Sungchan Cho

3.0k total citations
63 papers, 2.3k citations indexed

About

Sungchan Cho is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sungchan Cho has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 13 papers in Epidemiology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sungchan Cho's work include RNA Research and Splicing (12 papers), RNA modifications and cancer (10 papers) and Viral Infections and Immunology Research (10 papers). Sungchan Cho is often cited by papers focused on RNA Research and Splicing (12 papers), RNA modifications and cancer (10 papers) and Viral Infections and Immunology Research (10 papers). Sungchan Cho collaborates with scholars based in South Korea, United States and Yemen. Sungchan Cho's co-authors include Gideon Dreyfuss, Sung Key Jang, Lili Wan, Jong Heon Kim, Sung Hoon Back, Kwangman Choi, Larry N. Singh, Michael G. Berg, Daisuke Kaida and Anna Maria Pinto and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Sungchan Cho

60 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungchan Cho South Korea 28 1.5k 316 275 258 199 63 2.3k
Hsing‐I Huang Taiwan 20 729 0.5× 261 0.8× 107 0.4× 472 1.8× 188 0.9× 39 1.9k
Qianqian Zhu China 35 1.9k 1.3× 193 0.6× 458 1.7× 83 0.3× 171 0.9× 159 3.9k
Bei Yang China 27 1.9k 1.2× 127 0.4× 246 0.9× 54 0.2× 401 2.0× 80 2.7k
Ganesh M. Sathe United States 28 1.9k 1.2× 205 0.6× 275 1.0× 138 0.5× 219 1.1× 56 3.3k
Lisa Lindqvist Australia 27 2.3k 1.5× 134 0.4× 505 1.8× 62 0.2× 98 0.5× 39 3.0k
Anabelle Decottignies Belgium 32 2.3k 1.5× 64 0.2× 380 1.4× 70 0.3× 396 2.0× 66 3.6k
Yeou‐Guang Tsay Taiwan 25 971 0.6× 77 0.2× 280 1.0× 23 0.1× 234 1.2× 56 1.8k
Yurong Guo United States 23 1.4k 0.9× 116 0.4× 128 0.5× 43 0.2× 31 0.2× 41 2.5k
Subrata Sinha India 25 1.3k 0.9× 22 0.1× 293 1.1× 220 0.9× 224 1.1× 159 2.4k

Countries citing papers authored by Sungchan Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sungchan Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungchan Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sungchan Cho. A scholar is included among the top collaborators of Sungchan 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 Sungchan Cho. Sungchan Cho 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.
Pagar, Amol D., Taresh P. Khobragade, Hyunwoo Jeon, et al.. (2024). Exemplifying Natural (R)-β-Transamination Potential of Fold Type-IV Transaminase for Kinetic Resolution of rac-β-Amino Acids Synthesized from Aldehydes. ACS Sustainable Chemistry & Engineering. 12(19). 7226–7234. 1 indexed citations
2.
3.
Seo, Yoona, Mi-Hwa Kim, Seong‐Jun Kim, et al.. (2022). PLK1-ELAVL1/HuR-miR-122 signaling facilitates hepatitis C virus proliferation. Proceedings of the National Academy of Sciences. 119(51). e2214911119–e2214911119. 16 indexed citations
4.
Seo, Yoona, Sung Soo Kim, Namdoo Kim, et al.. (2020). Development of a miRNA-controlled dual-sensing system and its application for targeting miR-21 signaling in tumorigenesis. Experimental & Molecular Medicine. 52(12). 1989–2004. 9 indexed citations
5.
Jeong, Hyejeong, Yang Hee Jo, Miri Choi, et al.. (2019). Improvement of spinal muscular atrophy via correction of the SMN2 splicing defect by Brucea javanica (L.) Merr. extract and Bruceine D. Phytomedicine. 65. 153089–153089. 9 indexed citations
6.
Kim, Woo‐Keun, et al.. (2019). Structural Basis for the Selective Inhibition of Cdc2-Like Kinases by CX-4945. BioMed Research International. 2019. 1–10. 23 indexed citations
7.
Shin, Hye Jin, Chonsaeng Kim, & Sungchan Cho. (2018). Gemcitabine and Nucleos(t)ide Synthesis Inhibitors Are Broad-Spectrum Antiviral Drugs that Activate Innate Immunity. Viruses. 10(4). 211–211. 23 indexed citations
8.
Kim, Heon Seok, Kyungjin Lee, Seong‐Jun Kim, et al.. (2018). Arrayed CRISPR screen with image-based assay reliably uncovers host genes required for coxsackievirus infection. Genome Research. 28(6). 859–868. 33 indexed citations
9.
Jung, Sunhee, Kwangman Choi, Min-Gu Kang, et al.. (2017). Inactivation of human DGAT2 by oxidative stress on cysteine residues. PLoS ONE. 12(7). e0181076–e0181076. 16 indexed citations
10.
Lee, Kyu‐Sun, Ae‐Kyeong Kim, Miri Choi, et al.. (2016). A chemical with proven clinical safety restores Down syndrome-related phenotypes via DYRK1A inhibition. Disease Models & Mechanisms. 9(8). 839–48. 87 indexed citations
11.
Lee, Hyun, Nga Nguyen, Jin Hee Hong, et al.. (2016). MG53-IRS-1 (Mitsugumin 53-Insulin Receptor Substrate-1) Interaction Disruptor Sensitizes Insulin Signaling in Skeletal Muscle. Journal of Biological Chemistry. 291(52). 26627–26635. 13 indexed citations
12.
Ryu, Hyung Won, Jihee Choi, Sei‐Ryang Oh, et al.. (2016). Anti-Obesity Effects of Spiramycin In Vitro and In Vivo. PLoS ONE. 11(7). e0158632–e0158632. 9 indexed citations
13.
Lee, Su Ui, Mun-Ock Kim, Sungchan Cho, et al.. (2015). Selective novel inverse agonists for human GPR43 augment GLP-1 secretion. European Journal of Pharmacology. 771. 1–9. 43 indexed citations
14.
Kang, Hyunju, Chonsaeng Kim, Dong‐Eun Kim, et al.. (2015). Synergistic antiviral activity of gemcitabine and ribavirin against enteroviruses. Antiviral Research. 124. 1–10. 57 indexed citations
15.
Choi, Kwangman, Hyunju Kang, Soyoung Lee, et al.. (2014). Regulation of diacylglycerol acyltransferase 2 protein stability by gp78‐associated endoplasmic‐reticulum‐associated degradation. FEBS Journal. 281(13). 3048–3060. 42 indexed citations
16.
Lee, Sun Hwa, Jee Hee Seo, Il Soon Kim, et al.. (2013). Aralia cordata Inhibits Triacylglycerol Biosynthesis in HepG2 Cells. Journal of Medicinal Food. 16(12). 1108–1114. 5 indexed citations
17.
Yeo, Sang-Gu, Dong-Uk Kim, Jae-Hyoung Song, et al.. (2012). Updates on the genetic variations of Norovirus in sporadic gastroenteritis in Chungnam Korea, 2009-2010. Virology Journal. 9(1). 29–29. 16 indexed citations
18.
Park, Seong‐Mi, Ki Young Paek, Christopher J. Jang, et al.. (2011). Translation-competent 48S complex formation on HCV IRES requires the RNA-binding protein NSAP1. Nucleic Acids Research. 39(17). 7791–7802. 26 indexed citations
19.
Wang, Yun, Sungchan Cho, Ralf Thiedmann, et al.. (2009). Stochastic modeling and direct simulation of the diffusion media for polymer electrolyte fuel cells. International Journal of Heat and Mass Transfer. 53(5-6). 1128–1138. 74 indexed citations
20.
Kim, Yoon Ki, Chon Saeng Kim, Sungchan Cho, et al.. (2005). E2 of Hepatitis C Virus Inhibits Apoptosis. The Journal of Immunology. 175(12). 8226–8235. 57 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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