What is he best known for?
The fields of study he is best known for:
Liang-Hu Qu spends much of his time researching microRNA, Genetics, Gene, RNA and Regulation of gene expression.
The study incorporates disciplines such as Cancer research, Gene expression profiling, Three prime untranslated region, Competing endogenous RNA and Leukemia in addition to microRNA.
His Genome, Transcriptional regulation, Genomics and Flagellum study, which is part of a larger body of work in Gene, is frequently linked to Database, bridging the gap between disciplines.
His Genome research incorporates themes from Chlamydomonas, Gonium, Chlamydomonas reinhardtii and Intraflagellar transport.
Liang-Hu Qu interconnects Ribosomal RNA, Messenger RNA, Computational biology and Deep sequencing in the investigation of issues within RNA.
The various areas that Liang-Hu Qu examines in his Regulation of gene expression study include Cell growth, Cervical cancer, Apoptosis, HeLa and Cell biology.
His most cited work include:
- The Chlamydomonas Genome Reveals the Evolution of Key Animal and Plant Functions (2003 citations)
- 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)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Gene, RNA, microRNA and Small nucleolar RNA.
His Genetics research focuses on Genome, Ribosomal RNA, Intron, Gene expression and Regulation of gene expression.
His work on Conserved sequence, Gene family and Gene cluster as part of his general Gene study is frequently connected to Database, thereby bridging the divide between different branches of science.
His RNA research is multidisciplinary, relying on both Computational biology and Genomics.
As part of one scientific family, he deals mainly with the area of Computational biology, narrowing it down to issues related to the RNA-binding protein, and often Argonaute.
His microRNA research incorporates elements of Cancer research, Gene expression profiling, Deep sequencing, Cell biology and Gene silencing.
He most often published in these fields:
- Genetics (48.47%)
- Gene (32.14%)
- RNA (29.08%)
What were the highlights of his more recent work (between 2014-2021)?
- RNA (29.08%)
- microRNA (26.02%)
- Cell biology (14.80%)
In recent papers he was focusing on the following fields of study:
Liang-Hu Qu mostly deals with RNA, microRNA, Cell biology, Genetics and Computational biology.
His RNA research includes themes of Gene expression, Sequence analysis, Molecular Sequence Annotation and Human genome.
Liang-Hu Qu studies microRNA, namely Small nucleolar RNA.
His research integrates issues of Translation, Regulation of gene expression and MiR-122 in his study of Cell biology.
He combines subjects such as Genome, Sequencing data, Deep sequencing, RNA-binding protein and Pseudouridine with his study of Computational biology.
His Gene research integrates issues from Cell and Cell type.
Between 2014 and 2021, his most popular works were:
- Recognition of RNA N 6 -methyladenosine by IGF2BP proteins enhances mRNA stability and translation (448 citations)
- Histone H3 trimethylation at lysine 36 guides m 6 A RNA modification co-transcriptionally (137 citations)
- deepBase v2.0: identification, expression, evolution and function of small RNAs, LncRNAs and circular RNAs from deep-sequencing data (128 citations)
In his most recent research, the most cited papers focused on:
Liang-Hu Qu mainly investigates RNA, Computational biology, Genetics, microRNA and Cell biology.
His Computational biology study combines topics from a wide range of disciplines, such as Downregulation and upregulation, Long non-coding RNA, RNA-binding protein and Pseudouridine.
His Genetics study is mostly concerned with Genome, Gene, Molecular Sequence Annotation and Sequence analysis.
His Gene research includes elements of Agriculture, Biotechnology and Resistance.
His work on MicroRNA Gene as part of general microRNA research is frequently linked to Heavy metal detoxification, bridging the gap between disciplines.
His research in Cell biology intersects with topics in Regulation of gene expression, Gene expression, MRNA modification and Cellular differentiation.
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