Shanrong Zhao

Jiangxi Copper (China) — China

Biochemistry, Genetics and Molecular Biology · Life Sciences

22h-index6.1kcitations54works8.02yr avg
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Research Topics

RNA modifications and cancer(15), Genomics and Phylogenetic Studies(12), Cancer-related molecular mechanisms research(11), RNA Research and Splicing(8), Gene expression and cancer classification(7)

Publications54 total

The study on the shortcut approach for cooperative disposal of arsenic-rich copper dust and waste acid to prepare high-purity copper
Journal of Cleaner Production·2024· 8 cited
A protein kinase C α and β inhibitor blunts hyperphagia to halt renal function decline and reduces adiposity in a rat model of obesity-driven type 2 diabetes
Scientific Reports·2023· 1 citedOpen Access
The Type I Interferon Signature Reflects Multiple Phenotypic and Activity Measures in Dermatomyositis
Arthritis & Rheumatology·2023· 29 citedOpen Access
Effect of Mechanical Activation on Leaching Behavior and Mechanism of Chalcopyrite
Mineral Processing and Extractive Metallurgy Review·2021· 34 cited
Single-cell analyses of Crohn’s disease tissues reveal intestinal intraepithelial T cells heterogeneity and altered subset distributions
Nature Communications·2021· 225 citedOpen Access
AB015. Skin disease activity and autoantibody phenotype are major determinants of blood interferon signatures in dermatomyositis
Annals of Translational Medicine·2021Open Access
RNA Sequencing to Explore Dominant Isoform Switch During CCR6+ Memory T Cell Activation
Research Square (Research Square)·2021· 1 citedOpen Access
QuickIsoSeq for Isoform Quantification in Large-Scale RNA Sequencing
Methods in molecular biology·2021· 2 citedOpen Access
Pharmacologic inhibition of Protein Kinase C α and Protein Kinase C β halts renal function decline indirectly, by blunting hyperphagia, and directly reduces adiposity in the ZSF1 rat model of type 2 diabetes
2020Open Access
Misuse of RPKM or TPM normalization when comparing across samples and sequencing protocols
RNA·2020· 466 citedOpen Access
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data
BMC Bioinformatics·2020· 76 citedOpen Access
Publisher Correction: Subsets of ILC3−ILC1-like cells generate a diversity spectrum of innate lymphoid cells in human mucosal tissues
Nature Immunology·2019· 4 citedOpen Access
Subsets of ILC3−ILC1-like cells generate a diversity spectrum of innate lymphoid cells in human mucosal tissues
Nature Immunology·2019· 190 citedOpen Access
THU0033 RNA PROFILING OF HEALTHY AND RHEUMATOID ARTHRITIS SUBJECTS TREATED WITH TOFACITINIB MONOTHERAPY
Annals of the Rheumatic Diseases·2019· 3 citedOpen Access
Applications of machine learning in drug discovery and development
Nature Reviews Drug Discovery·2019· 2.7k citedOpen Access
Alternative splicing, RNA-seq and drug discovery
Drug Discovery Today·2019· 85 cited
Deep learning of representations for transcriptomics-based phenotype prediction
2019· 7 citedOpen Access
Molecular Profiling of Ulcerative Colitis Subjects from the TURANDOT Trial Reveals Novel Pharmacodynamic/Efficacy Biomarkers
Journal of Crohn s and Colitis·2019· 20 citedOpen Access
Computational identification and validation of alternative splicing in ZSF1 rat RNA-seq data, a preclinical model for type 2 diabetic nephropathy
Scientific Reports·2018· 11 citedOpen Access
canvasDesigner: a versatile interactive high-resolution scientific multi-panel visualization toolkit
Bioinformatics·2018· 8 citedOpen Access
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Frequent Co-authors

Baohong Zhang(20), David von Schack(7), Chi Zhang(7), Xi Li(7), Michael S. Vincent(6), Ramya Gamini(5), William Gordon(5), Ken Dower(5), Mateusz Maciejewski(4), Daniel Ziemek(4), Wen He(4), Yutian Zhan(4), Robert V. Martinez(4), Kaixian Chen(4), Marina Cella(3), Jorge Schettini(3), Maxim N. Artyomov(3), Scott A. Jelinsky(3), Marco Colonna(3), Lih‐Ling Lin(3)