Stephen Kaptoge

14.7k total citations · 2 hit papers
49 papers, 2.5k citations indexed

About

Stephen Kaptoge is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stephen Kaptoge has authored 49 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 13 papers in Public Health, Environmental and Occupational Health and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Stephen Kaptoge's work include Bone health and osteoporosis research (8 papers), Lipoproteins and Cardiovascular Health (6 papers) and Blood donation and transfusion practices (6 papers). Stephen Kaptoge is often cited by papers focused on Bone health and osteoporosis research (8 papers), Lipoproteins and Cardiovascular Health (6 papers) and Blood donation and transfusion practices (6 papers). Stephen Kaptoge collaborates with scholars based in United Kingdom, United States and Netherlands. Stephen Kaptoge's co-authors include Adam S. Butterworth, Alex Thompson, Peter Willeit, Philip Haycock, Emanuele Di Angelantonio, Oscar H. Franco, J. Reeve, Frank B. Hu, An Pan and Dong D. Wang and has published in prestigious journals such as The Lancet, JAMA and Circulation.

In The Last Decade

Stephen Kaptoge

48 papers receiving 2.5k 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.

Leucocyte telomere length and risk of cardiovascular disease: systematic review and meta-analysis

2014 645 citations Philip Haycock, Stephen Kaptoge et al. BMJ profile →
Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population

2018 559 citations Yanping Li, An Pan et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Kaptoge United Kingdom	20	805	462	375	363	315	49	2.5k
Vahakn B. Shahinian United States	31	380 0.5×	236 0.5×	514 1.4×	146 0.4×	355 1.1×	147	4.3k
J. Michael Sprafka United States	36	423 0.5×	891 1.9×	479 1.3×	932 2.6×	247 0.8×	84	4.1k
Scott W. Keith United States	31	519 0.6×	543 1.2×	404 1.1×	315 0.9×	190 0.6×	155	3.1k
Terry Aspray United Kingdom	26	646 0.8×	544 1.2×	388 1.0×	251 0.7×	293 0.9×	69	3.0k
Hui Ting Chan Taiwan	8	883 1.1×	648 1.4×	243 0.6×	610 1.7×	160 0.5×	10	2.8k
Barbara Kollerits Austria	32	358 0.4×	187 0.4×	834 2.2×	522 1.4×	432 1.4×	73	3.9k
Lutz Philipp Breitling Germany	25	601 0.7×	176 0.4×	195 0.5×	211 0.6×	1.6k 5.0×	58	2.7k
Ting Cheng Taiwan	13	960 1.2×	653 1.4×	159 0.4×	442 1.2×	120 0.4×	24	2.3k
Zuyun Liu China	27	863 1.1×	297 0.6×	103 0.3×	176 0.5×	397 1.3×	124	2.6k
Stephen Kaptoge United Kingdom	16	491 0.6×	545 1.2×	1.0k 2.8×	1.3k 3.7×	462 1.5×	21	4.5k

Countries citing papers authored by Stephen Kaptoge

Since Specialization

Citations

This map shows the geographic impact of Stephen Kaptoge'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 Stephen Kaptoge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Kaptoge more than expected).

Fields of papers citing papers by Stephen Kaptoge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Kaptoge. 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 Stephen Kaptoge. The network helps show where Stephen Kaptoge may publish in the future.

Co-authorship network of co-authors of Stephen Kaptoge

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Kaptoge. A scholar is included among the top collaborators of Stephen Kaptoge 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 Stephen Kaptoge. Stephen Kaptoge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hageman, Steven H J, Stephen Kaptoge, Lisa Pennells, et al.. (2025). Using SCORE2 with a risk chart or online calculator: impact on model performance, treatment eligibility, and cardiovascular disease prevention. European Heart Journal - Quality of Care and Clinical Outcomes. 12(2). 213–220.

Ritchie, Scott C., Lisa Pennells, Yu Xu, et al.. (2025). Combined clinical, metabolomic, and polygenic scores for cardiovascular risk prediction. European Heart Journal. 1 indexed citations

Hageman, Steven H J, Carmen Petitjean, Lisa Pennells, et al.. (2023). Improving 10-year cardiovascular risk prediction in apparently healthy people: flexible addition of risk modifiers on top of SCORE2. European Journal of Preventive Cardiology. 30(15). 1705–1714. 18 indexed citations

Xu, Zhe, Matthew Arnold, Luanluan Sun, et al.. (2022). Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records. International Journal of Epidemiology. 51(6). 1813–1823. 2 indexed citations

Hageman, Steven H J, Stephanie H. Read, Taylor Owen, et al.. (2022). Estimating individual lifetime risk of incident cardiovascular events in adults with Type 2 diabetes: an update and geographical calibration of the DIAbetes Lifetime perspective model (DIAL2). European Journal of Preventive Cardiology. 30(1). 61–69. 7 indexed citations

Poole, Kenneth, Emma Clark, Jane Fleming, et al.. (2022). PHOENIX (Picking up Hidden Osteoporosis Effectively during Normal CT Imaging without additional X-rays): protocol for a randomised, multicentre feasibility study. BMJ Open. 12(5). e050343–e050343. 2 indexed citations

Shi, Fanchao, Luanluan Sun, & Stephen Kaptoge. (2021). Association of beta-2-microglobulin and cardiovascular events and mortality: A systematic review and meta-analysis. Atherosclerosis. 320. 70–78. 31 indexed citations

Kaptoge, Stephen, Joe Dennis, Mitul Shah, et al.. (2021). Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study. Breast Cancer Research. 23(1). 94–94. 8 indexed citations

Wang, Qingning, Veryan Codd, Zahra Raisi‐Estabragh, et al.. (2021). Shorter leukocyte telomere length is associated with adverse COVID-19 outcomes: A cohort study in UK Biobank. EBioMedicine. 70. 103485–103485. 46 indexed citations

10.

Bell, Steven, Michael Sweeting, Anna Ramond, et al.. (2020). Comparison of four methods to measure haemoglobin concentrations in whole blood donors ( COMPARE ): A diagnostic accuracy study. Transfusion Medicine. 31(2). 94–103. 11 indexed citations

11.

Kaptoge, Stephen, Lisa Pennells, Dirk De Bacquer, et al.. (2019). World Health Organization Cardiovascular Disease Risk Charts: Revised Models to Estimate Risk in 21 Global Regions. The Lancet. 7. 1 indexed citations

12.

Li, Yanping, An Pan, Dong D. Wang, et al.. (2018). Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population. Circulation. 138(4). 345–355. 559 indexed citations breakdown →

13.

Staley, James R, Edmund Jones, Stephen Kaptoge, et al.. (2017). A comparison of Cox and logistic regression for use in genome-wide association studies of cohort and case-cohort design. European Journal of Human Genetics. 25(7). 854–862. 34 indexed citations

14.

Moore, Carmel, Thomas Bolton, Matthew R. Walker, et al.. (2016). Recruitment and representativeness of blood donors in the INTERVAL randomised trial assessing varying inter-donation intervals. Trials. 17(1). 458–458. 13 indexed citations

15.

Epstein, David, Leticia García‐Mochón, Stephen Kaptoge, & Simon G. Thompson. (2015). Modeling the costs and long-term health benefits of screening the general population for risks of cardiovascular disease: a review of methods used in the literature. The European Journal of Health Economics. 17(8). 1041–1053. 8 indexed citations

16.

Haycock, Philip, et al.. (2014). Leucocyte telomere length and risk of cardiovascular disease: systematic review and meta-analysis. BMJ. 349(jul08 3). g4227–g4227. 645 indexed citations breakdown →

17.

Kaptoge, Stephen, et al.. (2007). Review of resuscitation training amongst consultants and middle grade paediatricians. Resuscitation. 74(3). 495–499. 6 indexed citations

18.

Compston, Juliet, Colin Stott, R.A. Hannon, et al.. (2005). Changes in bone mineral density, body composition and biochemical markers of bone turnover during weight gain in adolescents with severe anorexia nervosa: a 1-year prospective study. Osteoporosis International. 17(1). 77–84. 52 indexed citations

19.

Ho, Aileen K., et al.. (2004). Health‐related quality of life in Huntington's disease: A comparison of two generic instruments, SF‐36 and SIP. Movement Disorders. 19(11). 1341–1348. 48 indexed citations

20.

D’Amore, Angela, et al.. (2004). The Effect of Antenatal Corticosteroids on Fetal Growth, Survival, and Neurodevelopmental Outcome in Triplet Pregnancies. American Journal of Perinatology. 21(1). 1–8. 7 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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