Sungtae Lee

1.0k total citations
11 papers, 690 citations indexed

About

Sungtae Lee is a scholar working on Molecular Biology, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Sungtae Lee has authored 11 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Computer Networks and Communications and 1 paper in Sociology and Political Science. Recurrent topics in Sungtae Lee's work include CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (6 papers) and Optimization and Search Problems (1 paper). Sungtae Lee is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (6 papers) and Optimization and Search Problems (1 paper). Sungtae Lee collaborates with scholars based in South Korea, Japan and United States. Sungtae Lee's co-authors include Seokjoong Kim, Hui Kwon Kim, Jinman Park, Seonwoo Min, Sungroh Yoon, Jae Woo Choi, Younggwang Kim, Goosang Yu, Jung Hwa Seo and Sung‐Rae Cho and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Science Advances.

In The Last Decade

Sungtae Lee

9 papers receiving 677 citations

Peers

Sungtae Lee
Gue‐Ho Hwang South Korea
Younggwang Kim South Korea
Lea B. Witkowsky United States
András Tálas Hungary
Erik Wernersson Sweden
Jianhang Yin China
Do Yon Kim South Korea
Su Bin Moon South Korea
You Kyeong Jeong South Korea
Y. Esther Tak United States
Gue‐Ho Hwang South Korea
Sungtae Lee
Citations per year, relative to Sungtae Lee Sungtae Lee (= 1×) peers Gue‐Ho Hwang

Countries citing papers authored by Sungtae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sungtae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungtae Lee

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

All Works

11 of 11 papers shown
1.
2.
Min, Seonwoo, Sungtae Lee, Jung Hwa Seo, et al.. (2023). Massively parallel evaluation and computational prediction of the activities and specificities of 17 small Cas9s. Nature Methods. 20(7). 999–1009. 12 indexed citations
3.
Lee, Sungtae, et al.. (2021). Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. arXiv (Cornell University). 9780–9790. 1 indexed citations
4.
Kim, Hui Kwon, Sungtae Lee, Younggwang Kim, et al.. (2020). Sequence-specific prediction of the efficiencies of adenine and cytosine base editors. Nature Biotechnology. 38(9). 1037–1043. 81 indexed citations
5.
Kim, Nahye, Hui Kwon Kim, Sungtae Lee, et al.. (2020). Prediction of the sequence-specific cleavage activity of Cas9 variants. Nature Biotechnology. 38(11). 1328–1336. 146 indexed citations
6.
Kim, Hui Kwon, Goosang Yu, Jinman Park, et al.. (2020). Predicting the efficiency of prime editing guide RNAs in human cells. Nature Biotechnology. 39(2). 198–206. 193 indexed citations
7.
Kim, Hui Kwon, Sungtae Lee, Younggwang Kim, et al.. (2020). High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells. Nature Biomedical Engineering. 4(1). 111–124. 106 indexed citations
8.
Lee, Sungtae, Kwan‐Ho Park, & Hyung-Woo Park. (2020). Sound Quality Enhancement by using the Single Core Exciter in OLED Panel. KSII Transactions on Internet and Information Systems. 14(2).
9.
Kim, Hui Kwon, Younggwang Kim, Sungtae Lee, et al.. (2019). SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance. Science Advances. 5(11). eaax9249–eaax9249. 140 indexed citations
10.
Lee, Sungtae, et al.. (2019). Improved sound quality by using the exciter speaker in OLED panel. Journal of the Society for Information Display. 28(3). 297–307. 5 indexed citations
11.
Lee, Sungtae, et al.. (2018). 16‐3: Study on Enhancement of the Sound Quality by Improvement of Panel Vibration in OLED TV. SID Symposium Digest of Technical Papers. 49(1). 185–187. 6 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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2026