scispace - formally typeset
Search or ask a question
Institution

Henan University of Technology

EducationZhengzhou, China
About: Henan University of Technology is a education organization based out in Zhengzhou, China. It is known for research contribution in the topics: Catalysis & Chemistry. The organization has 7648 authors who have published 6503 publications receiving 73067 citations. The organization is also known as: Hénán Gōngyè Dàxué.


Papers
More filters
Journal ArticleDOI
TL;DR: This study has identified novel candidate biomarkers, pathways, transcription factors (TFs), and kinases associated with NSCLC prognosis, as well as drug candidates, which may assist treatment strategy forNSCLC patients.

41 citations

Journal ArticleDOI
TL;DR: In this article, a transition-metal free decarboxylative coupling reaction of oxamic acids with quinoxalin-2(1H)-ones has been developed under mild conditions.
Abstract: A practical transition-metal free decarboxylative coupling reaction of oxamic acids with quinoxalin-2(1H)-ones has been developed under mild conditions. This transformation provides an efficient approach for the preparation of 3-carbamoyl quinoxalin-2(1H)-ones, which are important subunits in biologically active natural products and medicinal chemistry. This protocol features broad substrate scope, good yields, and mild reaction conditions.

41 citations

Journal ArticleDOI
TL;DR: The theoretical analysis proves ATSA protocol can reduce the time delay at least 20% than the media access control protocol for vehicular ad-hoc networks (VeMAC), channel utilization is significantly improved than several existing protocols and ATSA has a good scalability.

41 citations

Journal ArticleDOI
TL;DR: The graphical results confirm the potential of LSSVM algorithm to be a predicting tool and a simple software for estimation of HHV as function of ultimate analysis.
Abstract: The higher heating value (HHV) is known as one of the energy evaluation parameters for biomass which has wide application in economic aspects investigation of energy sources. In this investigation ...

41 citations

Journal ArticleDOI
TL;DR: A global interaction network of miRNA–mRNA in lung cancer will contribute to refining miRNA target predictions and developing novel therapeutic candidates.
Abstract: MicroRNAs (miRNAs) are small RNA molecules, about 20-25 nucleotides in length. They repress or degrade messenger RNA (mRNA) translation, which are involved in human cancer. In this study based on paired miRNA and mRNA expression profiles of non-small cell lung cancer samples, we constructed and analyzed miRNA-mRNA interaction network via several bioinformatics softwares and platforms. This integrative network is comprised of 249 nodes for mRNA, 90 nodes for miRNA and 290 edges that show regulations between target genes and miRNAs. The three miR-1207-5p, miR-1228* and miR-939 are the most connected miRNA that regulated a large number of genes. ST8SIA2, MED1 and HDAC4, SPN, which are targeted by multiple miRNAs and located in the center of the network, are involved in both lung cancer and nervous system via functional annotation analysis. Such a global interaction network of miRNA-mRNA in lung cancer will contribute to refining miRNA target predictions and developing novel therapeutic candidates.

41 citations


Authors

Showing all 7708 results

NameH-indexPapersCitations
Xin Li114277871389
Yang Liu82169533657
Qing-Hua Qin525059939
Dong-Qing Wei484187839
Feng Qi4758110687
Jian Jian Li461197577
Hongshun Yang461655539
Shuangqiang Chen41735539
Fei Xu403146102
Dennis R. Salahub391329259
Lingbo Qu372914894
Yuting Wang378011820
Zhiyong Jiang361353559
Baoping Tang31832455
Jinliang Liu301072317
Network Information
Related Institutions (5)
Jiangnan University
29K papers, 450.1K citations

88% related

South China University of Technology
69.4K papers, 1.2M citations

88% related

Southwest University
27.7K papers, 409.4K citations

86% related

Zhengzhou University
50.3K papers, 668.6K citations

85% related

Zhejiang University of Technology
25.2K papers, 336.1K citations

85% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202325
2022128
2021799
2020670
2019574
2018452