What is he best known for?
The fields of study he is best known for:
Runsheng Chen mainly focuses on Genetics, RNA, Genome, Gene and Computational biology.
His RNA research incorporates elements of Transcription and Intron.
His Genome research includes themes of Sequence analysis and Candidate gene.
His Computational biology study incorporates themes from Annotation and Basic Local Alignment Search Tool.
Runsheng Chen interconnects Base sequence and Molecular Sequence Annotation in the investigation of issues within Annotation.
His Genomics study combines topics from a wide range of disciplines, such as Data type, Data hub, Database and Shotgun sequencing.
His most cited work include:
- A draft sequence of the rice genome (Oryza sativa L. ssp indica) (3649 citations)
- Utilizing sequence intrinsic composition to classify protein-coding and long non-coding transcripts (672 citations)
- Topological structure analysis of the protein–protein interaction network in budding yeast (587 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Genetics, Gene, Genome, Computational biology and RNA.
Non-coding RNA, Gene expression profiling, Regulation of gene expression, Small nucleolar RNA and Caenorhabditis elegans are the core of his Genetics study.
His work is dedicated to discovering how Genome, Bioinformatics are connected with Cancer research and other disciplines.
As a member of one scientific family, Runsheng Chen mostly works in the field of Computational biology, focusing on Annotation and, on occasion, Molecular Sequence Annotation.
His RNA research incorporates themes from Molecular biology and Database.
His study looks at the relationship between Long non-coding RNA and fields such as Cell biology, as well as how they intersect with chemical problems.
He most often published in these fields:
- Genetics (44.24%)
- Gene (29.37%)
- Genome (22.68%)
What were the highlights of his more recent work (between 2015-2021)?
- Gene (29.37%)
- Computational biology (18.96%)
- Long non-coding RNA (11.52%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Gene, Computational biology, Long non-coding RNA, RNA and Cancer research.
His Gene study is concerned with the larger field of Genetics.
His biological study spans a wide range of topics, including Annotation, Lncrna gene and Transcriptional regulation.
Runsheng Chen combines subjects such as Chromatin, Promoter, Transcription, Repressor and Cell biology with his study of Long non-coding RNA.
The study incorporates disciplines such as Carcinogenesis, Cell cycle, Epithelial–mesenchymal transition and Bioinformatics in addition to Cancer research.
The various areas that he examines in his Genome study include Evolutionary biology, Transfer RNA, Sequence analysis and Database.
Between 2015 and 2021, his most popular works were:
- NONCODE 2016: an informative and valuable data source of long non-coding RNAs (369 citations)
- NONCODEV5: a comprehensive annotation database for long non-coding RNAs. (215 citations)
- Long noncoding RNA lncKdm2b is required for ILC3 maintenance by initiation of Zfp292 expression (121 citations)
In his most recent research, the most cited papers focused on:
Runsheng Chen focuses on Gene, Non-coding RNA, Genome, Database and Computational biology.
His Gene research is classified as research in Genetics.
His study in Non-coding RNA is interdisciplinary in nature, drawing from both Genome browser and Circular RNA.
His Genome research is multidisciplinary, relying on both Sequence analysis and Genetic variation.
His research investigates the link between Database and topics such as Genomics that cross with problems in Big data.
In his study, Base sequence is strongly linked to Annotation, which falls under the umbrella field of Computational biology.
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