Sunghee Cho

604 total citations
19 papers, 471 citations indexed

About

Sunghee Cho is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Sunghee Cho has authored 19 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Sunghee Cho's work include RNA Research and Splicing (16 papers), RNA modifications and cancer (13 papers) and RNA and protein synthesis mechanisms (7 papers). Sunghee Cho is often cited by papers focused on RNA Research and Splicing (16 papers), RNA modifications and cancer (13 papers) and RNA and protein synthesis mechanisms (7 papers). Sunghee Cho collaborates with scholars based in South Korea, China and United States. Sunghee Cho's co-authors include Tiing Jen Loh, Xuexiu Zheng, Haihong Shen, Heegyum Moon, Kyung Bong Koh, Jianhua Zhou, Michael R. Green, D. Joshua Liao, Darren R. Williams and Da‐Woon Jung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Psychosomatic Medicine.

In The Last Decade

Sunghee Cho

19 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunghee Cho South Korea 13 316 65 54 39 33 19 471
Petra Bachmann Australia 10 227 0.7× 45 0.7× 24 0.4× 24 0.6× 15 0.5× 13 450
Sara Moruzzi Italy 13 321 1.0× 114 1.8× 12 0.2× 29 0.7× 53 1.6× 32 614
Alice Riva Italy 10 86 0.3× 65 1.0× 8 0.1× 74 1.9× 111 3.4× 21 494
Rongrong Zhu China 15 226 0.7× 44 0.7× 7 0.1× 17 0.4× 30 0.9× 63 586
Matthias Linke Germany 11 333 1.1× 45 0.7× 21 0.4× 39 1.0× 3 0.1× 23 512
Erin L. Brown United States 10 254 0.8× 118 1.8× 7 0.1× 21 0.5× 10 0.3× 17 495
Chenguang Wu China 7 106 0.3× 41 0.6× 100 1.9× 13 0.3× 29 0.9× 13 418
Giorgia Razzini Italy 11 272 0.9× 25 0.4× 13 0.2× 9 0.2× 5 0.2× 17 473
S.A. Guttormsen United States 12 125 0.4× 40 0.6× 14 0.3× 9 0.2× 9 0.3× 25 436

Countries citing papers authored by Sunghee Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sunghee Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunghee Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sunghee Cho. A scholar is included among the top collaborators of Sunghee 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 Sunghee Cho. Sunghee 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.
Moon, Heegyum, Sunghee Cho, Tiing Jen Loh, et al.. (2017). SRSF2 directly inhibits intron splicing to suppresses cassette exon inclusion. BMB Reports. 50(8). 423–428. 12 indexed citations
2.
Zheng, Xuexiu, et al.. (2016). Detecting RNA–Protein Interaction Using End-Labeled Biotinylated RNA Oligonucleotides and Immunoblotting. Methods in molecular biology. 1421. 35–44. 28 indexed citations
3.
Loh, Tiing Jen, Heegyum Moon, Sunghee Cho, et al.. (2015). CD44 alternative splicing and hnRNP A1 expression are associated with the metastasis of breast cancer. Oncology Reports. 34(3). 1231–1238. 60 indexed citations
4.
Loh, Tiing Jen, Sunghee Cho, Heegyum Moon, et al.. (2015). hnRNP L inhibits CD44 V10 exon splicing through interacting with its upstream intron. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(6). 743–750. 17 indexed citations
5.
Cho, Sunghee, Heegyum Moon, Tiing Jen Loh, et al.. (2015). Splicing inhibition of U2AF 65 leads to alternative exon skipping. Proceedings of the National Academy of Sciences. 112(32). 9926–9931. 35 indexed citations
6.
Zheng, Xuexiu, Sunghee Cho, Heegyum Moon, et al.. (2014). Polypyrimidine tract binding protein inhibits IgM pre-mRNA splicing by diverting U2 snRNA base-pairing away from the branch point. RNA. 20(4). 440–446. 5 indexed citations
7.
Moon, Heegyum, Sunghee Cho, Tiing Jen Loh, et al.. (2014). SRSF2 promotes splicing and transcription of exon 11 included isoform in Ron proto-oncogene. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(11). 1132–1140. 21 indexed citations
8.
Cho, Sunghee, Heegyum Moon, Tiing Jen Loh, et al.. (2014). hnRNP M facilitates exon 7 inclusion of SMN2 pre-mRNA in spinal muscular atrophy by targeting an enhancer on exon 7. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(4). 306–315. 36 indexed citations
9.
Cho, Sunghee, Heegyum Moon, Tiing Jen Loh, et al.. (2014). PSF contacts exon 7 of SMN2 pre-mRNA to promote exon 7 inclusion. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(6). 517–525. 24 indexed citations
10.
Cho, Sunghee, Heegyum Moon, Tiing Jen Loh, et al.. (2014). 3′ Splice Site Sequences of Spinal Muscular Atrophy Related SMN2 Pre-mRNA Include Enhancers for Nearby Exons. The Scientific World JOURNAL. 2014. 1–9. 1 indexed citations
11.
Loh, Tiing Jen, Heegyum Moon, Sunghee Cho, et al.. (2013). SC35 promotes splicing of the C5-V6-C6 isoform of CD44 pre-mRNA. Oncology Reports. 31(1). 273–279. 16 indexed citations
12.
Lee, Minho, Tiing Jen Loh, Heegyum Moon, et al.. (2013). Exon 9 skipping of apoptotic caspase-2 pre-mRNA is promoted by SRSF3 through interaction with exon 8. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(1). 25–32. 26 indexed citations
13.
Lee, Eunkyung, Jaehoon Lee, Heegyum Moon, et al.. (2013). hnRNP A1 contacts exon 5 to promote exon 6 inclusion of apoptotic Fas gene. APOPTOSIS. 18(7). 825–835. 30 indexed citations
14.
Moon, Heegyum, Sunghee Cho, Tiing Jen Loh, et al.. (2013). A 2-nt RNA enhancer on exon 11 promotes exon 11 inclusion of the Ron proto-oncogene. Oncology Reports. 31(1). 450–455. 3 indexed citations
15.
Cho, Sunghee, Heegyum Moon, Xiaoming Yang, et al.. (2012). Validation of trans-acting elements that promote exon 7 skipping of SMN2 in SMN2-GFP stable cell line. Biochemical and Biophysical Research Communications. 423(3). 531–535. 9 indexed citations
16.
Lee, Jae‐Hoon, Jianhua Zhou, Xuexiu Zheng, et al.. (2012). Identification of a novel cis-element that regulates alternative splicing of Bcl-x pre-mRNA. Biochemical and Biophysical Research Communications. 420(2). 467–472. 14 indexed citations
17.
Moon, Heegyum, Sunghee Cho, Xiaoming Yang, et al.. (2012). Identification of novel splicing variants from RON proto-oncogene pre-mRNA. Oncology Reports. 28(6). 2217–2220. 4 indexed citations
18.
Koh, Kyung Bong, et al.. (2006). Development of the Stress-induced Cognition Scale. Yonsei Medical Journal. 47(3). 384–384. 8 indexed citations
19.
Koh, Kyung Bong, et al.. (2001). Development of the Stress Response Inventory and Its Application in Clinical Practice. Psychosomatic Medicine. 63(4). 668–678. 122 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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