Tim Sprosen

18.1k citations
6 papers · 9.8k indexed · 2 hit papers · h-index 6

Tim Sprosen

6 papers receiving 9.8k citations

Hit Papers

Comparison of Sociodemographic and Health-Related Charact...2.4k20152026201820222.0k4.0k6.0k

Peers

Tim Sprosen
Comparison fields: 5 of 167
  • Genetics 2.7k
  • Geriatrics and Gerontology 277
  • Physiology 1.6k
  • Health Informatics 76
  • Health, Toxicology and Mutagenesis 746
Replace Jane Green with:
Jane Green United Kingdom
Tim Peakman United Kingdom
Martin Landray United Kingdom
Paul Downey Ireland
Giok Ong United Kingdom
Cathie Sudlow United Kingdom
Naomi E. Allen United Kingdom
Meike W. Vernooij Netherlands
Amit V. Khera United States
Themistocles L. Assimes United States
Tim Sprosen relative to Jane Green United Kingdom Jane Green's profile →
Citations per field
00.5×1.5×
Jane Green · 1×
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-authorship network

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 201836
2
Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Populationbreakdown →
20172354
3 201732
4
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Agebreakdown →
20156888
5 2012350
6 2005165

About Tim Sprosen

Tim Sprosen is a scholar working on Health, Toxicology and Mutagenesis, Organizational Behavior and Human Resource Management, Genetics, Public Health, Environmental and Occupational Health and General Health Professions, having authored 6 papers that have together received 9.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Health, Environment, Cognitive Aging (2 papers), Nutrition, Genetics, and Disease (1 paper), Ethics in Clinical Research (1 paper), Biomedical Ethics and Regulation (1 paper), Healthcare Policy and Management (1 paper), Nutritional Studies and Diet (1 paper) and Patient-Provider Communication in Healthcare (1 paper). The work is most often cited by research in Genetics (2.7k citations), Geriatrics and Gerontology (277 citations), Physiology (1.6k citations), Health Informatics (76 citations) and Health, Toxicology and Mutagenesis (746 citations). Tim Sprosen has collaborated with scholars based in United Kingdom, Australia and Qatar. Frequent co-authors include Naomi E. Allen, Cathie Sudlow, Tim Peakman, Jill P. Pell, Paul Downey, Rory Collins, Paul M. Matthews, John Gallacher, John Danesh and Paul Elliott. Their work appears in journals such as Pharmacogenomics, PLoS Medicine, Trials, Health Policy and Technology and American Journal of Epidemiology.

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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