Keewon Sung

427 total citations
10 papers, 320 citations indexed

About

Keewon Sung is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry. According to data from OpenAlex, Keewon Sung has authored 10 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Physical and Theoretical Chemistry. Recurrent topics in Keewon Sung's work include Advanced biosensing and bioanalysis techniques (9 papers), CRISPR and Genetic Engineering (8 papers) and RNA Interference and Gene Delivery (4 papers). Keewon Sung is often cited by papers focused on Advanced biosensing and bioanalysis techniques (9 papers), CRISPR and Genetic Engineering (8 papers) and RNA Interference and Gene Delivery (4 papers). Keewon Sung collaborates with scholars based in South Korea, United States and Ethiopia. Keewon Sung's co-authors include Seong Keun Kim, Jinho Park, Juan Jovel, Basil P. Hubbard, Christopher R. Cromwell, Sangsu Bae, Euihwan Jeong, Youngbin Lim, Seung Hwan Lee and Jin‐Soo Kim and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Keewon Sung

8 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keewon Sung South Korea 6 299 36 34 26 20 10 320
Sneha Suresh United States 4 369 1.2× 42 1.2× 71 2.1× 40 1.5× 24 1.2× 4 387
Jordana K. Thibado United States 5 365 1.2× 26 0.7× 92 2.7× 22 0.8× 12 0.6× 6 398
Cole Urnes United States 3 291 1.0× 18 0.5× 68 2.0× 18 0.7× 15 0.8× 3 328
Philipp Kanis Germany 5 193 0.6× 21 0.6× 41 1.2× 18 0.7× 6 0.3× 8 226
Sannie J. Culbertson United States 4 396 1.3× 35 1.0× 90 2.6× 47 1.8× 10 0.5× 6 416
Sabine Aschenbrenner Germany 7 381 1.3× 63 1.8× 41 1.2× 17 0.7× 20 1.0× 12 418
David J Menn United States 4 373 1.2× 14 0.4× 73 2.1× 23 0.9× 7 0.3× 6 407
Pietro De Angeli Germany 3 347 1.2× 35 1.0× 70 2.1× 43 1.7× 11 0.6× 6 366
Ning Guo United States 6 372 1.2× 39 1.1× 139 4.1× 32 1.2× 16 0.8× 6 415
Eric Edward Bryant United States 5 319 1.1× 28 0.8× 85 2.5× 17 0.7× 11 0.6× 6 326

Countries citing papers authored by Keewon Sung

Since Specialization
Citations

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

Fields of papers citing papers by Keewon Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keewon Sung

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

All Works

10 of 10 papers shown
2.
Joo, So Young, Keewon Sung, & Hyun‐Sook Lee. (2024). Balancing act: BRCA2's elaborate management of telomere replication through control of G‐quadruplex dynamicity. BioEssays. 46(8). e2300229–e2300229.
3.
Sung, Keewon, et al.. (2024). Linear spectral unmixing analysis in single-molecule FRET spectroscopy for fluorophores with large spectral overlap. Physical Chemistry Chemical Physics. 26(23). 16561–16566. 1 indexed citations
4.
Sung, Keewon, et al.. (2022). Dynamic interaction of BRCA2 with telomeric G-quadruplexes underlies telomere replication homeostasis. Nature Communications. 13(1). 3396–3396. 11 indexed citations
5.
Park, Jinho, et al.. (2021). Quantitative assessment of engineered Cas9 variants for target specificity enhancement by single-molecule reaction pathway analysis. Nucleic Acids Research. 49(19). 11312–11322. 12 indexed citations
6.
Jo, Myung Hyun, Byoung Choul Kim, Keewon Sung, et al.. (2021). Molecular Nanomechanical Mapping of Histamine-Induced Smooth Muscle Cell Contraction and Shortening. ACS Nano. 15(7). 11585–11596. 10 indexed citations
7.
Park, Jinho, et al.. (2019). Positive Identification of DNA Cleavage by CRISPR-Cas9 Using Pyrene Excimer Fluorescence to Detect a Subnanometer Structural Change. The Journal of Physical Chemistry Letters. 10(20). 6208–6212. 3 indexed citations
8.
Cromwell, Christopher R., Keewon Sung, Jinho Park, et al.. (2018). Incorporation of bridged nucleic acids into CRISPR RNAs improves Cas9 endonuclease specificity. Nature Communications. 9(1). 1448–1448. 155 indexed citations
9.
Sung, Keewon, Jinho Park, Young-Gyu Kim, Nam Ki Lee, & Seong Keun Kim. (2018). Target Specificity of Cas9 Nuclease via DNA Rearrangement Regulated by the REC2 Domain. Journal of the American Chemical Society. 140(25). 7778–7781. 34 indexed citations
10.
Lim, Youngbin, Keewon Sung, Euihwan Jeong, et al.. (2016). Structural roles of guide RNAs in the nuclease activity of Cas9 endonuclease. Nature Communications. 7(1). 13350–13350. 94 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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