Jack Lee

2.9k citations
87 papers · 2.3k · h-index 28

Impact in

Papers in

Jack Lee

85 papers receiving 2.3k citations

Peers

Jack Lee
Comparison fields: 5 of 95
  • Radiology, Nuclear Medicine and Imaging 743
  • Cardiology and Cardiovascular Medicine 695
  • Biomedical Engineering 633
  • Health Informatics 35
  • Computer Vision and Pattern Recognition 275
Replace David Nordsletten with:
David Nordsletten United Kingdom
Radomí­r Chabiniok United Kingdom
Patricia V. Lawford United Kingdom
Hao Gao United Kingdom
Nic P. Smith United Kingdom
Tommaso Mansi United States
Pablo Javier Blanco Brazil
Daniel B. Ennis United States
Bruce H. Smaill New Zealand
Philippe Moireau France
Jack Lee relative to David Nordsletten United Kingdom David Nordsletten's profile →
Citations per field
00.5×1.5×1.8×
David Nordsletten · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jack Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack Lee Line = papers co-authored together Jack Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016187
2 2019146
3 200687
4 201181
5 201280
6 200774
7 201174
8 201265
9 201965
10 201561
11 201059
12 201659
13 201653
14 201252
15 200950
16 201650
17 201448
18 201643
19 201942
20 201837

About Jack Lee

Jack Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery and Computational Mechanics, having authored 87 papers that have together received 2.3k indexed citations. Recurring topics across this work include Elasticity and Material Modeling (23 papers), Cardiac Imaging and Diagnostics (22 papers), Coronary Interventions and Diagnostics (15 papers), Cardiovascular Function and Risk Factors (10 papers), Blood properties and coagulation (8 papers), Medical Image Segmentation Techniques (8 papers), Retinal Imaging and Analysis (8 papers) and Advanced Numerical Methods in Computational Mathematics (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (743 citations), Cardiology and Cardiovascular Medicine (695 citations), Biomedical Engineering (633 citations), Health Informatics (35 citations) and Computer Vision and Pattern Recognition (275 citations). Jack Lee has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Nicolas P. Smith, David Nordsletten, Radomí­r Chabiniok, Andrew N. Cookson, Myrianthi Hadjicharalambous, Liya Asner, Reza Razavi, Eric Kerfoot, C. Michler and Andrew Peter King. Their work appears in journals such as Annals of Biomedical Engineering, Biomechanics and Modeling in Mechanobiology, IEEE Transactions on Biomedical Engineering, Scientific Reports and PLoS ONE.

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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