Jae Woon Lee

168 total papers · 4.7k total citations
107 papers, 3.9k citations indexed

About

Jae Woon Lee is a scholar working on Molecular Biology, Genetics and Political Science and International Relations. According to data from OpenAlex, Jae Woon Lee has authored 107 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 32 papers in Genetics and 14 papers in Political Science and International Relations. Recurrent topics in Jae Woon Lee's work include Estrogen and related hormone effects (30 papers), Retinoids in leukemia and cellular processes (29 papers) and International Law and Aviation (13 papers). Jae Woon Lee is often cited by papers focused on Estrogen and related hormone effects (30 papers), Retinoids in leukemia and cellular processes (29 papers) and International Law and Aviation (13 papers). Jae Woon Lee collaborates with scholars based in South Korea, United States and Hong Kong. Jae Woon Lee's co-authors include Soo‐Kyung Lee, David D. Moore, Suhn‐Young Im, Robert G. Roeder, Seunghee Lee, Young Chul Lee, Stephen Albert Johnston, Hueng-Sik Choi, Jonathan C. Swaffield and Fergus Ryan and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jae Woon Lee

96 papers receiving 3.8k citations

Hit Papers

Regulation of MLL1 H3K4 m... 2006 2026 2012 2019 2006 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Jae Woon Lee 2.8k 1.3k 603 553 527 107 3.9k
Kirby D. Smith 4.6k 1.6× 1.5k 1.2× 421 0.7× 403 0.7× 355 0.7× 93 6.3k
Peilin Zhang 2.1k 0.7× 634 0.5× 620 1.0× 616 1.1× 780 1.5× 101 3.8k
Chon‐Hwa Tsai‐Morris 2.4k 0.9× 1.5k 1.1× 415 0.7× 429 0.8× 357 0.7× 80 4.4k
Masaharu Sakai 2.2k 0.8× 889 0.7× 647 1.1× 371 0.7× 234 0.4× 70 3.4k
Dianne Robert Soprano 3.2k 1.1× 826 0.6× 456 0.8× 493 0.9× 294 0.6× 107 4.0k
Kristen Jepsen 3.3k 1.2× 1.3k 1.0× 737 1.2× 767 1.4× 700 1.3× 49 4.9k
Jinsong Zhang 3.8k 1.4× 939 0.7× 525 0.9× 758 1.4× 794 1.5× 134 5.9k
Hung‐Ying Kao 5.3k 1.9× 1.5k 1.1× 739 1.2× 952 1.7× 525 1.0× 78 6.3k
Eric D. Wieben 2.9k 1.0× 775 0.6× 285 0.5× 739 1.3× 343 0.7× 109 5.4k
Xiao-kun Zhang 3.4k 1.2× 2.1k 1.7× 607 1.0× 353 0.6× 304 0.6× 76 4.2k

Countries citing papers authored by Jae Woon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jae Woon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae Woon Lee

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