Tet Woo Lee

27 total papers · 460 total citations
19 papers, 314 citations indexed

About

Tet Woo Lee is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Tet Woo Lee has authored 19 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Tet Woo Lee's work include Protease and Inhibitor Mechanisms (6 papers), Signaling Pathways in Disease (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Tet Woo Lee is often cited by papers focused on Protease and Inhibitor Mechanisms (6 papers), Signaling Pathways in Disease (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Tet Woo Lee collaborates with scholars based in New Zealand, United States and Australia. Tet Woo Lee's co-authors include Nigel P. Birch, David L. Christie, Victor M. Borges, Michael P. Hay, Francis W. Hunter, William R. Wilson, Sergey Tumanov, Silas G. Villas‐Bôas, Johanna M. Montgomery and Stephen M. F. Jamieson and has published in prestigious journals such as Cancer Research, Journal of Neurochemistry and Proteins Structure Function and Bioinformatics.

In The Last Decade

Tet Woo Lee

17 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
Tet Woo Lee 164 108 54 47 39 19 314
Yasunari Yamanaka 220 1.3× 93 0.9× 33 0.6× 28 0.6× 28 0.7× 14 319
Federica Storti 177 1.1× 74 0.7× 27 0.5× 19 0.4× 25 0.6× 20 353
Eszter Angéla Tóth 155 0.9× 39 0.4× 25 0.5× 26 0.6× 38 1.0× 23 334
Harutyun Melkonyan 232 1.4× 50 0.5× 26 0.5× 17 0.4× 23 0.6× 20 363
Cristina Zalfa 108 0.7× 55 0.5× 74 1.4× 27 0.6× 21 0.5× 15 339
Krishna A. Jhaveri 124 0.8× 50 0.5× 21 0.4× 55 1.2× 25 0.6× 12 348
John C.T. Wong 137 0.8× 38 0.4× 41 0.8× 50 1.1× 50 1.3× 12 310
Matthew B. Neu 163 1.0× 46 0.4× 39 0.7× 79 1.7× 23 0.6× 12 340
Simon Tol 184 1.1× 33 0.3× 26 0.5× 87 1.9× 25 0.6× 19 328
Maarten Dewilde 149 0.9× 42 0.4× 37 0.7× 16 0.3× 28 0.7× 23 272

Countries citing papers authored by Tet Woo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Tet Woo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tet Woo Lee

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