What is he best known for?
The fields of study he is best known for:
Hiroki Nishida mostly deals with Cell biology, Embryo, Blastomere, Anatomy and Embryogenesis.
The Cell biology study combines topics in areas such as Genetics, Cleavage and Endoderm.
His Embryo study incorporates themes from Myocyte, Cell and Cell fate determination.
His studies deal with areas such as Precursor cell and Botany as well as Blastomere.
He interconnects Transplantation, Evolutionary biology, Metamorphosis and Fate mapping in the investigation of issues within Anatomy.
His Embryogenesis research integrates issues from Developmental biology and Mesoderm.
His most cited work include:
- Cell lineage analysis in ascidian embryos by intracellular injection of a tracer enzyme: III. Up to the tissue restricted stage (500 citations)
- Cell lineage analysis in ascidian embryos by intracellular injection of a tracer enzyme. I. Up to the eight-cell stage. (317 citations)
- macho-1 encodes a localized mRNA in ascidian eggs that specifies muscle fate during embryogenesis (219 citations)
What are the main themes of his work throughout his whole career to date?
Hiroki Nishida mainly focuses on Cell biology, Embryo, Anatomy, Embryogenesis and Notochord.
His Cell biology study combines topics in areas such as Genetics, Cleavage, Endoderm, Cell division and Cell fate determination.
Hiroki Nishida has researched Embryo in several fields, including Cell, Developmental biology and Molecular biology.
His Anatomy research is multidisciplinary, incorporating elements of Epidermis, Fate mapping, Metamorphosis, Embryonic Induction and Transplantation.
The concepts of his Embryogenesis study are interwoven with issues in Halocynthia and Cell type.
His Notochord study incorporates themes from Brachyury, Mesoderm, Mesenchyme and Transcription factor.
He most often published in these fields:
- Cell biology (69.62%)
- Embryo (48.10%)
- Anatomy (31.65%)
What were the highlights of his more recent work (between 2012-2021)?
- Cell biology (69.62%)
- Gene (12.66%)
- Oikopleura dioica (10.13%)
In recent papers he was focusing on the following fields of study:
Hiroki Nishida spends much of his time researching Cell biology, Gene, Oikopleura dioica, Embryo and Genome.
Hiroki Nishida has researched Cell biology in several fields, including Transcription factor, Cell fate determination, Cell division, Morphogenesis and NODAL.
His study looks at the relationship between Cell fate determination and topics such as Notochord, which overlap with Brachyury and Mesoderm.
His Oikopleura dioica research is multidisciplinary, relying on both Transcriptome, Gene expression, Model organism and Anatomy.
His research investigates the connection with Anatomy and areas like Germinal vesicle which intersect with concerns in Polarity in embryogenesis.
His Embryo research is multidisciplinary, incorporating perspectives in Peripheral nervous system and Meiosis.
Between 2012 and 2021, his most popular works were:
- ANISEED 2017: extending the integrated ascidian database to the exploration and evolutionary comparison of genome-scale datasets. (54 citations)
- ANISEED 2015: a digital framework for the comparative developmental biology of ascidians (53 citations)
- Guidelines for the nomenclature of genetic elements in tunicate genomes (46 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Gene, Genome, Chordate, Genetics and Oikopleura dioica.
In general Gene study, his work on RNA often relates to the realm of Epigenome, thereby connecting several areas of interest.
His Chordate research includes themes of Evolutionary biology, Trunk and Pseudogene.
His Genetics study focuses mostly on Notochord formation, Gene expression, Brachyury, Notochord and Phylum.
His studies in Oikopleura dioica integrate themes in fields like Cell, Cell migration, Multinucleate and Anatomy.
His study focuses on the intersection of Ciona intestinalis and fields such as Model organism with connections in the field of Annotation, Bioinformatics, Gene Annotation and Cell biology.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
