What is he best known for?
The fields of study he is best known for:
Influenza A virus, Virology, Virus, Orthomyxoviridae and Cell biology are his primary areas of study.
The Influenza A virus study combines topics in areas such as Open reading frame and Interferon.
Nucleic acid sequence is closely connected to RNA in his research, which is encompassed under the umbrella topic of Virology.
His Virus study combines topics from a wide range of disciplines, such as Molecular biology, Antibody, Monoclonal antibody and Immunity.
Paul Digard has included themes like Innate immune system, Immune system, Viral shedding and Pathology in his Orthomyxoviridae study.
Paul Digard interconnects Microfilament and Green fluorescent protein in the investigation of issues within Cell biology.
His most cited work include:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- IFITM3 restricts the morbidity and mortality associated with influenza (514 citations)
- Characterization of an efficient coronavirus ribosomal frameshifting signal: requirement for an RNA pseudoknot. (504 citations)
What are the main themes of his work throughout his whole career to date?
Paul Digard spends much of his time researching Virology, Influenza A virus, Virus, Viral replication and Molecular biology.
His research integrates issues of RNA and Gene in his study of Virology.
His study focuses on the intersection of RNA and fields such as Transcription with connections in the field of RNA-binding protein.
His study looks at the relationship between Influenza A virus and topics such as Cell biology, which overlap with Lipid raft.
The various areas that he examines in his Virus study include Mutation, Frameshift mutation, Mutant and Virulence.
Paul Digard has researched Molecular biology in several fields, including Ribonucleoprotein, Polymerase, Herpes simplex virus and DNA polymerase.
He most often published in these fields:
- Virology (65.24%)
- Influenza A virus (49.39%)
- Virus (40.24%)
What were the highlights of his more recent work (between 2017-2021)?
- Virology (65.24%)
- Virus (40.24%)
- Influenza A virus (49.39%)
In recent papers he was focusing on the following fields of study:
Paul Digard focuses on Virology, Virus, Influenza A virus, Gene and Virus transmission.
His Virology research is multidisciplinary, incorporating perspectives in Virulence factor and Virulence.
His studies deal with areas such as Recombinant DNA, Single-chain variable fragment, Mutant, Antigen and Start codon as well as Virus.
His research on Antigen also deals with topics like
- Transcription together with Vaccine virus,
- Reverse genetics which is related to area like Computational biology.
His Influenza A virus research includes elements of Embryonated, Viral entry, Host, SnRNA transcription and Innate immune system.
His work in the fields of Gene, such as Genome, overlaps with other areas such as Genome-wide association study and Cellular localization.
Between 2017 and 2021, his most popular works were:
- Genome-wide CRISPR screen identifies host dependency factors for influenza A virus infection (37 citations)
- A Brief History of Bird Flu (35 citations)
- Face Coverings, Aerosol Dispersion and Mitigation of Virus Transmission Risk (23 citations)
In his most recent research, the most cited papers focused on:
Paul Digard spends much of his time researching Influenza A virus, Virus, Virology, Gene and Cell biology.
Paul Digard works mostly in the field of Influenza A virus, limiting it down to topics relating to Influenza A virus subtype H5N1 and, in certain cases, Viral phylodynamics and Outbreak, as a part of the same area of interest.
His study in Virus is interdisciplinary in nature, drawing from both Start codon, Host and Phylogenetics.
His study in Viral replication, Neuraminidase, Hemagglutinin, Virus antigen and Nucleoprotein is carried out as part of his studies in Virology.
His Gene study is concerned with Genetics in general.
His Cell biology study combines topics in areas such as Messenger RNA and TRIM25.
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.
