Sua Myong

9.9k total citations · 2 hit papers
111 papers, 6.6k citations indexed

About

Sua Myong is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Sua Myong has authored 111 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Immunology. Recurrent topics in Sua Myong's work include RNA Research and Splicing (39 papers), DNA and Nucleic Acid Chemistry (34 papers) and RNA and protein synthesis mechanisms (33 papers). Sua Myong is often cited by papers focused on RNA Research and Splicing (39 papers), DNA and Nucleic Acid Chemistry (34 papers) and RNA and protein synthesis mechanisms (33 papers). Sua Myong collaborates with scholars based in United States, United Kingdom and South Korea. Sua Myong's co-authors include Taekjip Ha, Helen Hwang, Clifford P. Brangwynne, Shana Elbaum‐Garfinkle, Christian R. Eckmann, Younghoon Kim, Krzysztof Szczepaniak, Ramreddy Tippana, Ivan Rasnik and Timothy M. Lohman and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sua Myong

104 papers receiving 6.5k citations

Hit Papers

The disordered P granule protein LAF-1 drives phase separ... 2015 2026 2018 2022 2015 2018 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
Sua Myong United States 41 5.6k 580 430 416 397 111 6.6k
Lynne Regan United States 52 7.7k 1.4× 391 0.7× 373 0.9× 334 0.8× 735 1.9× 173 9.2k
Ulrich Rothbauer Germany 38 4.7k 0.8× 561 1.0× 366 0.9× 123 0.3× 532 1.3× 91 6.3k
Tanja Mittag United States 34 10.7k 1.9× 395 0.7× 172 0.4× 361 0.9× 357 0.9× 75 12.1k
Hidehito Tochio Japan 36 3.4k 0.6× 491 0.8× 250 0.6× 229 0.6× 321 0.8× 89 5.0k
Karsten Rippe Germany 56 9.7k 1.7× 543 0.9× 585 1.4× 480 1.2× 1.2k 3.0× 167 11.3k
Pau Bernadó France 44 5.2k 0.9× 334 0.6× 178 0.4× 379 0.9× 360 0.9× 131 6.4k
Alex S. Holehouse United States 42 8.5k 1.5× 283 0.5× 139 0.3× 235 0.6× 315 0.8× 109 9.8k
Erdinç Sezgin United Kingdom 38 4.6k 0.8× 449 0.8× 776 1.8× 479 1.2× 189 0.5× 101 6.2k
Gabriel Cornilescu United States 31 6.5k 1.2× 398 0.7× 235 0.5× 271 0.7× 674 1.7× 62 8.2k
Kurt S. Thorn United States 26 4.1k 0.7× 322 0.6× 397 0.9× 305 0.7× 285 0.7× 35 5.8k

Countries citing papers authored by Sua Myong

Since Specialization
Citations

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

Fields of papers citing papers by Sua Myong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sua Myong

This figure shows the co-authorship network connecting the top 25 collaborators of Sua Myong. A scholar is included among the top collaborators of Sua Myong 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 Sua Myong. Sua Myong 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.
Paul, Tapas, I‐Ren Lee, Fahad Rashid, et al.. (2025). Mechanistic insights into direct DNA and RNA strand transfer and dynamic protein exchange of SSB and RPA. Nucleic Acids Research. 53(12).
2.
Lee, Chun‐Ying, et al.. (2025). High-frequency transcription leads to rapid R-loop formation. Journal of Biological Chemistry. 301(6). 108514–108514.
3.
Ha, Taekjip, et al.. (2024). DNA supercoiling-mediated G4/R-loop formation tunes transcription by controlling the access of RNA polymerase. Biophysical Journal. 123(3). 167a–167a. 1 indexed citations
4.
Myong, Sua, et al.. (2024). Simultaneous probing of transcription, G-quadruplex, and R-loop. Methods in enzymology on CD-ROM/Methods in enzymology. 705. 377–396. 3 indexed citations
5.
Lee, Chun‐Ying, Meera Joshi, Ashley Wang, & Sua Myong. (2024). 5′UTR G-quadruplex structure enhances translation in size dependent manner. Nature Communications. 15(1). 3963–3963. 26 indexed citations
6.
Mekonnen, Gemechu, et al.. (2023). Advanced imaging techniques for studying protein phase separation in living cells and at single-molecule level. Current Opinion in Chemical Biology. 76. 102371–102371. 13 indexed citations
7.
Sarthak, Kumar, et al.. (2023). Benchmarking Molecular Dynamics Force Fields for All-Atom Simulations of Biological Condensates. Journal of Chemical Theory and Computation. 19(12). 3721–3740. 33 indexed citations
9.
Myong, Sua, et al.. (2022). Protocol for generation and regeneration of PEG-passivated slides for single-molecule measurements. STAR Protocols. 3(1). 101152–101152. 17 indexed citations
10.
Opresko, Patricia L., et al.. (2021). TRF2 promotes dynamic and stepwise looping of POT1 bound telomeric overhang. Nucleic Acids Research. 49(21). 12377–12393. 15 indexed citations
11.
Narlikar, Geeta J., Sua Myong, Daniel R. Larson, et al.. (2021). Is transcriptional regulation just going through a phase?. Molecular Cell. 81(8). 1579–1585. 29 indexed citations
12.
Ma, Kevin, et al.. (2020). R-loop induced G-quadruplex in non-template promotes transcription by successive R-loop formation. Nature Communications. 11(1). 3392–3392. 92 indexed citations
13.
Langdon, Erin M., Yupeng Qiu, Amirhossein Ghanbari Niaki, et al.. (2018). mRNA structure determines specificity of a polyQ-driven phase separation. Science. 360(6391). 922–927. 382 indexed citations breakdown →
14.
Sarkar, Jaya & Sua Myong. (2018). Single-Molecule and Ensemble Methods to Probe Initial Stages of RNP Granule Assembly. Methods in molecular biology. 1814. 325–338. 9 indexed citations
15.
Doğanay, Sultan, Alina Baum, Joo-Yeon Yoo, et al.. (2017). Single-cell analysis of early antiviral gene expression reveals a determinant of stochastic IFNB1 expression. Integrative Biology. 9(11). 857–867. 15 indexed citations
16.
Bell, Robert J.A., H. Tomas Rube, Alex Kreig, et al.. (2015). The transcription factor GABP selectively binds and activates the mutant TERT promoter in cancer. Science. 348(6238). 1036–1039. 398 indexed citations
17.
Elbaum‐Garfinkle, Shana, Younghoon Kim, Krzysztof Szczepaniak, et al.. (2015). The disordered P granule protein LAF-1 drives phase separation into droplets with tunable viscosity and dynamics. Proceedings of the National Academy of Sciences. 112(23). 7189–7194. 925 indexed citations breakdown →
18.
Qiu, Yupeng, Hengyao Niu, Lela Vuković, Patrick Sung, & Sua Myong. (2015). Molecular Mechanism of Resolving Trinucleotide Repeat Hairpin by Helicases. Structure. 23(6). 1018–1027. 7 indexed citations
19.
Wang, Xinlei, Lela Vuković, Hye Ran Koh, Klaus Schulten, & Sua Myong. (2015). Dynamic profiling of double-stranded RNA binding proteins. Nucleic Acids Research. 43(15). 7566–7576. 46 indexed citations
20.
Gack, Michaela U., Axel Kirchhofer, Young C. Shin, et al.. (2008). Roles of RIG-I N-terminal tandem CARD and splice variant in TRIM25-mediated antiviral signal transduction. Proceedings of the National Academy of Sciences. 105(43). 16743–16748. 215 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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