What is he best known for?
The fields of study he is best known for:
Hui Zhou mostly deals with microRNA, Gene, Genetics, Gene expression profiling and Genome.
The study incorporates disciplines such as Cancer research, RNA, RNA-binding protein, Regulation of gene expression and Leukemia in addition to microRNA.
His RNA-binding protein study integrates concerns from other disciplines, such as Competing endogenous RNA and Pseudogene.
His work on Transcriptional regulation as part of his general Gene study is frequently connected to Database, thereby bridging the divide between different branches of science.
Genetics is a component of his Gene expression, Gene regulatory network, Long non-coding RNA, Oryza sativa and Genomics studies.
The ICLIP study combines topics in areas such as Non-coding RNA, Computational biology and Argonaute.
His most cited work include:
- starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein–RNA interaction networks from large-scale CLIP-Seq data (1775 citations)
- starBase: a database for exploring microRNA–mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data (547 citations)
- DNA-binding and cleavage studies of macrocyclic copper(II) complexes (275 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genetics, Gene, Small nucleolar RNA, microRNA and RNA.
When carried out as part of a general Gene research project, his work on Intron, Gene cluster, Transcriptional regulation and Phylogenetic tree is frequently linked to work in Conserved sequence, therefore connecting diverse disciplines of study.
His Small nucleolar RNA study combines topics in areas such as Ribosomal RNA, Schizosaccharomyces pombe, Schizosaccharomyces and Methylation.
His research integrates issues of Cancer research, Gene expression profiling, Cell biology, Gene silencing and Leukemia in his study of microRNA.
Hui Zhou has included themes like Transcriptome and Computational biology in his RNA study.
His Computational biology study deals with RNA-binding protein intersecting with Argonaute.
He most often published in these fields:
- Genetics (48.39%)
- Gene (36.29%)
- Small nucleolar RNA (30.65%)
What were the highlights of his more recent work (between 2014-2020)?
- microRNA (28.23%)
- Cell biology (14.52%)
- Cancer research (10.48%)
In recent papers he was focusing on the following fields of study:
MicroRNA, Cell biology, Cancer research, RNA and Genetics are his primary areas of study.
His Cell biology research includes elements of Coactivator, Cell and MiR-122.
His work deals with themes such as Epithelial–mesenchymal transition, Cell culture, Wnt signaling pathway and Phosphorylation, which intersect with Cancer research.
His RNA research is multidisciplinary, incorporating perspectives in Somatic cell, Computational biology, Transcription, DNA sequencing and A-DNA.
His work carried out in the field of Computational biology brings together such families of science as Cancer, RNA-binding protein and Long non-coding RNA.
Genome, Gene, Carcinogenesis and Gene expression profiling are subfields of Genetics in which his conducts study.
Between 2014 and 2020, his most popular works were:
- deepBase v2.0: identification, expression, evolution and function of small RNAs, LncRNAs and circular RNAs from deep-sequencing data (128 citations)
- ChIPBase v2.0: decoding transcriptional regulatory networks of non-coding RNAs and protein-coding genes from ChIP-seq data (107 citations)
- RMBase: a resource for decoding the landscape of RNA modifications from high-throughput sequencing data (106 citations)
In his most recent research, the most cited papers focused on:
Hui Zhou mainly investigates Computational biology, Genome, Genetics, Downregulation and upregulation and RNA-binding protein.
His studies examine the connections between Computational biology and genetics, as well as such issues in Long non-coding RNA, with regards to RNA-Seq, Sequence analysis and Deep sequencing.
His Genome study incorporates themes from RNA and microRNA.
Hui Zhou combines subjects such as Cancer cell, Warburg effect, Cancer research and In vivo with his study of Downregulation and upregulation.
Hui Zhou interconnects Gene expression and Bioinformatics in the investigation of issues within RNA-binding protein.
His study in Gene expression profiling, Chromatin immunoprecipitation, Transcriptional regulation, Gene regulatory network and Non-coding RNA falls under the purview of Gene.
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