Taekyu Lee

2.3k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Taekyu Lee is a scholar working on Molecular Biology, Organic Chemistry and Hematology. According to data from OpenAlex, Taekyu Lee has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Organic Chemistry and 6 papers in Hematology. Recurrent topics in Taekyu Lee's work include Cancer therapeutics and mechanisms (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Taekyu Lee is often cited by papers focused on Cancer therapeutics and mechanisms (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Taekyu Lee collaborates with scholars based in United States, South Korea and Spain. Taekyu Lee's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Biochemistry.

In The Last Decade

Taekyu Lee

31 papers receiving 1.5k citations

Hit Papers

MYC and MCL1 Cooperatively Promote Chemotherapy-Resistant... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Taekyu Lee
Fleur M. Ferguson United States
Michael Ohlmeyer United States
Kenna Anderes United States
H. Ümit Kanıskan United States
David M. Ryckman United States
Mikel P. Moyer United States
Fleur M. Ferguson United States
Taekyu Lee
Citations per year, relative to Taekyu Lee Taekyu Lee (= 1×) peers Fleur M. Ferguson

Countries citing papers authored by Taekyu Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Taekyu Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Taekyu Lee. A scholar is included among the top collaborators of Taekyu 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 Taekyu Lee. Taekyu Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Park, Jin-Yong, Seongjun Kim, Taekyu Lee, et al.. (2025). The Effect of Sulfur Concentration on the Crystallization and Electrochemical Behavior of Portland Cement. Crystals. 15(4). 358–358.
2.
Jo, H.H., Yoon‐Seok Lee, Sanghun Lee, et al.. (2025). Impact of Ag Coating Thickness on the Electrochemical Behavior of Super Duplex Stainless Steel SAF2507 for Enhanced Li-Ion Battery Cases. Crystals. 15(1). 62–62. 2 indexed citations
3.
Kim, Seong‐Jun, Jin-Yong Park, Taekyu Lee, et al.. (2025). The Effect of Carbon on the Crystallization and Electrochemical Behavior of Portland Cement. Crystals. 15(2). 189–189. 2 indexed citations
4.
Park, Hyunjoon, et al.. (2025). Culture-based characterization of gut microbiota in inflammatory bowel disease. Frontiers in Microbiology. 16. 1538620–1538620. 1 indexed citations
5.
Meyer, Christian T., Jing Wang, Brian C. Grieb, et al.. (2024). Expanded profiling of WD repeat domain 5 inhibitors reveals actionable strategies for the treatment of hematologic malignancies. Proceedings of the National Academy of Sciences. 121(35). e2408889121–e2408889121. 4 indexed citations
6.
Lee, Taekyu, et al.. (2024). Medical Ethics and Artificial Intelligence in Neurosurgery—How Should We Prepare?. World Neurosurgery. 187. e199–e209. 5 indexed citations
7.
Tian, Jianhua, Changho Han, Kenneth M. Meyers, et al.. (2023). Structure-Based Discovery of Potent, Orally Bioavailable Benzoxazepinone-Based WD Repeat Domain 5 Inhibitors. Journal of Medicinal Chemistry. 66(24). 16783–16806. 7 indexed citations
8.
Howard, Gregory C., Jing Wang, Kristie L. Rose, et al.. (2023). Ribosome subunit attrition and activation of the p53–MDM4 axis dominate the response of MLL-rearranged cancer cells to WDR5 WIN site inhibition. eLife. 12. 9 indexed citations
9.
Lee, Min Ho & Taekyu Lee. (2022). Cadaver-Free Neurosurgical Simulation Using a 3-Dimensional Printer and Augmented Reality. Operative Neurosurgery. 23(1). 46–52. 10 indexed citations
10.
Meyers, Kenneth M., Jianhua Tian, Joseph Alvarado, et al.. (2022). Discovery of Potent Orally Bioavailable WD Repeat Domain 5 (WDR5) Inhibitors Using a Pharmacophore-Based Optimization. Journal of Medicinal Chemistry. 65(8). 6287–6312. 21 indexed citations
11.
Zhao, Bin, Feng Wang, Qi Sun, et al.. (2019). Fragment-based screening of programmed death ligand 1 (PD-L1). Bioorganic & Medicinal Chemistry Letters. 29(6). 786–790. 44 indexed citations
12.
Ramsey, Haley E., Melissa A. Fischer, Taekyu Lee, et al.. (2018). A Novel MCL1 Inhibitor Combined with Venetoclax Rescues Venetoclax-Resistant Acute Myelogenous Leukemia. Cancer Discovery. 8(12). 1566–1581. 254 indexed citations
13.
Burns, Michael C., Jennifer E. Howes, Qi Sun, et al.. (2018). High-throughput screening identifies small molecules that bind to the RAS:SOS:RAS complex and perturb RAS signaling. Analytical Biochemistry. 548. 44–52. 37 indexed citations
14.
Zhao, Bin, Allison L. Arnold, J Lee, et al.. (2018). Understanding the Species Selectivity of Myeloid Cell Leukemia-1 (Mcl-1) Inhibitors. Biochemistry. 57(32). 4952–4958. 7 indexed citations
15.
Zhao, Bin, John Sensintaffar, Zhiguo Bian, et al.. (2017). Structure of a Myeloid cell leukemia-1 (Mcl-1) inhibitor bound to drug site 3 of Human Serum Albumin. Bioorganic & Medicinal Chemistry. 25(12). 3087–3092. 17 indexed citations
16.
Lee, Kyung‐min, Jennifer M. Giltnane, Justin M. Balko, et al.. (2017). MYC and MCL1 Cooperatively Promote Chemotherapy-Resistant Breast Cancer Stem Cells via Regulation of Mitochondrial Oxidative Phosphorylation. Cell Metabolism. 26(4). 633–647.e7. 479 indexed citations breakdown →
17.
Lee, Taekyu, et al.. (2014). Asystole during microvascular decompression in case of trigeminal neuralgia-A case report-. Anesthesia and Pain Medicine. 9(1). 58–60.
18.
Friberg, Anders, Dominico Vigil, Bin Zhao, et al.. (2012). Discovery of Potent Myeloid Cell Leukemia 1 (Mcl-1) Inhibitors Using Fragment-Based Methods and Structure-Based Design. Journal of Medicinal Chemistry. 56(1). 15–30. 232 indexed citations
19.
Sun, Qi, Jason P. Burke, Jason Phan, et al.. (2012). Discovery of Small Molecules that Bind to K‐Ras and Inhibit Sos‐Mediated Activation. Angewandte Chemie. 124(25). 6244–6247. 45 indexed citations
20.
Lee, Taekyu, et al.. (2012). Single Mode Lasing in InGaAsP/InP Semiconductor Coupled Square Ring Cavities. Journal of the Optical Society of Korea. 16(2). 157–161. 3 indexed citations

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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