Chuandong Cheng

892 total citations
23 papers, 604 citations indexed

About

Chuandong Cheng is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Chuandong Cheng has authored 23 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Chuandong Cheng's work include Ubiquitin and proteasome pathways (4 papers), Cancer-related molecular mechanisms research (4 papers) and Protein Degradation and Inhibitors (3 papers). Chuandong Cheng is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Cancer-related molecular mechanisms research (4 papers) and Protein Degradation and Inhibitors (3 papers). Chuandong Cheng collaborates with scholars based in China, France and United States. Chuandong Cheng's co-authors include Jinhuai Liu, Run Su, Deyun Zhang, Chaoshi Niu, Chao Niu, Yang� Yang, Yongfei Dong, Wanxiang Niu, Dongxue Li and Yang Yang and has published in prestigious journals such as Journal of Clinical Oncology, Cell Metabolism and Cell Death and Disease.

In The Last Decade

Chuandong Cheng

22 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuandong Cheng China 13 372 228 95 59 59 23 604
Chuan Lan China 12 379 1.0× 322 1.4× 92 1.0× 41 0.7× 27 0.5× 32 701
Yunhao Luo China 14 240 0.6× 49 0.2× 106 1.1× 48 0.8× 74 1.3× 32 625
Krithika Bhuvaneshwar United States 14 350 0.9× 182 0.8× 110 1.2× 76 1.3× 46 0.8× 32 624
Ludvig Bergenstråhle Sweden 9 1.2k 3.2× 261 1.1× 127 1.3× 18 0.3× 89 1.5× 11 1.4k
Linnea Stenbeck Sweden 5 965 2.6× 255 1.1× 153 1.6× 17 0.3× 88 1.5× 7 1.2k
Xavier Moles Lopez Belgium 13 189 0.5× 105 0.5× 206 2.2× 67 1.1× 77 1.3× 18 750
Nameeta Shah United States 14 419 1.1× 197 0.9× 97 1.0× 173 2.9× 49 0.8× 27 702
Liwei Jia United States 15 283 0.8× 78 0.3× 52 0.5× 23 0.4× 61 1.0× 68 616
J Ricardo McFaline-Figueroa United States 9 301 0.8× 43 0.2× 45 0.5× 114 1.9× 87 1.5× 24 620
Mika Sarkin Jain United States 6 486 1.3× 120 0.5× 68 0.7× 11 0.2× 41 0.7× 12 646

Countries citing papers authored by Chuandong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Chuandong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuandong Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Chuandong Cheng. A scholar is included among the top collaborators of Chuandong 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 Chuandong Cheng. Chuandong 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.
Chen, Yinan, Changqing Liu, Jin Zhang, et al.. (2024). Cold atmospheric‐pressure plasma selectively inhibits glioblastoma via DNA damage and AKT dephosphorylation in vitro and in vivo. Plasma Processes and Polymers. 21(5). 4 indexed citations
2.
Li, Dingfeng, Xinyi Gao, Xiaolin Ma, et al.. (2024). Aging-induced tRNAGlu-derived fragment impairs glutamate biosynthesis by targeting mitochondrial translation-dependent cristae organization. Cell Metabolism. 36(5). 1059–1075.e9. 36 indexed citations
3.
Liu, Nianping, Chen Jiang, Xinfeng Yao, et al.. (2023). Single-cell landscape of primary central nervous system diffuse large B-cell lymphoma. Cell Discovery. 9(1). 55–55. 10 indexed citations
4.
Li, Jun, et al.. (2023). Less Is More: Reducing Overfitting in Deep Learning for EEG Classification. Computing in cardiology. 50. 1 indexed citations
5.
Cheng, Chuandong, Yue Wang, Ting Zhang, et al.. (2022). SREBP2/Rab11s/GLUT1/6 network regulates proliferation and migration of glioblastoma. Pathology - Research and Practice. 240. 154176–154176. 7 indexed citations
6.
Cheng, Chuandong, Yue Wang, Yue Wang, et al.. (2021). Synergistic Effect of Statins and Abiraterone Acetate on the Growth Inhibition of Neuroblastoma via Targeting Androgen Receptor. Frontiers in Oncology. 11. 595285–595285. 7 indexed citations
7.
Dong, Yongfei, et al.. (2021). SOCS1/JAK2/STAT3 axis regulates early brain injury induced by subarachnoid hemorrhage via inflammatory responses. Neural Regeneration Research. 16(12). 2453–2453. 23 indexed citations
8.
Su, Run, Deyun Zhang, Jinhuai Liu, & Chuandong Cheng. (2021). MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation. Frontiers in Genetics. 12. 639930–639930. 96 indexed citations
9.
10.
Su, Run, Jinhuai Liu, Deyun Zhang, Chuandong Cheng, & Mingquan Ye. (2020). Multimodal Glioma Image Segmentation Using Dual Encoder Structure and Channel Spatial Attention Block. Frontiers in Neuroscience. 14. 586197–586197. 9 indexed citations
11.
Chen, Yinan, et al.. (2020). EZH2 is a potential prognostic predictor of glioma. Journal of Cellular and Molecular Medicine. 25(2). 925–936. 37 indexed citations
12.
Cheng, Chuandong, Yongfei Dong, Wanxiang Niu, & Chaoshi Niu. (2020). HAUSP promoted the growth of glioma cells in vitro and in vivo via stabilizing NANOG. Pathology - Research and Practice. 216(4). 152883–152883. 10 indexed citations
13.
Wang, Yuan Yuan, Pin Wang, Yao Huang, et al.. (2019). SVIP alleviates CCl4-induced liver fibrosis via activating autophagy and protecting hepatocytes. Cell Death and Disease. 10(2). 71–71. 23 indexed citations
14.
Niu, Chaoshi, et al.. (2019). Neuroprotection mediated by the Wnt/Frizzled signaling pathway in early brain injury induced by subarachnoid hemorrhage. Neural Regeneration Research. 14(6). 1013–1013. 17 indexed citations
15.
Niu, Wanxiang, et al.. (2018). Effects of lentivirus-mediated CYP17A1 gene silencing on the biological activity of glioma. Neuroscience Letters. 692. 210–215. 2 indexed citations
16.
Qin, Yuanyuan, Weilong Chen, Bingjie Liu, et al.. (2017). MiR-200c Inhibits the Tumor Progression of Glioma via Targeting Moesin. Theranostics. 7(6). 1663–1673. 37 indexed citations
17.
Li, Dongxue, Yongfei Dong, Chuandong Cheng, et al.. (2017). The long non-coding RNA CRNDE acts as a ceRNA and promotes glioma malignancy by preventing miR-136-5p-mediated downregulation of Bcl-2 and Wnt2. Oncotarget. 8(50). 88163–88178. 72 indexed citations
18.
Cheng, Chuandong, Chaoshi Niu, Yang Yang, Yang Wang, & Manman Lu. (2013). Expression of HAUSP in gliomas correlates with disease progression and survival of patients. Oncology Reports. 29(5). 1730–1736. 47 indexed citations
19.
Niu, Chao, Yang� Yang, & Chuandong Cheng. (2013). MiR-134 regulates the proliferation and invasion of glioblastoma cells by reducing Nanog expression. International Journal of Oncology. 42(5). 1533–1540. 70 indexed citations
20.
Yang, Yang, Chaoshi Niu, & Chuandong Cheng. (2013). Pin1-Nanog expression in human glioma is correlated with advanced tumor progression. Oncology Reports. 30(2). 560–566. 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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