Timothy D. Spector

44.3k total citations · 1 hit paper
81 papers, 4.5k citations indexed

About

Timothy D. Spector is a scholar working on Genetics, Molecular Biology and Rheumatology. According to data from OpenAlex, Timothy D. Spector has authored 81 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 23 papers in Molecular Biology and 12 papers in Rheumatology. Recurrent topics in Timothy D. Spector's work include Genetic Associations and Epidemiology (13 papers), Rheumatoid Arthritis Research and Therapies (9 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). Timothy D. Spector is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Rheumatoid Arthritis Research and Therapies (9 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). Timothy D. Spector collaborates with scholars based in United Kingdom, United States and Australia. Timothy D. Spector's co-authors include Alex J. MacGregor, Deborah Hart, Ana M. Valdes, Gregory Livshits, Ida Malkin, Christopher J. Hammond, Frances M. K. Williams, Philip N. Sambrook, Alireza Moayyeri and Maria Popham and has published in prestigious journals such as Nature Communications, Nature Genetics and Blood.

In The Last Decade

Timothy D. Spector

81 papers receiving 4.3k citations

Hit Papers

Lumbar disc degeneration and genetic factors are the main... 2011 2026 2016 2021 2011 100 200 300

Peers

Timothy D. Spector
Ingrid Meulenbelt Netherlands
H. A. Bird United Kingdom
Deborah Hart United Kingdom
David Doyle United Kingdom
Timothy D. Spector
Citations per year, relative to Timothy D. Spector Timothy D. Spector (= 1×) peers Santiago Palacios

Countries citing papers authored by Timothy D. Spector

Since Specialization
Citations

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

Fields of papers citing papers by Timothy D. Spector

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy D. Spector. 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 Timothy D. Spector. The network helps show where Timothy D. Spector may publish in the future.

Co-authorship network of co-authors of Timothy D. Spector

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy D. Spector. A scholar is included among the top collaborators of Timothy D. Spector 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 Timothy D. Spector. Timothy D. Spector 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.
Chen, Yan, Pirro G. Hysi, Carlo Maj, et al.. (2022). Genetic prediction of male pattern baldness based on large independent datasets. European Journal of Human Genetics. 31(3). 321–328. 13 indexed citations
2.
Schmidt, Victor T., Hagay Enav, Timothy D. Spector, Nicholas D. Youngblut, & Ruth E. Ley. (2020). Strain-Level Analysis of Bifidobacterium spp. from Gut Microbiomes of Adults with Differing Lactase Persistence Genotypes. mSystems. 5(5). 18 indexed citations
3.
Nag, Abhishek, Yuko Kurushima, Ruth C. E. Bowyer, et al.. (2020). Genome-wide scan identifies novel genetic loci regulating salivary metabolite levels. Human Molecular Genetics. 29(5). 864–875. 10 indexed citations
4.
Lukowski, Samuel W., Luke R. Lloyd‐Jones, Alexander Holloway, et al.. (2017). Genetic correlations reveal the shared genetic architecture of transcription in human peripheral blood. Nature Communications. 8(1). 483–483. 14 indexed citations
5.
Moayyeri, Alireza, Deborah Hart, Harold Snieder, et al.. (2016). Aging Trajectories in Different Body Systems Share Common Environmental Etiology: The Healthy Aging Twin Study (HATS). Twin Research and Human Genetics. 19(1). 27–34. 4 indexed citations
6.
Young, Aideen C. M., Karen Glaser, Timothy D. Spector, & Claire J. Steves. (2016). The Identification of Hereditary and Environmental Determinants of Frailty in a Cohort of UK Twins. Twin Research and Human Genetics. 19(6). 600–609. 41 indexed citations
7.
Agricola, Rintje, K.M. Leyland, Sita Bierma‐Zeinstra, et al.. (2015). Validation of statistical shape modelling to predict hip osteoarthritis in females: data from two prospective cohort studies (Cohort Hip and Cohort Knee and Chingford). Lara D. Veeken. 54(11). 2033–2041. 35 indexed citations
8.
Ribero, Simone, Daniel Glass, Abraham Aviv, Timothy D. Spector, & Véronique Bataille. (2015). Height and Bone Mineral Density Are Associated with Naevus Count Supporting the Importance of Growth in Melanoma Susceptibility. PLoS ONE. 10(1). e0116863–e0116863. 21 indexed citations
9.
MacArthur, Jacqueline A. L., Timothy D. Spector, Sarah Lindsay, et al.. (2014). The Rate of Nonallelic Homologous Recombination in Males Is Highly Variable, Correlated between Monozygotic Twins and Independent of Age. PLoS Genetics. 10(3). e1004195–e1004195. 23 indexed citations
10.
Vimaleswaran, Karani S., Alana Cavadino, Diane J. Berry, et al.. (2014). Interaction between allelic variations in vitamin D receptor and retinoid X receptor genes on metabolic traits. BMC Genetics. 15(1). 37–37. 13 indexed citations
11.
Burri, Andrea, Timothy D. Spector, & Qazi Rahman. (2013). A Discordant Monozygotic Twin Approach to Testing Environmental Influences on Sexual Dysfunction in Women. Archives of Sexual Behavior. 42(6). 961–972. 12 indexed citations
12.
Livshits, Gregory, Ida Malkin, Alireza Moayyeri, Timothy D. Spector, & Christopher J. Hammond. (2012). Association of FTO gene variants with body composition in UK twins. Annals of Human Genetics. 76(5). 333–341. 22 indexed citations
13.
Moayyeri, Alireza, Christopher J. Hammond, Deborah Hart, & Timothy D. Spector. (2012). The UK Adult Twin Registry (TwinsUK Resource). Twin Research and Human Genetics. 16(1). 144–149. 174 indexed citations
14.
Livshits, Gregory, Maria Popham, Ida Malkin, et al.. (2011). Lumbar disc degeneration and genetic factors are the main risk factors for low back pain in women: the UK Twin Spine Study. Annals of the Rheumatic Diseases. 70(10). 1740–1745. 366 indexed citations breakdown →
15.
Arora, Paul, Bibiana García‐Bailo, Zari Dastani, et al.. (2011). Genetic polymorphisms of innate immunity-related inflammatory pathways and their association with factors related to type 2 diabetes. BMC Medical Genetics. 12(1). 95–95. 55 indexed citations
16.
Njajou, Omer T., Elizabeth H. Blackburn, Ludmila Pawlikowska, et al.. (2010). A Common Variant in the Telomerase RNA Component Is Associated with Short Telomere Length. PLoS ONE. 5(9). e13048–e13048. 29 indexed citations
19.
Manek, Nisha J., Deborah Hart, Timothy D. Spector, & Alex J. MacGregor. (2003). The association of body mass index and osteoarthritis of the knee joint: An examination of genetic and environmental influences. Arthritis & Rheumatism. 48(4). 1024–1029. 181 indexed citations
20.
Spector, Timothy D.. (1991). The epidemiology of rheumatic diseases. Current Opinion in Rheumatology. 3(2). 266–271. 5 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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