Seong-Jun Cho

468 total citations
9 papers, 387 citations indexed

About

Seong-Jun Cho is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Seong-Jun Cho has authored 9 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Seong-Jun Cho's work include Cancer-related Molecular Pathways (7 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Seong-Jun Cho is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Seong-Jun Cho collaborates with scholars based in United States and South Korea. Seong-Jun Cho's co-authors include Xinbin Chen, Jin Zhang, Yong-Sam Jung, Wensheng Yan, Min Zhang, Hong-Wu Chen, Katherine A. Skorupski, Michael S. Kent, Jin Zhang and Limin Shu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Seong-Jun Cho

9 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong-Jun Cho United States 9 327 121 111 46 24 9 387
Tang Bu-jian China 8 205 0.6× 125 1.0× 120 1.1× 52 1.1× 21 0.9× 15 385
Hannah J. Whiteman United Kingdom 7 250 0.8× 152 1.3× 109 1.0× 89 1.9× 26 1.1× 7 409
Qing-Shan Wang China 9 344 1.1× 174 1.4× 136 1.2× 40 0.9× 51 2.1× 10 462
Xian-Zi Yang China 8 225 0.7× 95 0.8× 95 0.9× 28 0.6× 23 1.0× 8 320
Christin Ungewiss United States 7 305 0.9× 175 1.4× 215 1.9× 56 1.2× 49 2.0× 8 476
Natsumi Kawasaki Japan 9 231 0.7× 98 0.8× 99 0.9× 39 0.8× 32 1.3× 16 336
Edison Tak‐Bun Liu Singapore 7 246 0.8× 117 1.0× 85 0.8× 26 0.6× 27 1.1× 7 363
Ou Ma United States 6 366 1.1× 199 1.6× 94 0.8× 74 1.6× 16 0.7× 6 466
Beatrix Jahnke Germany 7 184 0.6× 202 1.7× 91 0.8× 42 0.9× 22 0.9× 8 328
Angela Rachele Soliera Italy 8 246 0.8× 87 0.7× 59 0.5× 41 0.9× 22 0.9× 12 333

Countries citing papers authored by Seong-Jun Cho

Since Specialization
Citations

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

Fields of papers citing papers by Seong-Jun Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seong-Jun Cho

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

All Works

9 of 9 papers shown
1.
Yang, Hee Jung, Jin Zhang, Wensheng Yan, et al.. (2017). Ninjurin 1 has two opposing functions in tumorigenesis in a p53-dependent manner. Proceedings of the National Academy of Sciences. 114(43). 11500–11505. 42 indexed citations
2.
Ren, Cong, Seong-Jun Cho, Yong-Sam Jung, & Xinbin Chen. (2014). DNA polymerase η is regulated by poly(rC)-binding protein 1 via mRNA stability. Biochemical Journal. 464(3). 377–386. 15 indexed citations
3.
Cho, Seong-Jun, et al.. (2013). RNPC1, an RNA-binding Protein and a p53 Target, Regulates Macrophage Inhibitory Cytokine-1 (MIC-1) Expression through mRNA Stability. Journal of Biological Chemistry. 288(33). 23680–23686. 26 indexed citations
4.
Cho, Seong-Jun, Yong-Sam Jung, & Xinbin Chen. (2013). Poly (C)-Binding Protein 1 Regulates p63 Expression through mRNA Stability. PLoS ONE. 8(8). e71724–e71724. 43 indexed citations
5.
Zhang, Min, Jin Zhang, Xiangling Chen, Seong-Jun Cho, & Xinbin Chen. (2013). Glycogen synthase kinase 3 promotes p53 mRNA translation via phosphorylation of RNPC1. Genes & Development. 27(20). 2246–2258. 50 indexed citations
6.
Cho, Seong-Jun, Andrea Rossi, Yong-Sam Jung, et al.. (2013). Ninjurin1, a target of p53, regulates p53 expression and p53-dependent cell survival, senescence, and radiation-induced mortality. Proceedings of the National Academy of Sciences. 110(23). 9362–9367. 44 indexed citations
7.
Xu, Enshun, Jin Zhang, Min Zhang, et al.. (2013). RNA-Binding Protein RBM24 Regulates p63 Expression via mRNA Stability. Molecular Cancer Research. 12(3). 359–369. 47 indexed citations
8.
Yan, Wensheng, Yanhong Zhang, Jin Zhang, Seong-Jun Cho, & Xinbin Chen. (2012). HuR Is Necessary for Mammary Epithelial Cell Proliferation and Polarity at Least in Part via ΔNp63. PLoS ONE. 7(9). e45336–e45336. 11 indexed citations
9.
Zhang, Jin, Seong-Jun Cho, Limin Shu, et al.. (2011). Translational repression of p53 by RNPC1, a p53 target overexpressed in lymphomas. Genes & Development. 25(14). 1528–1543. 109 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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