Seonok Lee

1.8k total citations · 1 hit paper
9 papers, 1.4k citations indexed

About

Seonok Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Seonok Lee has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Seonok Lee's work include Hippo pathway signaling and YAP/TAZ (3 papers), RNA Interference and Gene Delivery (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Seonok Lee is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (3 papers), RNA Interference and Gene Delivery (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Seonok Lee collaborates with scholars based in United States, United Kingdom and China. Seonok Lee's co-authors include Jonah R. Chan, Ben Margolis, Stephanie Redmond, Suet Yen Chong, Samuel J. Tuck, Michelle K. Leach, Synthia H. Mellon, Joseph M. Corey, Olga V. Makarova and Kunyoo Shin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Seonok Lee

8 papers receiving 1.3k citations

Hit Papers

Micropillar arrays as a high-throughput screening platfor... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seonok Lee United States 8 648 560 383 381 333 9 1.4k
Jufang Chang United States 11 695 1.1× 547 1.0× 153 0.4× 632 1.7× 187 0.6× 16 1.4k
Swetlana Sirko Germany 16 639 1.0× 406 0.7× 347 0.9× 380 1.0× 349 1.0× 25 1.4k
Carmen V. Melendez‐Vasquez United States 17 510 0.8× 464 0.8× 400 1.0× 734 1.9× 187 0.6× 26 1.4k
Sylvia Soares France 17 454 0.7× 429 0.8× 195 0.5× 569 1.5× 110 0.3× 25 1.1k
Giorgia Dina Italy 21 1.1k 1.6× 762 1.4× 401 1.0× 1.2k 3.1× 513 1.5× 32 2.5k
Christoph Pröschel United States 17 634 1.0× 809 1.4× 165 0.4× 650 1.7× 156 0.5× 29 1.6k
Sigrid Henke‐Fahle Germany 21 922 1.4× 402 0.7× 349 0.9× 853 2.2× 143 0.4× 37 2.1k
Monte Gates United Kingdom 19 914 1.4× 984 1.8× 396 1.0× 979 2.6× 188 0.6× 38 1.9k
Christian Brösamle Switzerland 13 508 0.8× 734 1.3× 327 0.9× 978 2.6× 184 0.6× 20 1.6k
Dino P. Leone United States 16 1.0k 1.6× 773 1.4× 314 0.8× 786 2.1× 191 0.6× 19 1.9k

Countries citing papers authored by Seonok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seonok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seonok Lee

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

All Works

9 of 9 papers shown
1.
Mei, Feng, Stephen P.J. Fancy, Yun‐An Shen, et al.. (2014). Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis. Nature Medicine. 20(8). 954–960. 432 indexed citations breakdown →
2.
Lee, Seonok, Suet Yen Chong, Samuel J. Tuck, Joseph M. Corey, & Jonah R. Chan. (2013). A rapid and reproducible assay for modeling myelination by oligodendrocytes using engineered nanofibers. Nature Protocols. 8(4). 771–782. 99 indexed citations
3.
Maiya, Rajani, Seonok Lee, Karen H. Berger, et al.. (2012). DlgS97/SAP97, a Neuronal Isoform of Discs Large, Regulates Ethanol Tolerance. PLoS ONE. 7(11). e48967–e48967. 15 indexed citations
4.
Lee, Seonok, Michelle K. Leach, Stephanie Redmond, et al.. (2012). A culture system to study oligodendrocyte myelination processes using engineered nanofibers. Nature Methods. 9(9). 917–922. 312 indexed citations
5.
Lee, Seonok. (2007). The symbolism of Flowering Plum and Ink Plum Painting. 1(40). 37–78.
6.
Wolf, Fred W., et al.. (2007). GSK-3/Shaggy regulates olfactory habituation in Drosophila. Proceedings of the National Academy of Sciences. 104(11). 4653–4657. 29 indexed citations
7.
Karnak, David, Seonok Lee, & Ben Margolis. (2002). Identification of Multiple Binding Partners for the Amino-terminal Domain of Synapse-associated Protein 97. Journal of Biological Chemistry. 277(48). 46730–46735. 50 indexed citations
8.
Roh, Michael H., Olga V. Makarova, Chia‐Jen Liu, et al.. (2002). The Maguk protein, Pals1, functions as an adapter, linking mammalian homologues of Crumbs and Discs Lost. The Journal of Cell Biology. 157(1). 161–172. 299 indexed citations
9.
Lee, Seonok, et al.. (2002). A Novel and Conserved Protein-Protein Interaction Domain of Mammalian Lin-2/CASK Binds and Recruits SAP97 to the Lateral Surface of Epithelia. Molecular and Cellular Biology. 22(6). 1778–1791. 124 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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