Yue-Qin Chen

What is he best known for?

The fields of study he is best known for:

• Gene
• DNA
• Gene expression

Yue-Qin Chen spends much of his time researching microRNA, RNA, Gene expression profiling, Gene and Genetics. His microRNA research incorporates themes from Gene expression, Plant metabolism, Agronomy, Genome and Leukemia. His RNA study integrates concerns from other disciplines, such as Regulation of gene expression, Deep sequencing and Bioinformatics.

Yue-Qin Chen interconnects Long non-coding RNA and Cell biology in the investigation of issues within Regulation of gene expression. In his research, Yue-Qin Chen performs multidisciplinary study on Gene and Database. His research in Genetics is mostly concerned with Oryza sativa.

His most cited work include:

• starBase: a database for exploring microRNA–mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data (547 citations)
• Genome-wide screening and functional analysis identify a large number of long noncoding RNAs involved in the sexual reproduction of rice (301 citations)
• Long non-coding RNA: a new player in cancer (275 citations)

What are the main themes of his work throughout his whole career to date?

MicroRNA, Gene, Genetics, RNA and Cancer research are his primary areas of study. His biological study spans a wide range of topics, including Bioinformatics, Gene expression profiling, Internal medicine, Signal transduction and Computational biology. Yue-Qin Chen has researched Gene in several fields, including Botany and Cell biology.

The concepts of his RNA study are interwoven with issues in Regulation of gene expression and Genome. His Regulation of gene expression research integrates issues from Meristem, Long non-coding RNA and Callus. The study incorporates disciplines such as Inflammation, Leukemia, Immunology and Cell in addition to Cancer research.

He most often published in these fields:

• microRNA (39.18%)
• Gene (34.02%)
• Genetics (25.77%)

What were the highlights of his more recent work (between 2018-2021)?

• RNA (22.68%)
• Cell biology (17.53%)
• Gene (34.02%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include RNA, Cell biology, Gene, Cancer research and Leukemia. His study with RNA involves better knowledge in Genetics. His studies deal with areas such as RNA methylation, Arabidopsis and Ubiquitin ligase as well as Cell biology.

His Gene study frequently draws parallels with other fields, such as Pollen wall. His Cancer research research includes themes of Mutation, Translational regulation, DOT1L and Gene knockdown. His microRNA study combines topics from a wide range of disciplines, such as Arabidopsis thaliana, Protein subunit, Period and Circadian clock, Circadian rhythm.

Between 2018 and 2021, his most popular works were:

• Noncoding RNAs in cancer therapy resistance and targeted drug development (68 citations)
• CircMYBL2, a circRNA from MYBL2, Regulates FLT3 Translation by Recruiting PTBP1 to Promote FLT3-ITD AML Progression (42 citations)
• Plant Noncoding RNAs: Hidden Players in Development and Stress Responses. (33 citations)

In his most recent research, the most cited papers focused on:

• Gene
• DNA
• Gene expression

The scientist’s investigation covers issues in RNA, Regulation of gene expression, Cell biology, Gene knockdown and Computational biology. His RNA study is concerned with Gene in general. His Gene study is concerned with the larger field of Genetics.

His Regulation of gene expression research includes elements of RNA methylation, N6-Methyladenosine, Methylation, RNA splicing and Microspore. His research in Gene knockdown intersects with topics in Cancer research, Myeloid leukemia, Translational regulation, Mutation and Signal transduction. His Computational biology research incorporates elements of Cancer, Transcriptome, Fight-or-flight response, microRNA and Plant development.