Tim Peakman
Impact in
- Genetics top 1%
- Genetic Associations and Epidemiology
- Health Informatics top 2%
Papers in
-
- Biotechnology and Related Fields 2
- Co-authors
- Tim Sprosen (3 shared papers)Paul M. Matthews (3 shared papers)Rory Collins (3 shared papers)Paul Downey (2 shared papers)John Danesh (2 shared papers)Cathie Sudlow (2 shared papers)Jill P. Pell (2 shared papers)John Gallacher (2 shared papers)
- Journals
- International Journal of Epidemiology (3 papers)Drug Discovery Today (3 papers)Clinical Chemistry (1 paper)PLoS ONE (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Tim Peakman
15 papers receiving 8.9k citations
Tim Peakman's Hit Papers
Peers
Comparison fields: 5 of 167
- Genetics 1.7k
- Health Informatics 59
- Physiology 1.1k
- Experimental and Cognitive Psychology 401
- Geriatrics and Gerontology 99
Countries citing papers authored by Tim Peakman
This map shows the geographic impact of Tim Peakman'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 Peakman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Peakman more than expected).
Fields of papers citing papers by Tim Peakman
This network shows the impact of papers produced by Tim Peakman. 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 Peakman. The network helps show where Tim Peakman may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Peakman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | 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 → | 2015 | 7317 |
| 2 | Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study Hit paper breakdown → | 2017 | 837 |
| 3 | 2012 | 359 | |
| 4 | 2005 | 169 | |
| 5 | 2013 | 163 | |
| 6 | 2017 | 51 | |
| 7 | 2012 | 26 | |
| 8 | 2008 | 19 | |
| 9 | 2014 | 19 | |
| 10 | 2003 | 17 | |
| 11 | 2014 | 11 | |
| 12 | 1989 | 9 | |
| 13 | 1999 | 5 | |
| 14 | 2000 | 2 | |
| 15 | 2001 | 1 |
About Tim Peakman
Tim Peakman is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Molecular Biology, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics, having authored 15 papers that have together received 9.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Health, Environment, Cognitive Aging (2 papers), Biotechnology and Related Fields (2 papers), Genetic Associations and Epidemiology (2 papers), Intellectual Property and Patents (1 paper), Neuroscience and Neural Engineering (1 paper), Science, Research, and Medicine (1 paper) and Nutrition, Genetics, and Disease (1 paper). The work is most often cited by research in Genetics (1.7k citations), Health Informatics (59 citations), Physiology (1.1k citations), Experimental and Cognitive Psychology (401 citations) and Geriatrics and Gerontology (99 citations). Tim Peakman has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Tim Sprosen, Paul M. Matthews, Rory Collins, Paul Downey, John Danesh, Cathie Sudlow, Jill P. Pell, John Gallacher, Naomi E. Allen and Paul Elliott. Their work appears in journals such as International Journal of Epidemiology, Drug Discovery Today, Clinical Chemistry, PLoS ONE and Annals of the New York Academy of Sciences.
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.