Chonghui Cheng

3.3k total citations · 1 hit paper
35 papers, 2.4k citations indexed

About

Chonghui Cheng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chonghui Cheng has authored 35 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Chonghui Cheng's work include RNA Research and Splicing (19 papers), RNA modifications and cancer (14 papers) and RNA and protein synthesis mechanisms (11 papers). Chonghui Cheng is often cited by papers focused on RNA Research and Splicing (19 papers), RNA modifications and cancer (14 papers) and RNA and protein synthesis mechanisms (11 papers). Chonghui Cheng collaborates with scholars based in United States, Australia and South Korea. Chonghui Cheng's co-authors include Phillip A. Sharp, Stewart Shuman, Lauren M. Reinke, Samuel E. Harvey, Rhonda L. Brown, Sali Liu, Jing Yang, Denise Perez, Lewis A. Chodosh and Jing Zhang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Chonghui Cheng

35 papers receiving 2.4k citations

Hit Papers

CD44 splice isoform switching in human and mouse epitheli... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chonghui Cheng United States 24 2.0k 584 509 376 121 35 2.4k
Csanád Z. Bachrati United Kingdom 20 2.3k 1.1× 310 0.5× 561 1.1× 222 0.6× 75 0.6× 32 2.5k
El Mustapha Bahassi United States 22 1.1k 0.5× 503 0.9× 245 0.5× 338 0.9× 71 0.6× 39 1.6k
Mónica Schiappacassi Italy 23 955 0.5× 514 0.9× 416 0.8× 410 1.1× 156 1.3× 42 1.6k
Rachael E. Hawtin United States 18 1.3k 0.6× 645 1.1× 237 0.5× 82 0.2× 320 2.6× 53 2.0k
James W. Peacock Canada 24 931 0.5× 525 0.9× 181 0.4× 141 0.4× 354 2.9× 41 1.6k
Károly Fátyol Hungary 19 1.6k 0.8× 465 0.8× 341 0.7× 199 0.5× 134 1.1× 32 2.1k
Giordano Caponigro United States 22 2.0k 1.0× 674 1.2× 297 0.6× 183 0.5× 126 1.0× 46 2.7k
K Huebner United States 24 1.7k 0.8× 643 1.1× 201 0.4× 140 0.4× 274 2.3× 43 2.4k
Denis R. Patrick United States 18 927 0.5× 708 1.2× 108 0.2× 536 1.4× 177 1.5× 25 1.6k
Lloyd T. Lam United States 22 1.9k 0.9× 978 1.7× 720 1.4× 117 0.3× 891 7.4× 39 3.2k

Countries citing papers authored by Chonghui Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Chonghui Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chonghui Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Chonghui Cheng. A scholar is included among the top collaborators of Chonghui Cheng 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 Chonghui Cheng. Chonghui Cheng 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.
Anczuków, Olga, Frédéric H.‐T. Allain, Brittany Angarola, et al.. (2024). Steering research on mRNA splicing in cancer towards clinical translation. Nature reviews. Cancer. 24(12). 887–905. 8 indexed citations
2.
Mehta, Hrishikesh, Blanton S. Tolbert, Chonghui Cheng, et al.. (2022). Alternatively spliced CSF3R isoforms in SRSF2 P95H mutated myeloid neoplasms. Leukemia. 36(10). 2499–2508. 5 indexed citations
3.
Harvey, Samuel E., et al.. (2021). Methods for Characterization of Alternative RNA Splicing. Methods in molecular biology. 209–222. 7 indexed citations
4.
Fu, Ting, Jae Hoon Bahn, Jae‐Hyung Lee, et al.. (2020). RNA editing in cancer impacts mRNA abundance in immune response pathways. Genome biology. 21(1). 268–268. 29 indexed citations
5.
Qiu, Yushan, et al.. (2020). A combinatorially regulated RNA splicing signature predicts breast cancer EMT states and patient survival. RNA. 26(9). 1257–1267. 19 indexed citations
6.
Hu, Xiaohui, Samuel E. Harvey, Rong Zheng, et al.. (2020). The RNA-binding protein AKAP8 suppresses tumor metastasis by antagonizing EMT-associated alternative splicing. Nature Communications. 11(1). 486–486. 84 indexed citations
7.
Zhang, Honghong, Rhonda L. Brown, Yong Wei, et al.. (2019). CD44 splice isoform switching determines breast cancer stem cell state. Genes & Development. 33(3-4). 166–179. 165 indexed citations
8.
Liu, Sali & Chonghui Cheng. (2017). Akt Signaling Is Sustained by a CD44 Splice Isoform–Mediated Positive Feedback Loop. Cancer Research. 77(14). 3791–3801. 53 indexed citations
9.
Harvey, Samuel E. & Chonghui Cheng. (2015). Methods for Characterization of Alternative RNA Splicing. Methods in molecular biology. 1402. 229–241. 40 indexed citations
10.
Xu, Yilin, Xin D. Gao, Jae‐Hyung Lee, et al.. (2014). Cell type-restricted activity of hnRNPM promotes breast cancer metastasis via regulating alternative splicing. Genes & Development. 28(11). 1191–1203. 186 indexed citations
11.
Huang, Huilin, Yilin Xu, & Chonghui Cheng. (2014). Detection of Alternative Splicing During Epithelial-Mesenchymal Transition. Journal of Visualized Experiments. 1 indexed citations
12.
Huang, Huilin, Yilin Xu, & Chonghui Cheng. (2014). Detection of Alternative Splicing During Epithelial-Mesenchymal Transition. Journal of Visualized Experiments. e51845–e51845. 2 indexed citations
13.
Liu, Sali & Chonghui Cheng. (2013). Alternative RNA splicing and cancer. Wiley Interdisciplinary Reviews - RNA. 4(5). 547–566. 68 indexed citations
14.
Brown, Rhonda L., Lauren M. Reinke, Denise Perez, et al.. (2011). CD44 splice isoform switching in human and mouse epithelium is essential for epithelial-mesenchymal transition and breast cancer progression. Journal of Clinical Investigation. 121(3). 1064–1074. 502 indexed citations breakdown →
15.
Cheng, Chonghui, Michael B. Yaffe, & Phillip A. Sharp. (2006). A positive feedback loop couples Ras activation and CD44 alternative splicing. Genes & Development. 20(13). 1715–1720. 120 indexed citations
16.
Cheng, Chonghui & Stewart Shuman. (2000). Recombinogenic Flap Ligation Pathway for Intrinsic Repair of Topoisomerase IB-Induced Double-Strand Breaks. Molecular and Cellular Biology. 20(21). 8059–8068. 23 indexed citations
17.
Cheng, Chonghui, Paul Kussie, Nikola P. Pavletich, & Stewart Shuman. (1998). Conservation of Structure and Mechanism between Eukaryotic Topoisomerase I and Site-Specific Recombinases. Cell. 92(6). 841–850. 202 indexed citations
18.
Cheng, Chonghui & Stewart Shuman. (1998). A Catalytic Domain of Eukaryotic DNA Topoisomerase I. Journal of Biological Chemistry. 273(19). 11589–11595. 26 indexed citations
19.
Cheng, Chonghui. (1997). Characterization of an ATP-dependent DNA ligase encoded by Haemophilus influenzae. Nucleic Acids Research. 25(7). 1369–1374. 48 indexed citations
20.
Sekiguchi, JoAnn, Chonghui Cheng, & Stewart Shuman. (1997). Kinetic Analysis of DNA and RNA Strand Transfer Reactions Catalyzed by Vaccinia Topoisomerase. Journal of Biological Chemistry. 272(25). 15721–15728. 24 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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