Kuan Ken Lee

8.8k total citations · 5 hit papers
48 papers, 4.2k citations indexed

About

Kuan Ken Lee is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kuan Ken Lee has authored 48 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 19 papers in Surgery and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kuan Ken Lee's work include Acute Myocardial Infarction Research (28 papers), Cardiac Imaging and Diagnostics (18 papers) and Coronary Interventions and Diagnostics (15 papers). Kuan Ken Lee is often cited by papers focused on Acute Myocardial Infarction Research (28 papers), Cardiac Imaging and Diagnostics (18 papers) and Coronary Interventions and Diagnostics (15 papers). Kuan Ken Lee collaborates with scholars based in United Kingdom, United States and France. Kuan Ken Lee's co-authors include Anoop Shah, Nicholas L. Mills, David E. Newby, David McAllister, Fiona E. Strachan, William Whiteley, Harish Nair, Atul Anand, Amanda Hunter and Andrew R. Chapman and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Kuan Ken Lee

45 papers receiving 4.1k 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.

Short term exposure to air pollution and stroke: systematic review and meta-analysis

2015 618 citations Anoop Shah, Kuan Ken Lee et al. BMJ profile →
Global Burden of Atherosclerotic Cardiovascular Disease in People Living With HIV

2018 557 citations Anoop Shah, Dominik Stelzle et al. Circulation profile →
Estimates of the global burden of cervical cancer associated with HIV

2020 472 citations Dominik Stelzle, Luana Fiengo Tanaka et al. The Lancet Global Health profile →
High-sensitivity cardiac troponin I at presentation in patients with suspected acute coronary syndrome: a cohort study

2015 316 citations Anoop Shah, Atul Anand et al. profile →
High sensitivity cardiac troponin and the under-diagnosis of myocardial infarction in women: prospective cohort study

2015 304 citations Anoop Shah, Kuan Ken Lee et al. BMJ profile →

Peers

Kuan Ken Lee

CCM

HTM

RNMI

SURGE

EPIDE

Harmony R. Reynolds United States

André P. Perruchoud Switzerland

Danilo Fusco Italy

Dale G. Renlund United States

Ugo Fedeli Italy

Roslyn A. Stone United States

P Hider New Zealand

Anoop Chauhan United Kingdom

Wei‐jie Guan China

Karen Leffondré France

Harmony R. Reynolds United States

Kuan Ken Lee

4.4k ×2.6

CCM

602 ×0.6

HTM

2.3k ×2.8

RNMI

2.3k ×3.1

SURGE

522 ×0.7

EPIDE

Citations per year, relative to Kuan Ken Lee Kuan Ken Lee (= 1×) peers Harmony R. Reynolds

Countries citing papers authored by Kuan Ken Lee

Since Specialization

Citations

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

Fields of papers citing papers by Kuan Ken Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan Ken Lee. 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 Kuan Ken Lee. The network helps show where Kuan Ken Lee may publish in the future.

Co-authorship network of co-authors of Kuan Ken Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan Ken Lee. A scholar is included among the top collaborators of Kuan Ken Lee 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 Kuan Ken Lee. Kuan Ken Lee 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

Lee, Kuan Ken, Olga Oikonomidou, Peter Hall, et al.. (2025). Anthracycline Dose, Myocardial Injury, and Change in Left Ventricular Function in the Cardiac CARE Trial. JACC CardioOncology. 7(6). 725–735.

Lee, Kuan Ken, Dimitrios Doudesis, Johannes Mair, et al.. (2024). Clinical decision support using machine learning and natriuretic peptides for the diagnosis of acute heart failure. European Heart Journal Acute Cardiovascular Care. 13(6). 515–516. 2 indexed citations

Cooper, Jamie G., James Ferguson, Neil Scott, et al.. (2024). Could paramedics use the HEART Pathway to identify patients at low-risk of myocardial infarction in the prehospital setting?. American Heart Journal. 271. 182–187. 2 indexed citations

Lee, Kuan Ken, David J. Lowe, Rachel O’Brien, et al.. (2023). Troponin in acute chest pain to risk stratify and guide effective use of computed tomography coronary angiography (TARGET-CTCA): a randomised controlled trial. Trials. 24(1). 402–402. 3 indexed citations

Lee, Kuan Ken, Dimitrios Doudesis, Rong Bing, et al.. (2023). Sex Differences in Oral Anticoagulation Therapy in Patients Hospitalized With Atrial Fibrillation: A Nationwide Cohort Study. Journal of the American Heart Association. 12(5). e027211–e027211. 17 indexed citations

Meah, Mohammed N., Ryan Wereski, Anda Bularga, et al.. (2023). Coronary low-attenuation plaque and high-sensitivity cardiac troponin. Heart. 109(9). 702–709. 11 indexed citations

Cooper, Jamie G., James Ferguson, Neil Scott, et al.. (2023). Performance of a prehospital HEART score in patients with possible myocardial infarction: a prospective evaluation. Emergency Medicine Journal. 40(7). 474–481. 3 indexed citations

Lee, Kuan Ken, Dimitrios Doudesis, Amy V. Ferry, et al.. (2023). Implementation of a high sensitivity cardiac troponin I assay and risk of myocardial infarction or death at five years: observational analysis of a stepped wedge, cluster randomised controlled trial. BMJ. 383. e075009–e075009. 7 indexed citations

Lee, Kuan Ken, Shirjel Alam, Pablo Perel, et al.. (2022). Cardiovascular risk factors and markers of myocardial injury and inflammation in people living with HIV in Nairobi, Kenya: a pilot cross-sectional study. BMJ Open. 12(6). e062352–e062352. 7 indexed citations

10.

Bularga, Anda, Mohammed N. Meah, Dimitrios Doudesis, et al.. (2021). Duration of dual antiplatelet therapy and stability of coronary heart disease: a 60 000-patient meta-analysis of randomised controlled trials. Open Heart. 8(2). e001707–e001707. 6 indexed citations

11.

Shah, Anoop, Kuan Ken Lee, Desmond Campbell, et al.. (2021). Clinical burden, risk factor impact and outcomes following myocardial infarction and stroke: A 25-year individual patient level linkage study. The Lancet Regional Health - Europe. 7. 100141–100141. 18 indexed citations

12.

Dweck, Marc R., Anda Bularga, Rebecca T. Hahn, et al.. (2020). Global evaluation of echocardiography in patients with COVID-19. European Heart Journal - Cardiovascular Imaging. 21(9). 949–958. 264 indexed citations

13.

Shah, Anoop, David McAllister, Peter J. Gallacher, et al.. (2020). Incidence, Microbiology, and Outcomes in Patients Hospitalized With Infective Endocarditis. Circulation. 141(25). 2067–2077. 108 indexed citations

14.

Stelzle, Dominik, Luana Fiengo Tanaka, Kuan Ken Lee, et al.. (2020). Estimates of the global burden of cervical cancer associated with HIV. The Lancet Global Health. 9(2). e161–e169. 472 indexed citations breakdown →

15.

Lee, Kuan Ken, et al.. (2019). 012 Outcomes following confirmed myocardial injury in patients with atrial fibrillation: a post hoc subgroup analysis of the high-STEACS trial. Emergency Medicine Journal. 36(12). 777.3–778. 1 indexed citations

16.

Lee, Kuan Ken, Dominik Stelzle, Rong Bing, et al.. (2019). Global burden of atherosclerotic cardiovascular disease in people with hepatitis C virus infection: a systematic review, meta-analysis, and modelling study. The Lancet. Gastroenterology & hepatology. 4(10). 794–804. 68 indexed citations

17.

Lee, Kuan Ken, A. Vaswani, Megan Griffiths, et al.. (2018). Prevalence, Determinants, and Clinical Associations of High-Sensitivity Cardiac Troponin in Patients Attending Emergency Departments. The American Journal of Medicine. 132(1). 110.e8–110.e21. 35 indexed citations

18.

Chapman, Andrew R., Takeshi Fujisawa, Kuan Ken Lee, et al.. (2018). Novel high-sensitivity cardiac troponin I assay in patients with suspected acute coronary syndrome. Heart. 105(8). heartjnl–2018. 51 indexed citations

19.

Miller‐Hodges, Eve, Atul Anand, Anoop Shah, et al.. (2017). High-Sensitivity Cardiac Troponin and the Risk Stratification of Patients With Renal Impairment Presenting With Suspected Acute Coronary Syndrome. Circulation. 137(5). 425–435. 69 indexed citations

20.

Shah, Anoop, Kuan Ken Lee, David McAllister, et al.. (2015). Short term exposure to air pollution and stroke: systematic review and meta-analysis. BMJ. 350. h1295–h1295. 618 indexed citations breakdown →

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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