What is he best known for?
The fields of study he is best known for:
- Enzyme
- Gene
- Internal medicine
His primary scientific interests are in Virology, Virus, Influenza A virus subtype H5N1, Influenza A virus and Orthomyxoviridae.
His Virology study combines topics in areas such as Sialic acid, Pandemic and H5N1 genetic structure.
His work carried out in the field of Virus brings together such families of science as Receptor, Glycoconjugate, Protein design and Microbiology.
Yasuo Suzuki studied Influenza A virus subtype H5N1 and Viral protein that intersect with Glycan and Quail.
His work deals with themes such as Gene, Virulence, Viral replication and Avian Influenza A Virus, which intersect with Influenza A virus.
Yasuo Suzuki interconnects Mutation and Reassortant Viruses in the investigation of issues within Orthomyxoviridae.
His most cited work include:
- Experimental adaptation of an influenza H5 HA confers respiratory droplet transmission to a reassortant H5 HA/H1N1 virus in ferrets (1082 citations)
- Avian flu: isolation of drug-resistant H5N1 virus. (661 citations)
- Haemagglutinin mutations responsible for the binding of H5N1 influenza A viruses to human-type receptors (518 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Virology, Virus, Biochemistry, Influenza A virus and Sialic acid.
His Virology course of study focuses on H5N1 genetic structure and Antigenic drift.
The various areas that Yasuo Suzuki examines in his Virus study include Receptor and Microbiology.
Yasuo Suzuki frequently studies issues relating to Glycan and Influenza A virus.
His studies deal with areas such as Molecular biology and Stereochemistry as well as Sialic acid.
His study in Influenza A virus subtype H5N1 is interdisciplinary in nature, drawing from both Pandemic, Reassortment, Genotype and Virulence.
He most often published in these fields:
- Virology (48.72%)
- Virus (44.16%)
- Biochemistry (19.09%)
What were the highlights of his more recent work (between 2013-2021)?
- Virology (48.72%)
- Virus (44.16%)
- Influenza A virus subtype H5N1 (19.09%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Virology, Virus, Influenza A virus subtype H5N1, Influenza A virus and Graphene.
His Virology study combines topics from a wide range of disciplines, such as Pandemic, Genotype and Virulence.
The study incorporates disciplines such as Host and Receptor, Sialic acid, Biochemistry in addition to Virus.
His Influenza A virus subtype H5N1 study also includes
- H5N1 genetic structure and related Antigenic drift,
- Reassortment together with Pathogenicity.
His Influenza A virus research includes themes of Human virome, Outbreak and Polymerase.
He has included themes like Orthomyxoviridae, Viral entry, Zanamivir and Host cell surface in his Neuraminidase study.
Between 2013 and 2021, his most popular works were:
- Genetics, Receptor Binding Property, and Transmissibility in Mammals of Naturally Isolated H9N2 Avian Influenza Viruses (141 citations)
- H7N9 virulent mutants detected in chickens in China pose an increased threat to humans. (102 citations)
- Antigenic and receptor binding properties of Enterovirus 68 (76 citations)
In his most recent research, the most cited papers focused on:
- Enzyme
- Gene
- Internal medicine
His primary areas of study are Virology, Influenza A virus subtype H5N1, Virus, Influenza A virus and Viral replication.
His Virology research integrates issues from Pandemic, H5N1 genetic structure and Genotype.
His Influenza A virus subtype H5N1 research is multidisciplinary, incorporating elements of Maackia amurensis, Glycan and Gene, Virulence.
His study brings together the fields of Sialic acid and Virus.
In his work, Phylogenetics is strongly intertwined with Human virome, which is a subfield of Influenza A virus.
His Neuraminidase research is multidisciplinary, relying on both Neuraminidase inhibitor, Host cell surface, Oseltamivir, Orthomyxoviridae and Zanamivir.
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.
