S. Chul Kwon

3.4k total citations
29 papers, 2.6k citations indexed

About

S. Chul Kwon is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, S. Chul Kwon has authored 29 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Biomedical Engineering. Recurrent topics in S. Chul Kwon's work include RNA Interference and Gene Delivery (6 papers), RNA Research and Splicing (6 papers) and MicroRNA in disease regulation (5 papers). S. Chul Kwon is often cited by papers focused on RNA Interference and Gene Delivery (6 papers), RNA Research and Splicing (6 papers) and MicroRNA in disease regulation (5 papers). S. Chul Kwon collaborates with scholars based in South Korea, United States and Hong Kong. S. Chul Kwon's co-authors include Hyeshik Chang, Minju Ha, Yeon-Gil Choi, Jae‐Sung Woo, Jaechul Lim, Tuan Anh Nguyen, Myung Hyun Jo, Sungchul Hohng, V. Narry Kim and Dongwoo Khang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

S. Chul Kwon

28 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Chul Kwon South Korea 21 2.1k 1.0k 209 149 118 29 2.6k
Takayuki Mizutani Japan 8 1.6k 0.7× 1.1k 1.1× 193 0.9× 116 0.8× 79 0.7× 17 1.8k
Eun‐Jung Jin South Korea 28 1.5k 0.7× 1.1k 1.1× 127 0.6× 126 0.8× 38 0.3× 94 2.5k
Yawei Gao China 24 2.9k 1.4× 554 0.5× 111 0.5× 237 1.6× 177 1.5× 50 3.4k
Killian P. O’Brien United States 6 1.5k 0.7× 859 0.8× 161 0.8× 188 1.3× 28 0.2× 9 1.7k
Ritu Kulshreshtha India 26 2.6k 1.2× 2.6k 2.5× 226 1.1× 213 1.4× 43 0.4× 75 3.8k
Fang Ma China 24 819 0.4× 544 0.5× 135 0.6× 280 1.9× 54 0.5× 70 1.4k
Chuan Huang China 23 3.6k 1.7× 2.9k 2.8× 160 0.8× 97 0.7× 55 0.5× 50 3.9k
Coralee E. Tye United States 24 1.1k 0.5× 386 0.4× 299 1.4× 45 0.3× 46 0.4× 38 1.8k
Lavinia Raimondi Italy 28 1.8k 0.8× 1.2k 1.2× 185 0.9× 132 0.9× 17 0.1× 62 2.4k
Tek N. Lamichhane United States 19 1.8k 0.8× 768 0.8× 138 0.7× 106 0.7× 14 0.1× 21 1.9k

Countries citing papers authored by S. Chul Kwon

Since Specialization
Citations

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

Fields of papers citing papers by S. Chul Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Chul Kwon. 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 S. Chul Kwon. The network helps show where S. Chul Kwon may publish in the future.

Co-authorship network of co-authors of S. Chul Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of S. Chul Kwon. A scholar is included among the top collaborators of S. Chul Kwon 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 S. Chul Kwon. S. Chul Kwon 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.
Kwon, S. Chul, et al.. (2025). Cytosolic CRISPR RNAs for efficient application of RNA-targeting CRISPR-Cas systems. EMBO Reports. 26(7). 1891–1912.
2.
Kim, Hyunsook, Bora Jang, Dayoung Lee, S. Chul Kwon, & Hyukjin Lee. (2022). Artificial primary-miRNAs as a platform for simultaneous delivery of siRNA and antisense oligonucleotide for multimodal gene regulation. Journal of Controlled Release. 349. 983–991. 3 indexed citations
3.
Choi, Jin Kyeong, Jun‐Young Park, Soyoung Lee, et al.. (2022). Greater Plasma Protein Adsorption on Mesoporous Silica Nanoparticles Aggravates Atopic Dermatitis. International Journal of Nanomedicine. Volume 17. 4599–4617. 10 indexed citations
4.
Park, Jun‐Young, Sung Jean Park, Sang‐Hyun Kim, et al.. (2021). Unfolded Protein Corona Surrounding Nanotubes Influence the Innate and Adaptive Immune System. Advanced Science. 8(8). 2004979–2004979. 47 indexed citations
5.
Kwon, S. Chul, et al.. (2020). Chemical RNA digestion enables robust RNA-binding site mapping at single amino acid resolution. Nature Structural & Molecular Biology. 27(7). 678–682. 32 indexed citations
6.
Kwon, S. Chul, Sung Hyun Kim, Dongwoo Khang, & Jong Yeon Lee. (2020). <p>Potential Therapeutic Usage of Nanomedicine for Glaucoma Treatment</p>. International Journal of Nanomedicine. Volume 15. 5745–5765. 36 indexed citations
7.
Park, Jun‐Young, S. Chul Kwon, Sang‐Hyun Kim, Youn Joo Kang, & Dongwoo Khang. (2020). Triamcinolone–Gold Nanoparticles Repolarize Synoviocytes and Macrophages in an Inflamed Synovium. ACS Applied Materials & Interfaces. 12(35). 38936–38949. 51 indexed citations
8.
Kwon, S. Chul, Kwai Han Yoo, Sun Jin Sym, & Dongwoo Khang. (2019). <p>Mesenchymal stem cell therapy assisted by nanotechnology: a possible combinational treatment for brain tumor and central nerve regeneration</p>. International Journal of Nanomedicine. Volume 14. 5925–5942. 34 indexed citations
9.
Ismail, Tayaba, et al.. (2019). Comparative Analysis of the Developmental Toxicity in Xenopus laevis and Danio rerio Induced by Al2O3 Nanoparticle Exposure. Environmental Toxicology and Chemistry. 38(12). 2672–2681. 24 indexed citations
10.
Kwon, S. Chul, et al.. (2018). Molecular Basis for the Single-Nucleotide Precision of Primary microRNA Processing. Molecular Cell. 73(3). 505–518.e5. 66 indexed citations
11.
12.
13.
Nguyen, Tuan Anh, Myung Hyun Jo, Yeon-Gil Choi, et al.. (2015). Functional Anatomy of the Human Microprocessor. Cell. 161(6). 1374–1387. 288 indexed citations
14.
Lim, Jaechul, Minju Ha, Hyeshik Chang, et al.. (2014). Uridylation by TUT4 and TUT7 Marks mRNA for Degradation. Cell. 159(6). 1365–1376. 236 indexed citations
15.
Kwon, S. Chul, Hyerim Yi, Katrin Eichelbaum, et al.. (2013). The RNA-binding protein repertoire of embryonic stem cells. Nature Structural & Molecular Biology. 20(9). 1122–1130. 365 indexed citations
16.
Cho, Jun, Hyeshik Chang, S. Chul Kwon, et al.. (2012). LIN28A Is a Suppressor of ER-Associated Translation in Embryonic Stem Cells. Cell. 151(4). 765–777. 180 indexed citations
17.
Heo, Inha, Minju Ha, Jaechul Lim, et al.. (2012). Mono-Uridylation of Pre-MicroRNA as a Key Step in the Biogenesis of Group II let-7 MicroRNAs. Cell. 151(3). 521–532. 246 indexed citations
18.
Choe, Woo Jin, S. Chul Kwon, B. Kim, et al.. (2011). Comparison of transnasal small-caliber vs. peroral conventional esophagogastroduodenoscopy for evaluating varices in unsedated cirrhotic patients. Endoscopy. 43(8). 649–656. 20 indexed citations
19.
Han, Jinju, Jakob Skou Pedersen, S. Chul Kwon, et al.. (2009). Posttranscriptional Crossregulation between Drosha and DGCR8. Cell. 136(1). 75–84. 335 indexed citations
20.
Lee, Pyung Cheon, et al.. (2000). Batch and continuous cultivation of Anaerobiospirillum succiniciproducens for the production of succinic acid from whey. Applied Microbiology and Biotechnology. 54(1). 23–27. 75 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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