Jack Lee

3.5k total citations
85 papers, 2.2k citations indexed

About

Jack Lee is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Jack Lee has authored 85 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 40 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Biomedical Engineering. Recurrent topics in Jack Lee's work include Cardiovascular Function and Risk Factors (25 papers), Elasticity and Material Modeling (20 papers) and Cardiac Imaging and Diagnostics (16 papers). Jack Lee is often cited by papers focused on Cardiovascular Function and Risk Factors (25 papers), Elasticity and Material Modeling (20 papers) and Cardiac Imaging and Diagnostics (16 papers). Jack Lee collaborates with scholars based in United Kingdom, United States and New Zealand. Jack Lee's co-authors include Nicolas P. Smith, David Nordsletten, Radomí­r Chabiniok, Andrew Cookson, Myrianthi Hadjicharalambous, Reza Razavi, C. Michler, Eva Sammut, Dominique Chapelle and Philippe Moireau and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Jack Lee

85 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Lee United Kingdom 29 950 773 642 416 353 85 2.2k
David Nordsletten United Kingdom 31 1.5k 1.6× 854 1.1× 1.1k 1.7× 496 1.2× 420 1.2× 121 2.8k
Hao Gao United Kingdom 28 1.0k 1.1× 490 0.6× 963 1.5× 475 1.1× 293 0.8× 133 2.0k
D. Rodney Hose United Kingdom 30 1.1k 1.1× 853 1.1× 763 1.2× 1.2k 2.9× 535 1.5× 116 3.0k
Shmuel Einav Israel 27 865 0.9× 432 0.6× 890 1.4× 962 2.3× 732 2.1× 115 2.5k
Patricia V. Lawford United Kingdom 29 1.2k 1.3× 611 0.8× 542 0.8× 1.2k 3.0× 680 1.9× 108 2.7k
Dan Adam Israel 25 918 1.0× 814 1.1× 616 1.0× 266 0.6× 397 1.1× 79 1.9k
Quan Long United Kingdom 28 984 1.0× 427 0.6× 374 0.6× 956 2.3× 821 2.3× 77 2.4k
Lewis J. Thomas United States 28 1.0k 1.1× 1.4k 1.9× 1.0k 1.6× 745 1.8× 449 1.3× 100 3.5k
Philippe Moireau France 20 943 1.0× 362 0.5× 585 0.9× 289 0.7× 153 0.4× 68 1.7k
Óscar Cámara Spain 28 1.4k 1.5× 1.1k 1.4× 497 0.8× 201 0.5× 245 0.7× 154 3.0k

Countries citing papers authored by Jack Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jack Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Lee

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

All Works

20 of 20 papers shown
1.
Feng, Liuyang, Jack Lee, Colin Berry, et al.. (2024). Cardiac perfusion coupled with a structured coronary network tree. Computer Methods in Applied Mechanics and Engineering. 428. 117083–117083. 2 indexed citations
2.
Lee, Jack, et al.. (2022). Haemodynamic analysis using multiphase flow dynamics in tubular lesions. Computer Methods and Programs in Biomedicine. 220. 106780–106780. 6 indexed citations
3.
Zee, Benny, Jack Lee, Maria Lai, et al.. (2022). Digital solution for detection of undiagnosed diabetes using machine learning-based retinal image analysis. BMJ Open Diabetes Research & Care. 10(6). e002914–e002914. 8 indexed citations
4.
Lee, Jack, et al.. (2022). A finite volume coupled level set and volume of fluid method with a mass conservation step for simulating two‐phase flows. International Journal for Numerical Methods in Fluids. 94(8). 1027–1047. 7 indexed citations
5.
Wong, Vincent Wai‐Sun, Jack Lee, Queenie Chan, et al.. (2022). Characterization and correction of the effects of hepatic iron on T relaxation in the liver at 3.0T. Magnetic Resonance in Medicine. 88(4). 1828–1839. 6 indexed citations
6.
Rashid, Hashrul, Ronak Rajani, Jonathon Leipsic, et al.. (2022). Computed tomography imaging for subclinical leaflet thrombosis following surgical and transcatheter aortic valve replacement. Journal of cardiovascular computed tomography. 17(1). 2–10. 9 indexed citations
7.
Zee, Benny, Jack Lee, Yuhua Fan, et al.. (2021). Machine-learning method for localization of cerebral white matter hyperintensities in healthy adults based on retinal images. Brain Communications. 3(3). fcab124–fcab124. 18 indexed citations
8.
Lee, Jack, et al.. (2021). An improved reduced-order model for pressure drop across arterial stenoses. PLoS ONE. 16(10). e0258047–e0258047. 13 indexed citations
9.
Varela, Marta, et al.. (2020). A survey of pathways for mechano-electric coupling in the atria. Spiral (Imperial College London). 5 indexed citations
10.
Chen, Ying‐Chen, et al.. (2019). A Novel Resistive Switching Identification Method through Relaxation Characteristics for Sneak-path-constrained Selectorless RRAM application. Scientific Reports. 9(1). 12420–12420. 39 indexed citations
11.
Scannell, Cian M., Adriana Villa, Jack Lee, Marcel Breeuwer, & Amedeo Chiribiri. (2019). Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data. IEEE Transactions on Medical Imaging. 38(8). 1812–1820. 29 indexed citations
12.
Scannell, Cian M., Amedeo Chiribiri, Adriana Villa, Marcel Breeuwer, & Jack Lee. (2019). Hierarchical Bayesian myocardial perfusion quantification. Medical Image Analysis. 60. 101611–101611. 16 indexed citations
13.
Giffard‐Roisin, Sophie, Hervé Delingette, Tom Jackson, et al.. (2018). Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy. IEEE Transactions on Biomedical Engineering. 66(2). 343–353. 24 indexed citations
14.
Runge, Jurgen H., Jack Lee, Marian Troelstra, et al.. (2018). A novel magnetic resonance elastography transducer concept based on a rotational eccentric mass: preliminary experiences with the gravitational transducer. Physics in Medicine and Biology. 64(4). 45007–45007. 34 indexed citations
15.
Yu, Haibo, et al.. (2017). Prediction Factors of Recurrent Stroke among Chinese Adults Using Retinal Vasculature Characteristics. Journal of Stroke and Cerebrovascular Diseases. 26(4). 679–685. 15 indexed citations
16.
Zee, Benny, Jack Lee, Qing Li, et al.. (2016). Stroke risk assessment for the community by automatic retinal image analysis using fundus photograph. Quality in primary care. 24(3). 9 indexed citations
17.
Patterson, Tiffany, Brian Clapp, Divaka Perera, et al.. (2016). NOVEL INSIGHTS INTO THE PHYSIOLOGY OF CARDIAC-CORONARY INTERACTION: A FIRST-IN-HUMAN STUDY UTILISING INVASIVE REAL-TIME SIMULTANEOUS MEASURES OF CORONARY AND LEFT VENTRICULAR HEMODYNAMICS. Journal of the American College of Cardiology. 67(13). 376–376. 1 indexed citations
18.
Chabiniok, Radomí­r, Vicky Y. Wang, Myrianthi Hadjicharalambous, et al.. (2016). Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics. Interface Focus. 6(2). 20150083–20150083. 166 indexed citations
19.
Vigueras, Guillermo, Ishani Roy, Andrew Cookson, et al.. (2013). Toward GPGPU accelerated human electromechanical cardiac simulations. International Journal for Numerical Methods in Biomedical Engineering. 30(1). 117–134. 16 indexed citations
20.
Lee, Jack, Steven Niederer, David Nordsletten, et al.. (2009). Coupling contraction, excitation, ventricular and coronary blood flow across scale and physics in the heart. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1901). 3331–3331. 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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