Won‐Ki Cho

2.6k total citations · 2 hit papers
19 papers, 1.7k citations indexed

About

Won‐Ki Cho is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Won‐Ki Cho has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Biophysics. Recurrent topics in Won‐Ki Cho's work include RNA Research and Splicing (11 papers), Genomics and Chromatin Dynamics (9 papers) and CRISPR and Genetic Engineering (4 papers). Won‐Ki Cho is often cited by papers focused on RNA Research and Splicing (11 papers), Genomics and Chromatin Dynamics (9 papers) and CRISPR and Genetic Engineering (4 papers). Won‐Ki Cho collaborates with scholars based in South Korea, United States and Germany. Won‐Ki Cho's co-authors include Ibrahim I. Cissé, Jan-Hendrik Spille, Choongman Lee, Charles H. Li, Jong‐Bong Lee, Namrata Jayanth, Richard Fishel, Cherlhyun Jeong, Kyung-Mi Song and William F. Conway and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Won‐Ki Cho

18 papers receiving 1.7k citations

Hit Papers

Mediator and RNA polymerase II clusters associate in tran... 2018 2026 2020 2023 2018 2024 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Mediator and RNA polymerase II clusters associate in transcription-dependent condensates
    2018 948 citations Won‐Ki Cho, Jan-Hendrik Spille et al. Science profile →
  2. Direct observation of a condensate effect on super-enhancer controlled gene bursting
    2024 72 citations Manyu Du, Jan-Hendrik Spille et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won‐Ki Cho South Korea 12 1.6k 139 127 112 96 19 1.7k
Yehuda Brody Israel 13 1.4k 0.9× 88 0.6× 53 0.4× 57 0.5× 116 1.2× 23 1.5k
Fabian Erdel Germany 21 1.7k 1.1× 181 1.3× 199 1.6× 26 0.2× 95 1.0× 38 2.0k
Anand Ranjan United States 16 1.3k 0.8× 125 0.9× 229 1.8× 18 0.2× 64 0.7× 23 1.4k
Alec Heckert United States 7 1.3k 0.8× 75 0.5× 119 0.9× 9 0.1× 77 0.8× 10 1.4k
Thierry Cheutin France 15 1.7k 1.1× 73 0.5× 391 3.1× 12 0.1× 197 2.1× 20 1.8k
David T. McSwiggen United States 9 1.2k 0.8× 53 0.4× 84 0.7× 11 0.1× 64 0.7× 16 1.4k
Yunhe Bao United States 13 1.6k 1.0× 22 0.2× 190 1.5× 23 0.2× 77 0.8× 14 1.7k
Yandong Yin United States 20 1.2k 0.7× 99 0.7× 36 0.3× 13 0.1× 58 0.6× 32 1.3k
Christoffel Dinant Netherlands 19 1.6k 1.0× 69 0.5× 136 1.1× 35 0.3× 142 1.5× 27 1.8k
Bogdan Bintu United States 9 2.2k 1.4× 306 2.2× 568 4.5× 12 0.1× 232 2.4× 11 2.4k

Countries citing papers authored by Won‐Ki Cho

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Ki Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Ki Cho. 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 Won‐Ki Cho. The network helps show where Won‐Ki Cho may publish in the future.

Co-authorship network of co-authors of Won‐Ki Cho

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

All Works

19 of 19 papers shown
1.
Xu, Kun, Sang‐Hoon Lee, Seong‐Beom Han, et al.. (2025). Attenuated Nuclear Tension Regulates Progerin‐Induced Mechanosensitive Nuclear Wrinkling and Chromatin Remodeling. Advanced Science. 12(31). e2502375–e2502375. 1 indexed citations
2.
3.
Du, Manyu, et al.. (2024). Direct observation of a condensate effect on super-enhancer controlled gene bursting. Cell. 187(2). 331–344.e17. 72 indexed citations breakdown →
4.
Park, Gunhee, et al.. (2024). Emerging insights into transcriptional condensates. Experimental & Molecular Medicine. 56(4). 820–826. 10 indexed citations
5.
Hwang, Hyun Jung, et al.. (2023). YTHDF2 facilitates aggresome formation via UPF1 in an m6A-independent manner. Nature Communications. 14(1). 6248–6248. 9 indexed citations
6.
Park, Gunhee, Jiyoung Goo, Jeongmin Lee, et al.. (2022). Effects of Transcription-Dependent Physical Perturbations on the Chromosome Dynamics in Living Cells. Frontiers in Cell and Developmental Biology. 10. 822026–822026. 7 indexed citations
7.
Joshi, Rakesh, Seong‐Beom Han, Won‐Ki Cho, & Dong‐Hwee Kim. (2022). The role of cellular traction forces in deciphering nuclear mechanics. Biomaterials Research. 26(1). 43–43. 17 indexed citations
8.
Kim, Yong-Jin, et al.. (2021). CTCF-mediated chromatin looping provides a topological framework for the formation of phase-separated transcriptional condensates. Nucleic Acids Research. 50(1). 207–226. 76 indexed citations
9.
Cho, Won‐Ki, et al.. (2021). Visualization of chromatin higher-order structures and dynamics in live cells. BMB Reports. 54(10). 489–496. 5 indexed citations
10.
Cho, Won‐Ki, et al.. (2018). Mediator and RNA polymerase II clusters associate in transcription-dependent condensates. Science. 361(6400). 412–415. 948 indexed citations breakdown →
11.
Spille, Jan-Hendrik, et al.. (2018). A CRISPR/Cas9 platform for MS2-labelling of single mRNA in live stem cells. Methods. 153. 35–45. 22 indexed citations
12.
Andrews, J Owen, William F. Conway, Won‐Ki Cho, et al.. (2018). qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells. Scientific Reports. 8(1). 7424–7424. 25 indexed citations
13.
Park, Jonghyun, Slobodan Jergic, Yongmoon Jeon, et al.. (2017). Dynamics of Proofreading by the E. coli Pol III Replicase. Cell chemical biology. 25(1). 57–66.e4. 14 indexed citations
14.
Cho, Won‐Ki, et al.. (2016). Super-resolution imaging of fluorescently labeled, endogenous RNA Polymerase II in living cells with CRISPR/Cas9-mediated gene editing. Scientific Reports. 6(1). 35949–35949. 51 indexed citations
15.
Cho, Won‐Ki, Namrata Jayanth, Brian P. English, et al.. (2016). RNA Polymerase II cluster dynamics predict mRNA output in living cells. eLife. 5. 200 indexed citations
16.
Lee, Jong‐Bong, Won‐Ki Cho, Jong‐Hyun Park, et al.. (2014). Single-molecule views of MutS on mismatched DNA. DNA repair. 20. 82–93. 34 indexed citations
17.
Cho, Won‐Ki, et al.. (2014). Loading Dynamics of a Sliding DNA Clamp. Angewandte Chemie International Edition. 53(26). 6768–6771. 10 indexed citations
18.
Cho, Won‐Ki, Cherlhyun Jeong, Kyung-Mi Song, et al.. (2012). ATP Alters the Diffusion Mechanics of MutS on Mismatched DNA. Structure. 20(7). 1264–1274. 77 indexed citations
19.
Jeong, Cherlhyun, Won‐Ki Cho, Kyung-Mi Song, et al.. (2011). MutS switches between two fundamentally distinct clamps during mismatch repair. Nature Structural & Molecular Biology. 18(3). 379–385. 103 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yehuda Brody Breakdown of academic impact, for papers by Fabian Erdel Breakdown of academic impact, for papers by Anand Ranjan Breakdown of academic impact, for papers by Alec Heckert Breakdown of academic impact, for papers by Thierry Cheutin Breakdown of academic impact, for papers by David T. McSwiggen Breakdown of academic impact, for papers by Yunhe Bao Breakdown of academic impact, for papers by Yandong Yin Breakdown of academic impact, for papers by Christoffel Dinant Breakdown of academic impact, for papers by Bogdan Bintu
Rankless by CCL
2026