Tom Dent

1.3k citations
20 papers · 900 · 1 hit paper · h-index 10

Impact in

Papers in

Tom Dent

16 papers receiving 875 citations

Tom Dent's Hit Papers

Risk models and scores for type 2 diabetes: systematic review 2011 · 430 citations
4300+5+10Years since publication100200300400

Peers

Tom Dent
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 189
  • Genetics 268
  • Health Information Management 44
  • Oncology 116
  • Cancer Research 50
Replace Ghada N. Farhat with:
Ghada N. Farhat United States
Emmanuel Acheampong Ghana
Elvira D’Andrea United States
Frederick R. Jelovsek United States
Saravanan Jebarani India
Mona Aeysha Khalid United Kingdom
David E. Milov United States
Aaron B. Cohen United States
Gurvaneet Randhawa United States
Eleanor J. Hothersall United Kingdom
Tom Dent relative to Ghada N. Farhat United States Ghada N. Farhat's profile →
Citations per field
00.5×5.1×
Ghada N. Farhat · 1×
Citations per year

Countries citing papers authored by Tom Dent

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1
Risk models and scores for type 2 diabetes: systematic review
Hit paper breakdown →
2011430
2 2011118
3 201391
4 201366
5 201047
6 201344
7 201342
8 201321
9 201514
10 19979
11 20117
12 20204
13 20183
14
Public health implications of personalised screening for cancer: The First Collaborative Oncological Gene-environment Study (COGS) Workshop findings
20112
15 19761
16 19821
17 19800
18 19930
19 19840
20 20040

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 20 papers that have together received 900 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 (189 citations), Genetics (268 citations), Health Information Management (44 citations), Oncology (116 citations) and Cancer Research (50 citations). Tom Dent has collaborated with scholars based in United Kingdom, Sweden and Netherlands. Frequent co-authors include Trisha Greenhalgh, Rohini Mathur, Douglas Noble, Catherine Meads, 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 Public Health, African American Review and The Journal of Negro Education.

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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