Tom Dent
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Education
-
- Artificial Intelligence in Healthcare
Papers in
- Genetics 7
- BRCA gene mutations in cancer 7
- Nutrition, Genetics, and Disease 3
- Genomics and Rare Diseases 1
-
- Ethics in Clinical Research 2
- Obesity, Physical Activity, Diet 1
- Health Promotion and Cardiovascular Prevention 1
- Co-authors
- Douglas Noble (1 shared paper)Catherine Meads (1 shared paper)Trisha Greenhalgh (1 shared paper)Rohini Mathur (1 shared paper)Susmita Chowdhury (8 shared papers)Nora Pashayan (8 shared papers)Paul D.P. Pharoah (8 shared papers)Alison Hall (7 shared papers)
- Journals
- Public Health Genomics (2 papers)BMJ Supportive & Palliative Care (1 paper)Journal of Personalized Medicine (1 paper)Genetics in Medicine (1 paper)Journal of Internal Medicine (1 paper)
- Partner nations
- United KingdomSwedenNetherlands
In The Last Decade
Tom Dent
16 papers receiving 847 citations
Tom Dent's Hit Papers
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 180
- Health Information Management 43
- Genetics 259
- Oncology 112
- Cancer Research 48
Countries citing papers authored by Tom Dent
This map shows the geographic impact of Tom Dent'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 Tom Dent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Dent more than expected).
Fields of papers citing papers by Tom Dent
This network shows the impact of papers produced by Tom Dent. 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 Tom Dent. The network helps show where Tom Dent may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Dent, 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 | Risk models and scores for type 2 diabetes: systematic review Hit paper breakdown → | 2011 | 415 |
| 2 | 2011 | 114 | |
| 3 | 2013 | 89 | |
| 4 | 2013 | 63 | |
| 5 | 2010 | 45 | |
| 6 | 2013 | 43 | |
| 7 | 2013 | 41 | |
| 8 | 2013 | 21 | |
| 9 | 2015 | 13 | |
| 10 | 1997 | 8 | |
| 11 | 2011 | 7 | |
| 12 | 2020 | 4 | |
| 13 | 2018 | 3 | |
| 14 | Public health implications of personalised screening for cancer: The First Collaborative Oncological Gene-environment Study (COGS) Workshop findings | 2011 | 2 |
| 15 | 1976 | 1 | |
| 16 | 1982 | 1 | |
| 17 | 1993 | 0 | |
| 18 | 1984 | 0 | |
| 19 | 2004 | 0 |
About Tom Dent
Tom Dent is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Oncology, Cancer Research and Molecular Biology, having authored 19 papers that have together received 870 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (7 papers), Nutrition, Genetics, and Disease (3 papers), Cancer Genomics and Diagnostics (2 papers), Ethics in Clinical Research (2 papers), Global Cancer Incidence and Screening (2 papers), Genomics and Rare Diseases (1 paper), Obesity, Physical Activity, Diet (1 paper) and Health Promotion and Cardiovascular Prevention (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (180 citations), Health Information Management (43 citations), Genetics (259 citations), Oncology (112 citations) and Cancer Research (48 citations). Tom Dent has collaborated with scholars based in United Kingdom, Sweden and Netherlands. Frequent co-authors include Douglas Noble, Catherine Meads, Trisha Greenhalgh, Rohini Mathur, Susmita Chowdhury, Nora Pashayan, Paul D.P. Pharoah, Alison Hall, H. Burton and Hilary Burton. Their work appears in journals such as Public Health Genomics, BMJ Supportive & Palliative Care, Journal of Personalized Medicine, Genetics in Medicine and Journal of Internal Medicine.
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.