C
Chao Zhang
Researcher at Beihang University
Publications - 4347
Citations - 118320
Chao Zhang is an academic researcher from Beihang University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 127, co-authored 3119 publications receiving 84711 citations. Previous affiliations of Chao Zhang include West Virginia University & University of Oklahoma.
Papers
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Circular RNA circITGA7 inhibits colorectal cancer growth and metastasis by modulating the Ras pathway and upregulating transcription of its host gene ITGA7
Xiaomin Li,Xiaomin Li,Jianjun Wang,Chao Zhang,Chun Lin,Jianming Zhang,Wei Zhang,Wenjuan Zhang,Yanxia Lu,Lin Zheng,Xuenong Li +10 more
TL;DR: It is revealed that circITGA7 inhibits the proliferation and metastasis of CRC cells by suppressing the Ras signalling pathway and promoting the transcription of ITGA7, suggesting that circitGA7 is a potential target for CRC treatment.
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One-step synthesis of graphene nanoribbon–MnO2 hybrids and their all-solid-state asymmetric supercapacitors
TL;DR: Greater enhanced energy storage ability and high rate capability can be attributed to the homogeneous dispersion and excellent pseudocapacitive performance of MnO₂ nanoparticles and the high electrical conductivity of the GNRs.
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Structural Regulation with Atomic-Level Precision: From Single-Atomic Site to Diatomic and Atomic Interface Catalysis
TL;DR: In this paper, the authors compare single-atomic-site catalysts with clusters/nanoparticles in terms of their catalytic behaviors, and systematically interpret the impacts of the microscopic structures of SASCs on catalytic performances.
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Characterization of a potent and selective small-molecule inhibitor of the PIM1 kinase
Sheldon L. Holder,Marina Zemskova,Chao Zhang,Maryam Tabrizizad,Ryan Bremer,Jonathan W. Neidigh,Michael B. Lilly +6 more
TL;DR: Quercetagetin can function as a moderately potent and selective, cell-permeable inhibitor of the pim-1 kinase, and may be useful for proof-of-concept studies to support the development of clinically useful PIM1 inhibitors.
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Coupled mechanical-electrical-thermal modeling for short-circuit prediction in a lithium-ion cell under mechanical abuse
TL;DR: In this article, a coupled modeling methodology encompassing the mechanical, electrical and thermal response is presented for predicting short-circuit under external crush, where the combined mechanical-electrical-thermal response is simulated in a commercial finite element software LS-DYNA® using a representative-sandwich finite-element model.