Matthew Lee

32 total papers · 911 total citations
10 papers, 561 citations indexed

About

Matthew Lee is a scholar working on Surgery, Biomedical Engineering and Psychiatry and Mental health. According to data from OpenAlex, Matthew Lee has authored 10 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Biomedical Engineering and 3 papers in Psychiatry and Mental health. Recurrent topics in Matthew Lee's work include Anatomy and Medical Technology (5 papers), Surgical Simulation and Training (5 papers) and Cardiac and Coronary Surgery Techniques (2 papers). Matthew Lee is often cited by papers focused on Anatomy and Medical Technology (5 papers), Surgical Simulation and Training (5 papers) and Cardiac and Coronary Surgery Techniques (2 papers). Matthew Lee collaborates with scholars based in United Kingdom, United States and Egypt. Matthew Lee's co-authors include Jonathan Myers, B. Jenny Kiratli, Giovanni Biglino, Massimo Caputo, Elena Giulia Milano, Robert Tulloh, Jo Wray, Andrew M. Taylor, Silvia Schievano and Claudio Capelli and has published in prestigious journals such as BMJ Open, British Journal of Radiology and American Journal of Physical Medicine & Rehabilitation.

In The Last Decade

Matthew Lee

10 papers receiving 550 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew Lee 409 143 139 124 118 10 561
Suparna Rajan 300 0.7× 89 0.6× 74 0.5× 57 0.5× 27 0.2× 18 541
Stella Engel 331 0.8× 163 1.1× 71 0.5× 28 0.2× 96 0.8× 19 557
Stephen M. Tuel 179 0.4× 155 1.1× 75 0.5× 41 0.3× 86 0.7× 25 643
T Sluis 503 1.2× 68 0.5× 235 1.7× 26 0.2× 43 0.4× 11 656
Y Chen 334 0.8× 94 0.7× 65 0.5× 30 0.2× 16 0.1× 9 509
Fabian Stahl 154 0.4× 144 1.0× 52 0.4× 268 2.2× 91 0.8× 17 556
Mary Schmidt Read 461 1.1× 172 1.2× 221 1.6× 14 0.1× 54 0.5× 16 671
Gregory J. Schilero 290 0.7× 164 1.1× 24 0.2× 66 0.5× 25 0.2× 26 652
A T Jousse 337 0.8× 210 1.5× 28 0.2× 35 0.3× 37 0.3× 11 580
David Balser 214 0.5× 272 1.9× 74 0.5× 25 0.2× 36 0.3× 16 669

Countries citing papers authored by Matthew Lee

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Lee

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