Tim Sprosen

6 papers receiving 10.5k citations

Tim Sprosen's Hit Papers

Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population 2017 · 2.5k citations
2.5k0+3+7Years since publication2.0k4.0k6.0k

Peers

Tim Sprosen
Comparison fields: 5 of 163
  • Genetics 2.1k
  • Health Informatics 81
  • Geriatrics and Gerontology 130
  • Physiology 967
  • Health, Toxicology and Mutagenesis 499
Replace Jane Green with:
Jane Green United Kingdom
Tim Peakman United Kingdom
Paul Downey Ireland
Martin Landray United Kingdom
Giok Ong United Kingdom
Cathie Sudlow United Kingdom
Tom R. Gaunt United Kingdom
Amit V. Khera United States
Gibran Hemani United Kingdom
Meike W. Vernooij Netherlands
Tim Sprosen relative to Jane Green United Kingdom Jane Green's profile →
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Citations per year

Countries citing papers authored by Tim Sprosen

Since Specialization
Citations

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

Fields of papers citing papers by Tim Sprosen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Sprosen. 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 Tim Sprosen. The network helps show where Tim Sprosen may publish in the future.

Co-authors

The 25 scholars most cited alongside Tim Sprosen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Sprosen Line = papers co-authored together Tim Sprosen links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
Hit paper breakdown →
20157449
2
Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population
Hit paper breakdown →
20172492
3 2012367
4 2005179
5 201839
6 201731

About Tim Sprosen

Tim Sprosen is a scholar working on Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Genetics, General Health Professions and Economics and Econometrics, having authored 6 papers that have together received 10.6k indexed citations. Recurring topics across this work include Health, Environment, Cognitive Aging (2 papers), Genetic Associations and Epidemiology (2 papers), Health Systems, Economic Evaluations, Quality of Life (1 paper), Healthcare Policy and Management (1 paper), Nutrition, Genetics, and Disease (1 paper), Ethics in Clinical Research (1 paper), Mental Health and Patient Involvement (1 paper) and Economic and Financial Impacts of Cancer (1 paper). The work is most often cited by research in Genetics (2.1k citations), Health Informatics (81 citations), Geriatrics and Gerontology (130 citations), Physiology (967 citations) and Health, Toxicology and Mutagenesis (499 citations). Tim Sprosen has collaborated with scholars based in United Kingdom, Australia and Qatar. Frequent co-authors include Cathie Sudlow, Naomi E. Allen, Tim Peakman, John Danesh, Paul Elliott, Paul Downey, Paul M. Matthews, John Gallacher, Rory Collins and Jill P. Pell. Their work appears in journals such as Pharmacogenomics, Health Expectations, PLoS Medicine, American Journal of Epidemiology and Health Policy and Technology.

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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