What is he best known for?
The fields of study he is best known for:
Yoshitoshi Ogura mainly focuses on Genetics, Genome, Escherichia coli, Virulence and Gene.
His work in the fields of Horizontal gene transfer, Clade, Phylogenetic tree and Phylogenetics overlaps with other areas such as Parasitism.
His Horizontal gene transfer course of study focuses on Orphan gene and Gut flora.
His Genome research is multidisciplinary, relying on both SNP and Effective population size.
Yoshitoshi Ogura has researched Escherichia coli in several fields, including Gene cluster, Whole genome sequencing and Mobile genetic elements.
His work in Virulence addresses issues such as Plasmid, which are connected to fields such as Microbiology.
His most cited work include:
- Comparative Metagenomics Revealed Commonly Enriched Gene Sets in Human Gut Microbiomes (719 citations)
- Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short reads (701 citations)
- Bile acid is a host factor that regulates the composition of the cecal microbiota in rats (488 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Microbiology, Genome, Escherichia coli and Gene.
His studies in Whole genome sequencing, Phylogenetic tree, Prophage, Mobile genetic elements and Horizontal gene transfer are all subfields of Genetics research.
His research in Phylogenetic tree intersects with topics in Phylogenetics, 16S ribosomal RNA and Antibiotic resistance.
His work carried out in the field of Microbiology brings together such families of science as Bacteria, Vibrionaceae, Vibrio, Virology and Enteropathogenic Escherichia coli.
His Genome research integrates issues from Chromosome and Computational biology.
His study focuses on the intersection of Escherichia coli and fields such as Virulence with connections in the field of Plasmid.
He most often published in these fields:
- Genetics (45.95%)
- Microbiology (43.78%)
- Genome (36.76%)
What were the highlights of his more recent work (between 2019-2021)?
- Microbiology (43.78%)
- Genetics (45.95%)
- Helicobacter pylori (5.95%)
In recent papers he was focusing on the following fields of study:
Yoshitoshi Ogura mainly investigates Microbiology, Genetics, Helicobacter pylori, Virulence and Escherichia coli.
His Microbiology research is multidisciplinary, incorporating elements of Bacterial outer membrane and Flagellum.
DNA methylation, Prophage, Genome, DNA and Mutant are the subjects of his Genetics studies.
His Genome research incorporates themes from Computational biology and Sequence assembly.
His Virulence research includes themes of Plasmid, Lysogenic cycle, Enterotoxin, Diarrhea and Human pathogen.
The study incorporates disciplines such as Bacteria and Phylogenetic tree in addition to Escherichia coli.
Between 2019 and 2021, his most popular works were:
- Differential dynamics and impacts of prophages and plasmids on the pangenome and virulence factor repertoires of Shiga toxin-producing Escherichia coli O145:H28 (11 citations)
- Platanus_B: an accurate de novo assembler for bacterial genomes using an iterative error-removal process. (4 citations)
- Platanus_B: an accurate de novo assembler for bacterial genomes using an iterative error-removal process. (4 citations)
In his most recent research, the most cited papers focused on:
Genome, Virulence, Escherichia coli, Microbiology and Platanus are his primary areas of study.
Genome is a subfield of Gene that Yoshitoshi Ogura studies.
His Virulence study integrates concerns from other disciplines, such as Plasmid, Comparative genomics, Prophage and Heat-labile enterotoxin.
His work deals with themes such as Human pathogen and Diarrhea, which intersect with Escherichia coli.
The concepts of his Microbiology study are interwoven with issues in Secretion, Bacteria, Pathogenic Escherichia coli, Motility and Escherichia albertii.
The various areas that Yoshitoshi Ogura examines in his Bacteria study include Osmotic concentration and Osmotic pressure.
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.
