Sung-Ik Cho

859 total citations · 1 hit paper
10 papers, 543 citations indexed

About

Sung-Ik Cho is a scholar working on Molecular Biology, Surgery and Automotive Engineering. According to data from OpenAlex, Sung-Ik Cho has authored 10 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Automotive Engineering. Recurrent topics in Sung-Ik Cho's work include CRISPR and Genetic Engineering (7 papers), RNA regulation and disease (5 papers) and Mitochondrial Function and Pathology (2 papers). Sung-Ik Cho is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), RNA regulation and disease (5 papers) and Mitochondrial Function and Pathology (2 papers). Sung-Ik Cho collaborates with scholars based in South Korea, Puerto Rico and Singapore. Sung-Ik Cho's co-authors include Jin‐Soo Kim, Kayeong Lim, Young Geun Mok, Ji Min Lee, Jaesuk Lee, Eugene Chung, Daesik Kim, Seonghyun Lee, Sunghyun Hong and Annie Kim and has published in prestigious journals such as Cell, Nature Communications and Nature Biotechnology.

In The Last Decade

Sung-Ik Cho

8 papers receiving 528 citations

Hit Papers

Targeted A-to-G base editing in human mitochondrial DNA w... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung-Ik Cho South Korea 8 503 129 60 45 36 10 543
Eleonora Ioannidi Switzerland 4 290 0.6× 80 0.6× 14 0.2× 7 0.2× 22 0.6× 4 304
Gou Takahashi Japan 8 315 0.6× 151 1.2× 14 0.2× 7 0.2× 24 0.7× 18 360
Angus Yiu-Fai Lee United States 6 387 0.8× 158 1.2× 21 0.3× 3 0.1× 31 0.9× 7 484
Guanghua Su China 14 331 0.7× 156 1.2× 20 0.3× 7 0.2× 8 0.2× 59 477
James Kuo United States 7 230 0.5× 63 0.5× 40 0.7× 5 0.1× 10 0.3× 8 277
Philipp Kanis Germany 5 193 0.4× 41 0.3× 16 0.3× 3 0.1× 21 0.6× 8 226
Krisztina Huszár Hungary 9 374 0.7× 108 0.8× 53 0.9× 49 1.4× 14 426
Alberto Cebrian-Serrano Spain 11 208 0.4× 85 0.7× 35 0.6× 2 0.0× 14 0.4× 21 388
Oana Pelea United Kingdom 2 195 0.4× 34 0.3× 29 0.5× 3 0.1× 25 0.7× 3 238

Countries citing papers authored by Sung-Ik Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Ik Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung-Ik Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Ik Cho. A scholar is included among the top collaborators of Sung-Ik 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 Sung-Ik Cho. Sung-Ik Cho 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
1.
Lee, Jaesuk, Kayeong Lim, Annie Kim, et al.. (2023). Prime editing with genuine Cas9 nickases minimizes unwanted indels. Nature Communications. 14(1). 1786–1786. 55 indexed citations
2.
Cho, Sung-Ik, Seonghyun Lee, Young Geun Mok, et al.. (2022). Targeted A-to-G base editing in human mitochondrial DNA with programmable deaminases. Cell. 185(10). 1764–1776.e12. 163 indexed citations breakdown →
3.
Mok, Young Geun, Ji Min Lee, Eugene Chung, et al.. (2022). Base editing in human cells with monomeric DddA-TALE fusion deaminases. Nature Communications. 13(1). 4038–4038. 33 indexed citations
4.
Lim, Kayeong, Sung-Ik Cho, & Jin‐Soo Kim. (2022). Nuclear and mitochondrial DNA editing in human cells with zinc finger deaminases. Nature Communications. 13(1). 366–366. 68 indexed citations
5.
Mok, Young Geun, Sunghyun Hong, Su‐Ji Bae, Sung-Ik Cho, & Jin‐Soo Kim. (2022). Targeted A-to-G base editing of chloroplast DNA in plants. Nature Plants. 8(12). 1378–1384. 35 indexed citations
6.
Lyu, Pin, Sung-Ik Cho, Manish Yadav, et al.. (2021). Adenine Base Editor Ribonucleoproteins Delivered by Lentivirus-Like Particles Show High On-Target Base Editing and Undetectable RNA Off-Target Activities. The CRISPR Journal. 4(1). 69–81. 34 indexed citations
7.
Kim, Daesik, et al.. (2019). Genome-wide target specificity of CRISPR RNA-guided adenine base editors. Nature Biotechnology. 37(4). 430–435. 141 indexed citations
8.
Cho, Sung-Ik, et al.. (2016). Microsurgical Foraminotomy via Wiltse Paraspinal Approach for Foraminal or Extraforaminal Stenosis at L5-S1 Level : Risk Factor Analysis for Poor Outcome. Journal of Korean Neurosurgical Society. 59(6). 610–610. 14 indexed citations
9.
Cho, Sung-Ik, et al.. (2013). A Study on the Vertical Garden Design for Indoor Space - Focused on Green Wall in Lobby Space -. Korean Institute of Interior Design Journal. 22(3). 33–42.
10.
Kim, Kyong-Ho, et al.. (2009). Cognitive and Behavioral Effects of Augmented Reality Navigation System. Journal of the Korea Society for Simulation. 18(4). 9–20.

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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