Chao Shen

5.6k total citations
33 papers, 1.0k citations indexed

About

Chao Shen is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Chao Shen has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Chao Shen's work include MicroRNA in disease regulation (8 papers), RNA modifications and cancer (8 papers) and Epigenetics and DNA Methylation (6 papers). Chao Shen is often cited by papers focused on MicroRNA in disease regulation (8 papers), RNA modifications and cancer (8 papers) and Epigenetics and DNA Methylation (6 papers). Chao Shen collaborates with scholars based in China, United States and Netherlands. Chao Shen's co-authors include Jia Yu, Jun‐Wu Zhang, Rui Su, Xiao‐Kang Li, Yanni Ma, Wei Wang, Yan Liu, Di Yang, Xin Xiao and Shuo Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Nature Cell Biology.

In The Last Decade

Chao Shen

30 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chao Shen 779 550 134 93 90 33 1.0k
Xiulan Yang 442 0.6× 379 0.7× 152 1.1× 55 0.6× 90 1.0× 25 861
Xue‐Qun Luo 1.2k 1.5× 881 1.6× 105 0.8× 116 1.2× 202 2.2× 59 1.5k
Juan Yu 452 0.6× 355 0.6× 113 0.8× 73 0.8× 36 0.4× 33 659
Jie Shi 366 0.5× 300 0.5× 107 0.8× 44 0.5× 73 0.8× 48 644
Jehng-Kang Wang 295 0.4× 208 0.4× 157 1.2× 57 0.6× 142 1.6× 40 854
Claudia Montaldo 791 1.0× 481 0.9× 115 0.9× 155 1.7× 19 0.2× 27 1.1k
Anna Pastò 616 0.8× 355 0.6× 160 1.2× 98 1.1× 22 0.2× 26 970
Shweta Dubey 352 0.5× 164 0.3× 247 1.8× 52 0.6× 66 0.7× 23 719
Jae Won Yun 353 0.5× 253 0.5× 108 0.8× 93 1.0× 59 0.7× 53 910
Markus Duechler 640 0.8× 204 0.4× 187 1.4× 80 0.9× 89 1.0× 29 981

Countries citing papers authored by Chao Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chao Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Shen. A scholar is included among the top collaborators of Chao Shen 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 Chao Shen. Chao Shen 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.
Li, Xiaoyang, Guangxu Zhu, Hang Li, et al.. (2025). Integrated Sensing and Communication for Low Altitude Economy: Opportunities and Challenges. IEEE Communications Magazine. 63(12). 72–78. 8 indexed citations
2.
Qin, Xi, Keren Zhou, Yang Lü, et al.. (2025). CRISPR screening reveals ZNF217 as a vulnerability in high-risk B-cell acute lymphoblastic leukemia. Theranostics. 15(8). 3234–3256.
3.
Zhang, Fangliang, Lei Zhang, Yanzhen Wang, et al.. (2024). PARP inhibition leads to synthetic lethality with key splicing-factor mutations in myelodysplastic syndromes. British Journal of Cancer. 131(2). 231–242. 2 indexed citations
4.
Zhang, Boning, et al.. (2024). Enhanced Oxidation Resistance of Pt‐Containing Inconel 718 Alloy through Facilitated Formation of Protective Chromia. Advanced Engineering Materials. 27(2). 1 indexed citations
5.
Hu, Tingting, et al.. (2023). Biomimetic Cell-Derived Nanoparticles: Emerging Platforms for Cancer Immunotherapy. Pharmaceutics. 15(7). 1821–1821. 15 indexed citations
6.
Dou, Xiaoyang, Yu Xiao, Chao Shen, et al.. (2023). RBFOX2 recognizes N6-methyladenosine to suppress transcription and block myeloid leukaemia differentiation. Nature Cell Biology. 25(9). 1359–1368. 52 indexed citations
7.
Shen, Chao, Kitty Wang, Wei Li, et al.. (2022). A homozygous nonsense mutation in DNAJC30 causes Leber's hereditary optic neuropathy with Leigh-like phenotypes. Genes & Diseases. 10(4). 1165–1168. 1 indexed citations
8.
Shen, Chao, Kitty Wang, Xiaolan Deng, & Jianjun Chen. (2022). DNA N6-methyldeoxyadenosine in mammals and human disease. Trends in Genetics. 38(5). 454–467. 37 indexed citations
9.
Zhao, Huanhuan, Jun Lu, Yan Tong, et al.. (2022). Opioid receptor signaling suppresses leukemia through both catalytic and non-catalytic functions of TET2. Cell Reports. 38(4). 110253–110253. 6 indexed citations
10.
Qian, Xiaoyu, Jian Tang, Kai Chen, et al.. (2021). A Novel Pyroptosis-Related Gene Signature for Prognostic Prediction of Head and Neck Squamous Cell Carcinoma. International Journal of General Medicine. Volume 14. 7669–7679. 11 indexed citations
11.
Zhang, Tao, Lijian Chen, Xundi Xu, & Chao Shen. (2020). Knockdown of Long Noncoding RNA Urothelial Carcinoma-Associated 1 Represses Gallbladder Cancer Advancement by Regulating SPOCK1 Expression Through Sponging miR-613. Cancer Biotherapy and Radiopharmaceuticals. 38(6). 354–363. 3 indexed citations
12.
Wang, Boshi, Chao Shen, Li Y, et al.. (2019). Oridonin overcomes the gemcitabine resistant PANC-1/Gem cells by regulating GST pi and LRP/1 ERK/JNK signalling. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Xiao, Xin, Wei Wang, Yuqian Li, et al.. (2018). HSP90AA1-mediated autophagy promotes drug resistance in osteosarcoma. Journal of Experimental & Clinical Cancer Research. 37(1). 201–201. 221 indexed citations
14.
Shen, Chao, Yang Liu, Lina Zhang, et al.. (2017). Next-generation sequencing for D47N mutation in Cx50 analysis associated with autosomal dominant congenital cataract in a six-generation Chinese family. BMC Ophthalmology. 17(1). 73–73. 8 indexed citations
15.
Bai, Yinshan, Shanshan Liu, Hengxi Wei, et al.. (2016). Differential gene expression in mouse spermatogonial stem cells and embryonic stem cells. International Journal of Molecular Medicine. 38(2). 423–432. 6 indexed citations
16.
Shen, Chao, Mingtai Chen, Xinhua Zhang, et al.. (2016). The PU.1-Modulated MicroRNA-22 Is a Regulator of Monocyte/Macrophage Differentiation and Acute Myeloid Leukemia. PLoS Genetics. 12(9). e1006259–e1006259. 52 indexed citations
17.
Huang, Jinghui, Chao Shen, Michael S. Chang, et al.. (2015). Surgical Treatment of Congenital Scoliosis Associated With Tethered Cord by Thoracic Spine-shortening Osteotomy Without Cord Detethering. Spine. 40(20). E1103–E1109. 24 indexed citations
18.
Chen, Mingtai, Lei Dong, Xinhua Zhang, et al.. (2015). ZFP36L1 promotes monocyte/macrophage differentiation by repressing CDK6. Scientific Reports. 5(1). 16229–16229. 42 indexed citations
19.
Su, Rui, Zhang Xiu, B. Liu, et al.. (2014). MiR-181 family: regulators of myeloid differentiation and acute myeloid leukemia as well as potential therapeutic targets. Oncogene. 34(25). 3226–3239. 144 indexed citations
20.
Yu, Jia, Zhang Xiu, Zhijian Xiao, et al.. (2013). The role, mechanism and potentially therapeutic application of microRNA-29 family in acute myeloid leukemia. Cell Death and Differentiation. 21(1). 100–112. 83 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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