Taewon Lee

92 total papers · 1.6k total citations
56 papers, 1.2k citations indexed

About

Taewon Lee is a scholar working on Molecular Biology, Materials Chemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Taewon Lee has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Materials Chemistry and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Taewon Lee's work include Chemotherapy-induced cardiotoxicity and mitigation (7 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (6 papers). Taewon Lee is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (7 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (6 papers). Taewon Lee collaborates with scholars based in South Korea, United States and Russia. Taewon Lee's co-authors include Varsha G. Desai, Carrie L. Moland, William S. Branham, James C. Fuscoe, Sherry M. Lewis, Robert R. Delongchamp, Eugene H. Herman, Kelly J. Davis, Je Chul Lee and Ji‐Hyun Shin and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Power Sources.

In The Last Decade

Taewon Lee

56 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Taewon Lee 355 208 117 96 95 56 1.2k
Masahiro Tomita 538 1.5× 211 1.0× 74 0.6× 34 0.4× 66 0.7× 61 1.3k
Xin Yue 233 0.7× 94 0.5× 46 0.4× 192 2.0× 117 1.2× 69 1.4k
Jiajia Pan 489 1.4× 91 0.4× 178 1.5× 71 0.7× 146 1.5× 94 1.4k
Akira Kawashima 256 0.7× 64 0.3× 66 0.6× 180 1.9× 30 0.3× 88 1.0k
Hua Liu 541 1.5× 115 0.6× 63 0.5× 174 1.8× 20 0.2× 57 1.2k
Yingchao Wang 421 1.2× 40 0.2× 128 1.1× 105 1.1× 56 0.6× 65 1.1k
Hye‐Yeon Kim 592 1.7× 98 0.5× 143 1.2× 152 1.6× 8 0.1× 88 1.2k
Yu‐Ching Chen 382 1.1× 133 0.6× 199 1.7× 163 1.7× 29 0.3× 71 1.2k
Wanqi Yang 402 1.1× 90 0.4× 76 0.6× 61 0.6× 33 0.3× 58 1.3k
Linjun Cai 512 1.4× 57 0.3× 35 0.3× 147 1.5× 113 1.2× 68 1.1k

Countries citing papers authored by Taewon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Taewon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taewon Lee

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