Grace M. Power, et al.. (2023). Genetic evidence that high BMI in childhood has a protective effect on intermediate diabetes traits, including measures of insulin sensitivity and secretion, after accounting for BMI in adulthood. Diabetologia. 66(8). 1472–1480. 5 indexed citations

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

Vedantam, Sailaja, Eirini Marouli, Robin N. Beaumont, et al.. (2023). Identification and analysis of individuals who deviate from their genetically-predicted phenotype. PLoS Genetics. 19(9). e1010934–e1010934. 4 indexed citations

Weedon, Michael N., Samuel E. Jones, Jacqueline M. Lane, et al.. (2022). The impact of Mendelian sleep and circadian genetic variants in a population setting. PLoS Genetics. 18(9). e1010356–e1010356. 4 indexed citations

Green, Harry, Jonathan P Evans, Andrew R. Wood, et al.. (2021). A genome-wide association study identifies 5 loci associated with frozen shoulder and implicates diabetes as a causal risk factor. PLoS Genetics. 17(6). e1009577–e1009577. 32 indexed citations

10.

Thompson, William, Robin N. Beaumont, Alan Kuang, et al.. (2021). Fetal alleles predisposing to metabolically favorable adiposity are associated with higher birth weight. Human Molecular Genetics. 31(11). 1762–1775. 3 indexed citations

11.

Thompson, William, Robin N. Beaumont, Alan Kuang, et al.. (2021). Higher maternal adiposity reduces offspring birthweight if associated with a metabolically favourable profile. Diabetologia. 64(12). 2790–2802. 7 indexed citations

12.

Porcu, Eleonora, Marie C. Sadler, Kaido Lepik, et al.. (2021). Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome. Nature Communications. 12(1). 5647–5647. 63 indexed citations

13.

Casanova, Francesco, Samuel E. Jones, Saskia P. Hagenaars, et al.. (2021). Using Mendelian Randomisation methods to understand whether diurnal preference is causally related to mental health. Molecular Psychiatry. 26(11). 6305–6316. 26 indexed citations

14.

Howe, Laura D, Sean Harrison, Robin N. Beaumont, et al.. (2019). Effects of body mass index on relationship status, social contact and socio-economic position: Mendelian randomization and within-sibling study in UK Biobank. International Journal of Epidemiology. 49(4). 1173–1184. 37 indexed citations

15.

Dashti, Hassan S., Céline Vetter, Jacqueline M. Lane, et al.. (2019). Assessment of MTNR1B Type 2 Diabetes Genetic Risk Modification by Shift Work and Morningness-Eveningness Preference in the UK Biobank. Diabetes. 69(2). 259–266. 11 indexed citations

16.

Thompson, William, Jessica Tyrrell, Maria Carolina Borges, et al.. (2019). Association of maternal circulating 25(OH)D and calcium with birth weight: A mendelian randomisation analysis. PLoS Medicine. 16(6). e1002828–e1002828. 32 indexed citations

17.

Green, Harry, Robin N. Beaumont, Amanda Thomas, et al.. (2019). Genome-Wide Association Study of Microscopic Colitis in the UK Biobank Confirms Immune-Related Pathogenesis. Journal of Crohn s and Colitis. 13(12). 1578–1582. 31 indexed citations

18.

Hees, Vincent T. van, Sèverine Sabia, Samuel E. Jones, et al.. (2018). Estimating sleep parameters using an accelerometer without sleep diary. Scientific Reports. 8(1). 12975–12975. 322 indexed citations breakdown →

19.

Locke, Jonathan M., Cécile Saint‐Martin, Thomas W. Laver, et al.. (2018). The Common HNF1A Variant I27L Is a Modifier of Age at Diabetes Diagnosis in Individuals With HNF1A-MODY. Diabetes. 67(9). 1903–1907. 19 indexed citations

20.

Pers, Tune H., Juha Karjalainen, Yingleong Chan, et al.. (2015). Biological interpretation of genome-wide association studies using predicted gene functions. Nature Communications. 6(1). 5890–5890. 359 indexed citations breakdown →

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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