What is he best known for?
The fields of study he is best known for:
His primary areas of study are Genetics, Gene, Genome, Regulation of gene expression and Human genome.
His Genetics study frequently draws connections to adjacent fields such as Computational biology.
All of his Gene and Promoter and Fantom investigations are sub-components of the entire Gene study.
As part of one scientific family, he deals mainly with the area of Human genome, narrowing it down to issues related to the Genomics, and often Expression quantitative trait loci.
His biological study spans a wide range of topics, including Cellular differentiation and Gene regulatory network.
The various areas that Hideya Kawaji examines in his Transcriptome study include Functional genomics, Expressed sequence tag, DNA and Alternative splicing.
His most cited work include:
- The Transcriptional Landscape of the Mammalian Genome (2876 citations)
- An atlas of active enhancers across human cell types and tissues (1577 citations)
- Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs (1378 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computational biology, Genetics, Gene, Cap analysis gene expression and Transcriptome.
The concepts of his Computational biology study are interwoven with issues in Fantom, RNA, Genome, Transcriptional regulation and Cell type.
His primary area of study in Genome is in the field of Human genome.
His study in Regulation of gene expression, Promoter, Enhancer, Genomics and Gene expression profiling are all subfields of Genetics.
Specifically, his work in Gene is concerned with the study of Gene expression.
His Transcriptome research incorporates elements of Functional annotation and Gene knockdown.
He most often published in these fields:
- Computational biology (35.82%)
- Genetics (38.81%)
- Gene (28.86%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (35.82%)
- Gene expression (16.42%)
- Gene (28.86%)
In recent papers he was focusing on the following fields of study:
Hideya Kawaji spends much of his time researching Computational biology, Gene expression, Gene, Transcriptome and Enhancer.
His Computational biology study integrates concerns from other disciplines, such as Functional annotation, Genome, Promoter, Cap analysis gene expression and Transcription.
He has researched Gene in several fields, including Myocyte and Regenerative medicine.
His Transcriptome study combines topics from a wide range of disciplines, such as Phenotype, Transcription factor, Cohort and Reference genome.
Cell type is the subject of his research, which falls under Genetics.
Hideya Kawaji studies Genetics, focusing on Transcriptional regulation in particular.
Between 2018 and 2021, his most popular works were:
- Update of the FANTOM web resource: expansion to provide additional transcriptome atlases. (56 citations)
- Functional annotation of human long noncoding RNAs via molecular phenotyping (28 citations)
- NET-CAGE characterizes the dynamics and topology of human transcribed cis -regulatory elements (25 citations)
In his most recent research, the most cited papers focused on:
Hideya Kawaji mainly investigates Computational biology, Gene expression, Enhancer, Genome and Transcription.
His Computational biology research integrates issues from RNA and Cap analysis gene expression.
His Gene expression study necessitates a more in-depth grasp of Gene.
His work focuses on many connections between Enhancer and other disciplines, such as Promoter, that overlap with his field of interest in Web resource.
His work carried out in the field of Genome brings together such families of science as Annotation, Transcriptome and Promoter activity.
Phenotype is a subfield of Genetics that he explores.
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