Peter Brindle

8.3k total citations · 4 hit papers
24 papers, 5.3k citations indexed

About

Peter Brindle is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Peter Brindle has authored 24 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Peter Brindle's work include Lipoproteins and Cardiovascular Health (8 papers), Health Promotion and Cardiovascular Prevention (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Peter Brindle is often cited by papers focused on Lipoproteins and Cardiovascular Health (8 papers), Health Promotion and Cardiovascular Prevention (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Peter Brindle collaborates with scholars based in United Kingdom and United States. Peter Brindle's co-authors include Julia Hippisley–Cox, Carol Coupland, John Robson, Yana Vinogradova, Aziz Sheikh, Hugh Tunstall‐Pedoe, Mark Woodward, Rubin Minhas, Margaret May and Malcolm W. Brown and has published in prestigious journals such as Nature Medicine, BMJ and Psychological Medicine.

In The Last Decade

Peter Brindle

23 papers receiving 5.2k 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.

Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study

2017 1.1k citations Julia Hippisley–Cox, Carol Coupland et al. BMJ profile →
Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2

2008 1.0k citations Julia Hippisley–Cox, Carol Coupland et al. BMJ profile →
Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study

2007 724 citations Julia Hippisley–Cox, Carol Coupland et al. BMJ profile →
Development and validation of a new algorithm for improved cardiovascular risk prediction

2024 52 citations Julia Hippisley–Cox, Carol Coupland et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Brindle United Kingdom	19	2.0k	1.3k	1.1k	1.1k	864	24	5.3k
John Robson United Kingdom	25	1.3k 0.7×	997 0.8×	886 0.8×	1.0k 0.9×	848 1.0×	122	4.5k
Mark R. Cobain United Kingdom	7	2.5k 1.3×	1.2k 0.9×	956 0.9×	877 0.8×	671 0.8×	7	5.5k
Feng Lin United States	45	1.8k 0.9×	1.3k 1.0×	1.1k 1.0×	671 0.6×	688 0.8×	173	7.1k
Patricia M. Odell United States	11	1.5k 0.7×	1.1k 0.8×	900 0.8×	879 0.8×	396 0.5×	13	4.2k
María Grau Spain	37	1.8k 0.9×	636 0.5×	978 0.9×	651 0.6×	452 0.5×	141	4.3k
Dawei Xie United States	48	1.8k 0.9×	655 0.5×	943 0.8×	762 0.7×	955 1.1×	210	8.1k
Yana Vinogradova United Kingdom	26	1.1k 0.6×	838 0.6×	797 0.7×	688 0.6×	609 0.7×	67	4.0k
Glen C. Bennett United States	6	3.4k 1.7×	1.4k 1.1×	1.9k 1.7×	879 0.8×	864 1.0×	8	6.8k
Fátima Rodríguez United States	36	2.1k 1.0×	483 0.4×	1.0k 0.9×	797 0.7×	506 0.6×	245	5.5k
Hongyan Ning United States	46	4.0k 2.0×	1.1k 0.9×	1.2k 1.1×	1.7k 1.5×	922 1.1×	169	7.6k

Countries citing papers authored by Peter Brindle

Since Specialization

Citations

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

Fields of papers citing papers by Peter Brindle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Brindle

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Brindle. A scholar is included among the top collaborators of Peter Brindle 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 Peter Brindle. Peter Brindle 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:

20 of 20 papers shown

Hippisley–Cox, Julia, Carol Coupland, Mona Bafadhel, et al.. (2024). Development and validation of a new algorithm for improved cardiovascular risk prediction. Nature Medicine. 30(5). 1440–1447. 52 indexed citations breakdown →

Vindrola‐Padros, Cecilia, Helen Baxter, Helen Cramer, et al.. (2018). Addressing the challenges of knowledge co-production in quality improvement: learning from the implementation of the researcher-in-residence model. BMJ Quality & Safety. 28(1). 67–73. 72 indexed citations

Hippisley–Cox, Julia, Carol Coupland, & Peter Brindle. (2017). Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study. BMJ. 357. j2099–j2099. 1066 indexed citations breakdown →

Vinogradova, Yana, Carol Coupland, Peter Brindle, & Julia Hippisley–Cox. (2016). Discontinuation and restarting in patients on statin treatment: prospective open cohort study using a primary care database. BMJ. 353. i3305–i3305. 92 indexed citations

Vinogradova, Yana, Carol Coupland, Peter Brindle, & Julia Hippisley–Cox. (2015). Patients who discontinued statin treatment: a protocol for cohort study using primary care data. BMJ Open. 5(10). e008701–e008701. 6 indexed citations

Hippisley–Cox, Julia, Carol Coupland, & Peter Brindle. (2014). The performance of seven QPrediction risk scores in an independent external sample of patients from general practice: a validation study. BMJ Open. 4(8). e005809–e005809. 50 indexed citations

Hippisley–Cox, Julia, Carol Coupland, & Peter Brindle. (2013). Derivation and validation of QStroke score for predicting risk of ischaemic stroke in primary care and comparison with other risk scores: a prospective open cohort study. BMJ. 346(may02 1). f2573–f2573. 101 indexed citations

Hippisley–Cox, Julia, Carol Coupland, John Robson, & Peter Brindle. (2010). Derivation, validation, and evaluation of a new QRISK model to estimate lifetime risk of cardiovascular disease: cohort study using QResearch database. BMJ. 341(dec09 1). c6624–c6624. 252 indexed citations

Hippisley–Cox, Julia, Carol Coupland, John Robson, Aziz Sheikh, & Peter Brindle. (2009). Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ. 338(mar17 2). b880–b880. 277 indexed citations

10.

Beswick, Andrew D, Peter Brindle, Tom Fahey, & Shah Ebrahim. (2008). MEDLINE search strategy. European Journal of Pharmacology. 125(2). 169–75.

11.

Hippisley–Cox, Julia, Carol Coupland, Yana Vinogradova, et al.. (2008). Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ. 336(7659). 1475–1482. 1026 indexed citations breakdown →

12.

Hippisley–Cox, Julia, Carol Coupland, Yana Vinogradova, John Robson, & Peter Brindle. (2007). Performance of the QRISK cardiovascular risk prediction algorithm in an independent UK sample of patients from general practice: a validation study. Heart. 94(1). 34–39. 152 indexed citations

13.

Hippisley–Cox, Julia, Carol Coupland, Yana Vinogradova, et al.. (2007). Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study. BMJ. 335(7611). 136–136. 724 indexed citations breakdown →

14.

Beswick, Andrew D & Peter Brindle. (2006). Risk scoring in the assessment of cardiovascular risk. Current Opinion in Lipidology. 17(4). 375–386. 45 indexed citations

15.

Woodward, Mark, Peter Brindle, & Hugh Tunstall‐Pedoe. (2006). Adding social deprivation and family history to cardiovascular risk assessment: the ASSIGN score from the Scottish Heart Health Extended Cohort (SHHEC). Heart. 93(2). 172–176. 458 indexed citations

16.

Brindle, Peter, Alex McConnachie, Mark Upton, et al.. (2005). The accuracy of the Framingham risk-score in different socioeconomic groups: a prospective study.. PubMed. 55(520). 838–45. 126 indexed citations

17.

Brindle, Peter, et al.. (2003). Predictive accuracy of the Framingham coronary risk score in British men:prospective cohort study. BMJ. 327(7426). 1267–1267. 387 indexed citations

18.

Brindle, Peter. (2001). Medical Statistics at a Glance.. International Journal of Epidemiology. 30(2). 407–407. 205 indexed citations

19.

Brindle, Peter, et al.. (1993). Memory loss during pregnancy. BJOG An International Journal of Obstetrics & Gynaecology. 100(3). 209–215. 95 indexed citations

20.

Brindle, Peter, Malcolm W. Brown, John L. Brown, Huw B. Griffith, & Gillian Turner. (1991). Objective and subjective memory impairment in pregnancy. Psychological Medicine. 21(3). 647–653. 81 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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