Jae K. Lee
- Molecular Biology top 2%
- Oncology top 5%
- Cancer Research top 2%
- Information Systems and Management top 0.5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Efraim TurbanDavid A. KingH. Michael ChungJohn N. WeinsteinWilliam C. ReinholdUwe ScherfDan TheodorescuMark Waltham
- Topics
- Gene expression and cancer classification (20 papers)Bioinformatics and Genomic Networks (10 papers)Molecular Biology Techniques and Applications (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jae K. Lee
67 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Molecular Biology 2.7k
- Oncology 740
- Cancer Research 664
- Information Systems and Management 490
- Computational Theory and Mathematics 404
Countries citing papers authored by Jae K. Lee
This map shows the geographic impact of Jae K. 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 K. 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 K. Lee more than expected).
Fields of papers citing papers by Jae K. Lee
This network shows the impact of papers produced by Jae K. 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 K. Lee. The network helps show where Jae K. Lee may publish in the future.
Co-authorship network of co-authors of Jae K. Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jae K. Lee. A scholar is included among the top collaborators of Jae K. 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 K. Lee. Jae K. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 86 | |
| 3 | 8 | |
| 4 | 29 | |
| 5 | 79 | |
| 6 | 20 | |
| 7 | 100 | |
| 8 | 27 | |
| 9 | 28 | |
| 10 | 15 | |
| 11 | 60 | |
| 12 | 124 | |
| 13 | 57 | |
| 14 | 18 | |
| 15 | 8 | |
| 16 | Calix(4)azacrown Ethers in Polymeric CTA Membrane | 12 |
| 17 | 12 | |
| 18 | 52 | |
| 19 | 26 | |
| 20 | 13 |
About Jae K. Lee
Jae K. Lee is a scholar working on Molecular Biology, Developmental Neuroscience and Cancer Research, having authored 68 papers that have together received 5.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (10 papers) and Molecular Biology Techniques and Applications (7 papers). The work is most often cited by research in Information Systems and Management (490 citations), Cancer Research (664 citations) and Molecular Biology (2.7k citations). Jae K. Lee has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Efraim Turban, David A. King, H. Michael Chung, John N. Weinstein, William C. Reinhold, Uwe Scherf, Dan Theodorescu, Mark Waltham, Dominic A. Scudiero and Darren T. Andrews. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.