Sua Myong

9.9k citations
111 papers · 6.6k indexed · 2 hit papers · h-index 41
Topics
RNA Research and Splicing (39 papers)DNA and Nucleic Acid Chemistry (34 papers)RNA and protein synthesis mechanisms (33 papers)

In The Last Decade

Sua Myong

104 papers receiving 6.5k citations

Hit Papers

The disordered P granule protein LAF-1 drives phase separ...201520262018202220152018250500750

Peers

Sua Myong
Comparison fields: 5 of 130
  • Molecular Biology 5.6k
  • Immunology 580
  • Biophysics 430
  • Physiology 416
  • Genetics 397
Replace Karsten Rippe with:
Karsten Rippe Germany
Karsten Weis United States
Yaron Shav‐Tal Israel
Lynne Regan United States
Thoru Pederson United States
Aaron Bensimon France
M. Cristina Cardoso Germany
Xavier Darzacq United States
Tanja Mittag United States
Ulrich Rothbauer Germany
Sua Myong relative to Karsten Rippe Germany Karsten Rippe's profile →
Citations per field
00.5×1.5×
Karsten Rippe · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 3
5 26
6 13
7 33
8 5
9 17
10 15
11 29
12 92
13
mRNA structure determines specificity of a polyQ-driven phase separationbreakdown →
382
14 9
15 15
16 398
17
The disordered P granule protein LAF-1 drives phase separation into droplets with tunable viscosity and dynamicsbreakdown →
925
18 7
19 46
20 215

About Sua Myong

Sua Myong is a scholar working on Structural Biology, Molecular Biology and Biophysics, having authored 111 papers that have together received 6.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (39 papers), DNA and Nucleic Acid Chemistry (34 papers) and RNA and protein synthesis mechanisms (33 papers). The work is most often cited by research in Molecular Biology (5.6k citations), Biophysics (430 citations) and Structural Biology (97 citations). Sua Myong has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent 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. Their work appears in journals such as Nature, Science and Cell.

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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