What is he best known for?
The fields of study he is best known for:
Li Yang mostly deals with Genetics, RNA, Computational biology, Gene and Exon.
Transcription, RNA splicing, Gene expression, Gene expression profiling and Drosophila melanogaster are the primary areas of interest in his Genetics study.
His RNA splicing research is multidisciplinary, incorporating perspectives in Biogenesis and Circular RNA.
His research integrates issues of Molecular biology, Intron and Cell biology in his study of RNA.
He has included themes like Transcriptome, APOBEC, Genome, Cas9 and DNA in his Computational biology study.
Li Yang works in the field of Gene, namely microRNA.
His most cited work include:
- The developmental transcriptome of Drosophila melanogaster (1182 citations)
- Circular Intronic Long Noncoding RNAs (1051 citations)
- Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE (991 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include RNA, Computational biology, Cell biology, Genetics and Cancer research.
His RNA research incorporates elements of Regulation of gene expression, Messenger RNA and Transcription.
Li Yang combines subjects such as CRISPR, Transcriptome, Genome, RNA splicing and Exon with his study of Computational biology.
His study in Gene, Small nucleolar RNA, Intron, Alternative splicing and Biogenesis is carried out as part of his Genetics studies.
Li Yang studies Circular RNA which is a part of Gene.
Li Yang has researched Cancer research in several fields, including Cancer, Metastasis, Transforming growth factor beta and Immunology.
He most often published in these fields:
- RNA (24.26%)
- Computational biology (22.30%)
- Cell biology (20.10%)
What were the highlights of his more recent work (between 2019-2021)?
- Computational biology (22.30%)
- Electrolyte (4.17%)
- RNA (24.26%)
In recent papers he was focusing on the following fields of study:
Li Yang mainly focuses on Computational biology, Electrolyte, RNA, Cell biology and Messenger RNA.
His Computational biology study also includes
- CRISPR which is related to area like Effector,
- Exon which is related to area like Circular RNA.
The RNA study combines topics in areas such as Transcriptome and Alternative splicing.
His work carried out in the field of Cell biology brings together such families of science as Embryonic stem cell, RNA splicing and Deamination.
He interconnects Subcellular localization and Long non-coding RNA in the investigation of issues within RNA splicing.
His Genome study improves the overall literature in Genetics.
Between 2019 and 2021, his most popular works were:
- Recapitulation of SARS-CoV-2 infection and cholangiocyte damage with human liver ductal organoids. (92 citations)
- Dual base editor catalyzes both cytosine and adenine base conversions in human cells (33 citations)
- Distinct Processing of lncRNAs Contributes to Non-conserved Functions in Stem Cells. (33 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are RNA, Catalysis, Messenger RNA, Translation and Cell biology.
His RNA study integrates concerns from other disciplines, such as Cytosine, Stereochemistry and DNA damage.
His Messenger RNA research incorporates elements of Bisulfite sequencing, CRISPR, Transcriptome, Exon and Computational biology.
His studies deal with areas such as Cell growth, Guide RNA, Alternative splicing, RNA interference and Regulation of gene expression as well as Computational biology.
The various areas that Li Yang examines in his Translation study include Transfer RNA and Ribosome, Polysome.
His work carried out in the field of Cell biology brings together such families of science as Splicing factor, RNA splicing, Embryonic stem cell and Long non-coding RNA.
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