What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Bacillus subtilis, Gene, Genetics, Operon and Genome.
His Bacillus subtilis research is multidisciplinary, incorporating elements of Microarray analysis techniques, Biochemistry, CCPA, Catabolite repression and Repressor.
His study in the fields of Chromatin immunoprecipitation, Chromatin and ChIA-PET under the domain of Gene overlaps with other disciplines such as ChIP-sequencing and ChIP-on-chip.
His work on Regulator gene and Gene density as part of his general Genetics study is frequently connected to Prophage, thereby bridging the divide between different branches of science.
The Operon study which covers Transcription factor that intersects with Amino acid.
His study in Genome is interdisciplinary in nature, drawing from both Response regulator, DNA microarray and Regulon.
His most cited work include:
- The complete genome sequence of the Gram-positive bacterium Bacillus subtilis (3335 citations)
- Essential Bacillus subtilis genes (1150 citations)
- Regulation of fatty acid metabolism in bacteria. (287 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Bacillus subtilis, Operon, Biochemistry, Gene and Genetics.
His Bacillus subtilis research includes elements of Molecular biology, Promoter, Transcription, Repressor and Catabolite repression.
His study on Operon also encompasses disciplines like
- Regulation of gene expression, which have a strong connection to Sigma factor,
- Consensus sequence, which have a strong connection to Psychological repression.
His lac operon, Amino acid, Escherichia coli and Catabolism study in the realm of Biochemistry connects with subjects such as Inositol.
His work in Gene is not limited to one particular discipline; it also encompasses Microbiology.
His research in Genome intersects with topics in Response regulator, DNA sequencing and Gene expression profiling.
He most often published in these fields:
- Bacillus subtilis (86.81%)
- Operon (59.34%)
- Biochemistry (52.75%)
What were the highlights of his more recent work (between 2007-2017)?
- Bacillus subtilis (86.81%)
- Biochemistry (52.75%)
- Operon (59.34%)
In recent papers he was focusing on the following fields of study:
Bacillus subtilis, Biochemistry, Operon, Transcription and Repressor are his primary areas of study.
The study incorporates disciplines such as lac operon, Transcriptional regulation, CCPA, Catabolite repression and Gene in addition to Bacillus subtilis.
Yasutaro Fujita works in the field of Gene, focusing on Metabolic pathway in particular.
His Biochemistry research focuses on Genetics and how it connects with Protease.
The Operon study combines topics in areas such as Catabolism, Regulation of gene expression, Stereochemistry and Biosynthesis.
His biological study spans a wide range of topics, including Derepression and Regulon.
Between 2007 and 2017, his most popular works were:
- Carbon Catabolite Control of the Metabolic Network in Bacillus subtilis (216 citations)
- myo-Inositol Catabolism in Bacillus subtilis (89 citations)
- Molecular Mechanisms Underlying the Positive Stringent Response of the Bacillus subtilis ilv-leu Operon, Involved in the Biosynthesis of Branched-Chain Amino Acids (38 citations)
In his most recent research, the most cited papers focused on:
Yasutaro Fujita spends much of his time researching Operon, Bacillus subtilis, Biochemistry, Gene and Transcription.
He interconnects Catabolism, Hydrolysis, Stereochemistry and Aldolase A in the investigation of issues within Operon.
His Catabolism research incorporates themes from Glycerol kinase, PEP group translocation, CCPA, Catabolite repression and Citric acid cycle.
The various areas that he examines in his Bacillus subtilis study include Dihydroxyacetone phosphate, Enzyme, Guanosine triphosphate and lac operon.
The concepts of his lac operon study are interwoven with issues in Guanosine, Promoter, Kinase and Biosynthesis.
His studies link Molecular biology with Gene.
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.
