Cathie Sudlow

55.9k total citations · 9 hit papers
217 papers, 20.9k citations indexed

About

Cathie Sudlow is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Cathie Sudlow has authored 217 papers receiving a total of 20.9k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Epidemiology, 48 papers in Cardiology and Cardiovascular Medicine and 46 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Cathie Sudlow's work include Acute Ischemic Stroke Management (63 papers), Cerebrovascular and Carotid Artery Diseases (34 papers) and Chronic Disease Management Strategies (19 papers). Cathie Sudlow is often cited by papers focused on Acute Ischemic Stroke Management (63 papers), Cerebrovascular and Carotid Artery Diseases (34 papers) and Chronic Disease Management Strategies (19 papers). Cathie Sudlow collaborates with scholars based in United Kingdom, United States and Australia. Cathie Sudlow's co-authors include Naomi E. Allen, Tim Sprosen, Charles Warlow, Rory Collins, John Gallacher, Jill P. Pell, Paul Elliott, Caroline Jackson, Paul M. Matthews and Tim Peakman and has published in prestigious journals such as The Lancet, Circulation and Nature Communications.

In The Last Decade

Cathie Sudlow

210 papers receiving 20.7k citations

Hit Papers

5 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.

UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

2015 6.9k citations Cathie Sudlow, Jill P. Pell et al. profile →
Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population

2017 2.4k citations Cathie Sudlow et al. profile →
Comparable Studies of the Incidence of Stroke and its Pathological Types

1997 694 citations Cathie Sudlow et al. Stroke profile →
Epidemiology of stroke and its subtypes in Chinese vs white populations

2013 366 citations Cathie Sudlow et al. profile →
Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank

2016 310 citations Cathie Sudlow, Robin Flaig et al. profile →
Identifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality data

2019 261 citations Tim Wilkinson, Kristiina Rannikmäe et al. profile →
Genetic risk, incident stroke, and the benefits of adhering to a healthy lifestyle: cohort study of 306 473 UK Biobank participants

2018 221 citations Rainer Malik, Kristiina Rannikmäe et al. BMJ profile →
Longer-term (≥ 2 years) survival in patients with glioblastoma in population-based studies pre- and post-2005: a systematic review and meta-analysis

2020 218 citations Michael T. C. Poon, Cathie Sudlow et al. profile →
Refining epigenetic prediction of chronological and biological age

2023 65 citations Daniel L. McCartney, Danni A. Gadd et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cathie Sudlow United Kingdom	60	5.2k	3.5k	3.3k	2.9k	2.6k	217	20.9k
Albert Hofman Netherlands	91	5.9k 1.1×	2.5k 0.7×	3.7k 1.1×	1.1k 0.4×	4.6k 1.8×	360	31.4k
Vilmundur Guðnason Iceland	75	3.6k 0.7×	1.4k 0.4×	5.8k 1.8×	1.2k 0.4×	2.9k 1.1×	492	22.9k
Jill P. Pell United Kingdom	76	3.3k 0.6×	3.2k 0.9×	4.6k 1.4×	932 0.3×	2.0k 0.8×	515	29.1k
Gary Cutter United States	96	3.2k 0.6×	1.1k 0.3×	2.2k 0.7×	5.7k 1.9×	2.2k 0.9×	770	35.1k
Naomi E. Allen United Kingdom	50	2.5k 0.5×	5.8k 1.6×	1.9k 0.6×	1.1k 0.4×	3.7k 1.4×	134	23.0k
Kyungdo Han South Korea	59	3.9k 0.8×	1.3k 0.4×	4.5k 1.4×	1.1k 0.4×	1.8k 0.7×	1.2k	20.4k
Philippe Amouyel France	72	2.5k 0.5×	2.1k 0.6×	6.7k 2.0×	2.2k 0.7×	5.2k 2.0×	512	25.1k
Wendy J. Mack United States	74	1.7k 0.3×	2.9k 0.8×	3.1k 0.9×	931 0.3×	1.8k 0.7×	402	20.2k
Thomas H. Mosley United States	71	2.5k 0.5×	1.2k 0.3×	6.5k 2.0×	1.3k 0.4×	2.1k 0.8×	463	20.4k
John Chalmers Australia	93	5.3k 1.0×	1.5k 0.4×	12.2k 3.7×	3.3k 1.1×	4.0k 1.5×	783	35.4k

Countries citing papers authored by Cathie Sudlow

Since Specialization

Citations

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

Fields of papers citing papers by Cathie Sudlow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cathie Sudlow

This figure shows the co-authorship network connecting the top 25 collaborators of Cathie Sudlow. A scholar is included among the top collaborators of Cathie Sudlow 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 Cathie Sudlow. Cathie Sudlow 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

Fleetwood, Kelly, Caroline Jackson, Stewart W Mercer, et al.. (2025). Robustly measuring multimorbidity using disparate linked datasets. Communications Medicine. 5(1). 283–283.

Karthikeyan, Arun S, Rachel Denholm, Sonya V. Babu‐Narayan, et al.. (2025). Impact of COVID-19 pandemic on rates of congenital heart disease procedures among children: prospective cohort analyses of 26 270 procedures in 17 860 children using CVD-COVID-UK consortium record linkage data. Open Heart. 12(1). e003054–e003054. 1 indexed citations

Chico, Tim, William G Dixon, Norman Briffa, et al.. (2024). Addressing the challenges of integrating digital health technologies to measure patient-centred outcomes in clinical registries. The Lancet Digital Health. 7(3). e225–e231. 3 indexed citations

Keene, Spencer, Hoda Abbasizanjani, Fatemeh Torabi, et al.. (2024). Risks of major arterial and venous thrombotic diseases after hospitalisation for influenza, pneumonia, and COVID-19: A population-wide cohort in 2.6 million people in Wales. Thrombosis Research. 245. 109213–109213. 6 indexed citations

Cannatà, Antonio, Mehrdad A. Mizani, Daniel I. Bromage, et al.. (2024). Heart Failure Specialist Care and Long-Term Outcomes for Patients Admitted With Acute Heart Failure. JACC Heart Failure. 13(3). 402–413. 6 indexed citations

McCartney, Daniel L., Anne Richmond, Archie Campbell, et al.. (2024). Generation Scotland: an update on Scotland’s longitudinal family health study. BMJ Open. 14(6). e084719–e084719. 4 indexed citations

Strawbridge, Rona J., Zosia Miedzybrodzka, Riccardo E. Marioni, et al.. (2024). Methods applied to neonatal dried blood spot samples for secondary research purposes: a scoping review. Critical Reviews in Clinical Laboratory Sciences. 61(8). 685–708.

Downie, Samantha, Conor J. McCann, Peter Hall, et al.. (2024). New quality outcome indicators for bone metastases: expert consensus analysis of patients, their families and specialist healthcare professionals. BMJ Supportive & Palliative Care. 14(e2). e2066–e2078.

Abbasizanjani, Hoda, Fatemeh Torabi, Stuart Bedston, et al.. (2023). Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. BMC Medical Informatics and Decision Making. 23(1). 8–8. 12 indexed citations

10.

Welsh, Paul, Dorien M. Kimenai, Anoop Shah, et al.. (2023). Multiple Cardiac Biomarkers to Improve Prediction of Cardiovascular Events: Findings from the Generation Scotland Scottish Family Health Study. Clinical Chemistry. 70(2). 403–413. 6 indexed citations

11.

Ferguson, Amy, David Henshall, Tim Wilkinson, et al.. (2022). Systematic Review of Cerebral Phenotypes Associated With Monogenic Cerebral Small‐Vessel Disease. Journal of the American Heart Association. 11(12). e025629–e025629. 13 indexed citations

12.

Handy, Álex, Amitava Banerjee, Angela Wood, et al.. (2022). Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort. Heart. 108(12). 923–931. 12 indexed citations

13.

Jin, Kai, Paul M. Brennan, Michael T. C. Poon, Cathie Sudlow, & Jonine D. Figueroa. (2021). Raised cardiovascular disease mortality after central nervous system tumor diagnosis: analysis of 171,926 patients from UK and USA. Neuro-Oncology Advances. 3(1). vdab136–vdab136. 9 indexed citations

14.

Wood, Angela, Rachel Denholm, Sam Hollings, et al.. (2021). Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource. BMJ. 373. n826–n826. 93 indexed citations

15.

Malik, Rainer, Nathalie Beaufort, Benno Gesierich, et al.. (2021). Whole-exome sequencing reveals a role of HTRA1 and EGFL8 in brain white matter hyperintensities. Brain. 144(9). 2670–2682. 16 indexed citations

16.

Downie, Samantha, Peter Hall, Alison Stillie, et al.. (2021). Metastatic bone disease: new quality performance indicator development. BMJ Supportive & Palliative Care. 14(e3). e2619–e2631. 1 indexed citations

17.

Poon, Michael T. C., Paul M. Brennan, Kai Jin, Cathie Sudlow, & Jonine D. Figueroa. (2020). Might changes in diagnostic practice explain increasing incidence of brain and central nervous system tumors? A population-based study in Wales (United Kingdom) and the United States. Neuro-Oncology. 23(6). 979–989. 8 indexed citations

18.

Wu, Hua, et al.. (2019). Efficiently Reusing Natural Language Processing Models for Phenotype Identification in Free-text Electronic Medical Records: Methodological Study. UCL Discovery (University College London). 1 indexed citations

19.

McIntosh, Andrew M., Robert Stewart, Ann John, et al.. (2016). Data science for mental health: a UK perspective on a global challenge. The Lancet Psychiatry. 3(10). 993–998. 40 indexed citations

20.

Lovelock, Caroline, Charlotte Cordonnier, Hiromitsu Naka, et al.. (2010). Antithrombotic Drug Use, Cerebral Microbleeds, and Intracerebral Hemorrhage. Stroke. 41(6). 1222–1228. 207 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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