Taekyu Lee
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments 4
- Cancer Research top 10%
- Molecular Biology top 10%
- Cancer therapeutics and mechanisms 4
- Protein Kinase Regulation and GTPase Signaling 4
- Protein Degradation and Inhibitors 4
- Cell death mechanisms and regulation 3
- Oncology top 10%
-
- Synthesis and Biological Evaluation 3
-
- Concrete and Cement Materials Research 3
-
- Smart Materials for Construction 2
- Co-authors
- Stephen W. FesikEdward T. OlejniczakBin ZhaoDeMarco V. CamperAnders FribergJohn SensintaffarJason P. BurkeDominico Vigil
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Oncology (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesSouth KoreaSpain
In The Last Decade
Taekyu Lee
31 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Hematology 218
- Cancer Research 257
- Molecular Biology 1.2k
- Oncology 401
- Computational Theory and Mathematics 168
Countries citing papers authored by Taekyu Lee
This map shows the geographic impact of Taekyu 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 Taekyu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taekyu Lee more than expected).
Fields of papers citing papers by Taekyu Lee
This network shows the impact of papers produced by Taekyu 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 Taekyu Lee. The network helps show where Taekyu Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taekyu Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 21 | |
| 11 | 2019 | 44 | |
| 12 | 2018 | 254 | |
| 13 | 2018 | 37 | |
| 14 | 2018 | 7 | |
| 15 | 2017 | 17 | |
| 16 | MYC and MCL1 Cooperatively Promote Chemotherapy-Resistant Breast Cancer Stem Cells via Regulation of Mitochondrial Oxidative Phosphorylationbreakdown → | 2017 | 479 |
| 17 | Asystole during microvascular decompression in case of trigeminal neuralgia-A case report- | 2014 | 0 |
| 18 | 2012 | 232 | |
| 19 | 2012 | 45 | |
| 20 | 2012 | 3 |
About Taekyu Lee
Taekyu Lee is a scholar working on Health Informatics, Hematology and Toxicology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Protein Degradation and Inhibitors (4 papers), Cell death mechanisms and regulation (3 papers), Synthesis and Biological Evaluation (3 papers), Concrete and Cement Materials Research (3 papers) and Smart Materials for Construction (2 papers). The work is most often cited by research in Hematology (218 citations), Cancer Research (257 citations) and Molecular Biology (1.2k citations). Taekyu Lee has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Stephen W. Fesik, Edward T. Olejniczak, Bin Zhao, DeMarco V. Camper, Anders Friberg, John Sensintaffar, Jason P. Burke, Dominico Vigil, Kyung‐min Lee and Mellissa J. Nixon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Biochemistry.
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.