Ethan Lee

8.5k total citations · 2 hit papers
103 papers, 6.2k citations indexed

About

Ethan Lee is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Ethan Lee has authored 103 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 20 papers in Cell Biology and 15 papers in Oncology. Recurrent topics in Ethan Lee's work include Wnt/β-catenin signaling in development and cancer (39 papers), Cancer-related gene regulation (34 papers) and Microtubule and mitosis dynamics (16 papers). Ethan Lee is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (39 papers), Cancer-related gene regulation (34 papers) and Microtubule and mitosis dynamics (16 papers). Ethan Lee collaborates with scholars based in United States, China and Singapore. Ethan Lee's co-authors include Marc W. Kirschner, Adrian Salic, Alfred G. Gilman, Stephen R. Sprang, David E. Coleman, Jorge A. Iñiguez‐Lluhí, Bruce A. Posner, M. A. Wall, Curtis A. Thorne and Laura A. Lee and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ethan Lee

98 papers receiving 6.1k citations

Hit Papers

The structure of the G protein heterotrimer Giα1β1γ2 1995 2026 2005 2015 1995 2003 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ethan Lee United States 39 5.0k 1.0k 781 513 512 103 6.2k
Jens Peter von Kries Germany 32 5.0k 1.0× 552 0.5× 878 1.1× 315 0.6× 560 1.1× 86 6.2k
Frank N. van Leeuwen Netherlands 45 3.3k 0.6× 1.4k 1.3× 593 0.8× 373 0.7× 353 0.7× 112 6.7k
Anne Marie Quinn United States 17 5.0k 1.0× 1.1k 1.1× 791 1.0× 472 0.9× 583 1.1× 32 6.7k
Robert Latek United States 17 5.4k 1.1× 812 0.8× 936 1.2× 328 0.6× 496 1.0× 31 7.6k
Henrik Daub Germany 35 5.4k 1.1× 1.1k 1.1× 1.7k 2.2× 703 1.4× 305 0.6× 56 7.6k
Michael F. Moran Canada 44 5.5k 1.1× 1.2k 1.1× 1.5k 1.9× 379 0.7× 435 0.8× 120 7.3k
Anne Fernandez France 43 5.6k 1.1× 1.6k 1.6× 1.4k 1.7× 417 0.8× 553 1.1× 72 6.8k
Pradipta Ghosh United States 40 3.4k 0.7× 1.5k 1.4× 643 0.8× 240 0.5× 330 0.6× 146 5.3k
Jeffrey Field United States 45 4.8k 1.0× 1.6k 1.6× 984 1.3× 494 1.0× 631 1.2× 87 6.7k
Jill Meisenhelder United States 23 4.1k 0.8× 736 0.7× 897 1.1× 338 0.7× 311 0.6× 45 5.4k

Countries citing papers authored by Ethan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ethan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ethan Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ethan Lee. A scholar is included among the top collaborators of Ethan 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 Ethan Lee. Ethan 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.
Robbins, David J., et al.. (2024). Wnt signalosomes: What we know that we do not know. BioEssays. 47(2). e2400110–e2400110. 4 indexed citations
2.
An, Zhenyi, Qi-Wen Fan, Linyu Wang, et al.. (2024). EGFR and EGFRvIII coopt host defense pathways promoting progression in glioblastoma. Neuro-Oncology. 27(2). 383–397. 4 indexed citations
3.
Benchabane, Hassina, Kai Yuan, Andres M. Lebensohn, et al.. (2023). The USP46 deubiquitylase complex increases Wingless/Wnt signaling strength by stabilizing Arrow/LRP6. Nature Communications. 14(1). 6174–6174. 4 indexed citations
4.
Pilat, Jennifer M., Rachel E. Brown, Zhengyi Chen, et al.. (2023). SELENOP modifies sporadic colorectal carcinogenesis and WNT signaling activity through LRP5/6 interactions. Journal of Clinical Investigation. 133(13). 11 indexed citations
5.
Bauer, Joshua A., David Westover, Barbara Murphy, et al.. (2022). Utilizing Three-Dimensional Culture Methods to Improve High-Throughput Drug Screening in Anaplastic Thyroid Carcinoma. Cancers. 14(8). 1855–1855. 2 indexed citations
6.
Loberg, Matthew A., et al.. (2022). Wnt Signaling in the Phenotype and Function of Tumor-Associated Macrophages. Cancer Research. 83(1). 3–11. 16 indexed citations
7.
Khodo, Stellor Nlandu, Lauren Scarfe, Haichun Yang, et al.. (2020). Tubular β-catenin and FoxO3 interactions protect in chronic kidney disease. JCI Insight. 5(10). 23 indexed citations
8.
Saito‐Diaz, Kenyi, Hassina Benchabane, Ajit Tiwari, et al.. (2018). APC Inhibits Ligand-Independent Wnt Signaling by the Clathrin Endocytic Pathway. Developmental Cell. 44(5). 566–581.e8. 66 indexed citations
9.
Neitzel, Leif R., Nailing Zhang, Heather A. Wallace, et al.. (2018). Characterization of acdc14null allele inDrosophila melanogaster. Biology Open. 7(7). 6 indexed citations
10.
Khodo, Stellor Nlandu, Marika Manolopoulou, Gautam Bhave, et al.. (2017). Blocking TGF-β and β-Catenin Epithelial Crosstalk Exacerbates CKD. Journal of the American Society of Nephrology. 28(12). 3490–3503. 48 indexed citations
11.
Schneider, Craig S., Qingguo Xu, Nicholas J. Boylan, et al.. (2017). Nanoparticles that do not adhere to mucus provide uniform and long-lasting drug delivery to airways following inhalation. Science Advances. 3(4). e1601556–e1601556. 237 indexed citations
12.
Wang, Zhiqiang, Xiaoqing Han, Ke Jin, et al.. (2016). The Small Molecule IMR-1 Inhibits the Notch Transcriptional Activation Complex to Suppress Tumorigenesis. Cancer Research. 76(12). 3593–3603. 59 indexed citations
13.
Ma, Yufang, Lihong Wang, Leif R. Neitzel, et al.. (2016). The MAPK Pathway Regulates Intrinsic Resistance to BET Inhibitors in Colorectal Cancer. Clinical Cancer Research. 23(8). 2027–2037. 56 indexed citations
14.
Li, Bin, Dennis Liang Fei, Colin A. Flaveny, et al.. (2014). Pyrvinium Attenuates Hedgehog Signaling Downstream of Smoothened. Cancer Research. 74(17). 4811–4821. 65 indexed citations
15.
Wang, Zhenghan, et al.. (2013). Toggling a conformational switch in Wnt/β‐catenin signaling: Regulation of Axin phosphorylation. BioEssays. 35(12). 1063–1070. 22 indexed citations
16.
Barham, Whitney, Andrea L. Frump, Taylor P. Sherrill, et al.. (2013). Targeting the Wnt Pathway in Synovial Sarcoma Models. Cancer Discovery. 3(11). 1286–1301. 57 indexed citations
17.
Singh, Samer, Zhiqiang Wang, Dennis Liang Fei, et al.. (2011). Hedgehog-Producing Cancer Cells Respond to and Require Autocrine Hedgehog Activity. Cancer Research. 71(13). 4454–4463. 40 indexed citations
18.
Jernigan, Kristin K., Curtis A. Thorne, Alison Hanson, et al.. (2010). Gβγ Activates GSK3 to Promote LRP6-Mediated β-Catenin Transcriptional Activity. Science Signaling. 3(121). ra37–ra37. 47 indexed citations
19.
Jernigan, Kristin K., et al.. (2008). LRP6 transduces a canonical Wnt signal independently of Axin degradation by inhibiting GSK3's phosphorylation of β-catenin. Proceedings of the National Academy of Sciences. 105(23). 8032–8037. 163 indexed citations
20.
Tahinci, Emilios, Curtis A. Thorne, Jeffrey L. Franklin, et al.. (2007). Lrp6 is required for convergent extension during Xenopus gastrulation. Development. 134(22). 4095–4106. 59 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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