Tom Dent

1.3k total citations · 1 hit paper
18 papers, 890 citations indexed

About

Tom Dent is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Tom Dent has authored 18 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Oncology. Recurrent topics in Tom Dent's work include BRCA gene mutations in cancer (8 papers), Genetic Associations and Epidemiology (4 papers) and Global Cancer Incidence and Screening (4 papers). Tom Dent is often cited by papers focused on BRCA gene mutations in cancer (8 papers), Genetic Associations and Epidemiology (4 papers) and Global Cancer Incidence and Screening (4 papers). Tom Dent collaborates with scholars based in United Kingdom, Netherlands and Sweden. Tom Dent's co-authors include Douglas Noble, Catherine Meads, Trisha Greenhalgh, Rohini Mathur, Paul D.P. Pharoah, Nora Pashayan, Susmita Chowdhury, Alison Hall, H. Burton and Hilary Burton and has published in prestigious journals such as Nature Genetics, British Journal of Cancer and Atherosclerosis.

In The Last Decade

Tom Dent

15 papers receiving 868 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Risk models and scores for type 2 diabetes: systematic review

2011 412 citations Douglas Noble, Rohini Mathur et al. BMJ profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Dent United Kingdom	10	324	271	193	143	126	18	890
Paolo Di Bartolo Italy	20	203 0.6×	888 3.3×	60 0.3×	252 1.8×	80 0.6×	70	1.3k
Frederick R. Jelovsek United States	13	355 1.1×	305 1.1×	99 0.5×	35 0.2×	147 1.2×	35	873
Emmanuel Acheampong Ghana	16	47 0.1×	206 0.8×	191 1.0×	195 1.4×	112 0.9×	95	841
Saravanan Jebarani India	12	138 0.4×	356 1.3×	70 0.4×	149 1.0×	33 0.3×	30	624
GR Bernard Gibraltar	4	206 0.6×	55 0.2×	31 0.2×	217 1.5×	140 1.1×	7	872
Ghada N. Farhat United States	16	63 0.2×	74 0.3×	214 1.1×	64 0.4×	149 1.2×	26	1.0k
Fang Liz Zhou United States	14	160 0.5×	429 1.6×	42 0.2×	56 0.4×	38 0.3×	49	676
Hayley Bennett United Kingdom	16	100 0.3×	152 0.6×	93 0.5×	144 1.0×	33 0.3×	52	680
Eva Lustigova United States	15	54 0.2×	96 0.4×	130 0.7×	72 0.5×	65 0.5×	42	1.0k
Bochen Cao United States	10	61 0.2×	298 1.1×	140 0.7×	64 0.4×	72 0.6×	15	743

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-authorship network of co-authors of Tom Dent

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Dent. A scholar is included among the top collaborators of Tom Dent based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Dent. Tom Dent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Dent, Tom, et al.. (2020). Hospice advice and rapid response service for ambulance clinicians. BMJ Supportive & Palliative Care. 10(3). 296–299. 4 indexed citations

2.

Hall, Alison, et al.. (2018). Risk stratification, genomic data and the law. Journal of Community Genetics. 9(3). 195–199. 3 indexed citations

3.

Chowdhury, Susmita, Lidewij Henneman, Tom Dent, et al.. (2015). Do Health Professionals Need Additional Competencies for Stratified Cancer Prevention Based on Genetic Risk Profiling?. Journal of Personalized Medicine. 5(2). 191–212. 13 indexed citations

4.

Hall, Alison, Susmita Chowdhury, Nina Hallowell, et al.. (2013). Implementing risk-stratified screening for common cancers: a review of potential ethical, legal and social issues. Journal of Public Health. 36(2). 285–291. 43 indexed citations

5.

Dent, Tom, Jalila Jbilou, Imran Rafi, et al.. (2013). Stratified Cancer Screening: The Practicalities of Implementation. Public Health Genomics. 16(3). 94–99. 41 indexed citations

6.

Chowdhury, Susmita, Tom Dent, Nora Pashayan, et al.. (2013). Incorporating genomics into breast and prostate cancer screening: assessing the implications. Genetics in Medicine. 15(6). 423–432. 62 indexed citations

7.

Burton, Hilary, Susmita Chowdhury, Tom Dent, et al.. (2013). Public health implications from COGS and potential for risk stratification and screening. Nature Genetics. 45(4). 349–351. 90 indexed citations

8.

Pashayan, Nora, Alison Hall, Susmita Chowdhury, et al.. (2013). Public health genomics and personalized prevention: lessons from the COGS project. Journal of Internal Medicine. 274(5). 451–456. 21 indexed citations

9.

Pashayan, Nora, Andy Hall, Tom Dent, et al.. (2011). Public health implications of personalised screening for cancer: The First Collaborative Oncological Gene-environment Study (COGS) Workshop findings. UCL Discovery (University College London). 2 indexed citations

10.

Dent, Tom, Caroline F. Wright, Blossom C. M. Stephan, Carol Brayne, & A. Cecile J.W. Janssens. (2011). Risk Prediction Models: A Framework for Assessment. Public Health Genomics. 15(2). 98–105. 7 indexed citations

11.

Noble, Douglas, Rohini Mathur, Tom Dent, Catherine Meads, & Trisha Greenhalgh. (2011). Risk models and scores for type 2 diabetes: systematic review. BMJ. 343(nov28 1). d7163–d7163. 412 indexed citations breakdown →

12.

Pashayan, Nora, Stephen W. Duffy, Susmita Chowdhury, et al.. (2011). Polygenic susceptibility to prostate and breast cancer: implications for personalised screening. British Journal of Cancer. 104(10). 1656–1663. 114 indexed citations

13.

Dent, Tom. (2010). Predicting the risk of coronary heart disease. Atherosclerosis. 213(2). 345–351. 45 indexed citations

14.

Dent, Tom. (2010). Predicting the risk of coronary heart disease. II: The role of novel molecular biomarkers and genetics in estimating risk, and the future of risk prediction. Atherosclerosis. 213(2). 352–362. 32 indexed citations

15.

Campbell, Bruce & Tom Dent. (2004). NICE news in the<I> Annals</I>. Annals of The Royal College of Surgeons of England. 86(4). 296–297.

16.

Dent, Tom. (1993). Lower East Side Coda. African American Review. 27(4). 597–597.

17.

Dent, Tom. (1984). Marcus B. Christian: A Reminiscence and an Appreciation. Black American Literature Forum. 18(1). 22–22.

18.

Lewis, R. S. & Tom Dent. (1976). River Road: A Photo Essay. Callaloo. 29–29. 1 indexed citations

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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