What is he best known for?
The fields of study he is best known for:
His primary areas of study are Virology, Virus, Immunology, Antibody and Viral replication.
His study in Virology is interdisciplinary in nature, drawing from both Immunization and Immunogenicity.
His studies deal with areas such as Vaccinia, Recombinant virus and Mutant as well as Virus.
As a member of one scientific family, he mostly works in the field of Immunology, focusing on Respiratory tract and, on occasion, Pneumonitis and African Green Monkey.
In his work, Pulmonary pathology is strongly intertwined with Antigen, which is a subfield of Antibody.
Brian R. Murphy works mostly in the field of Viral replication, limiting it down to concerns involving Gene and, occasionally, Molecular biology.
His most cited work include:
- A single amino acid in the PB2 gene of influenza A virus is a determinant of host range. (719 citations)
- An efficient method to make human monoclonal antibodies from memory B cells: potent neutralization of SARS coronavirus (627 citations)
- A DNA vaccine induces SARS coronavirus neutralization and protective immunity in mice (543 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Virology, Virus, Immunology, Influenza A virus and Viral replication.
The Virology study combines topics in areas such as Antibody, Immunogenicity, Mutant and Recombinant DNA.
Brian R. Murphy has included themes like Antigen, Immune system and Glycoprotein in his Antibody study.
His research investigates the connection between Virus and topics such as Recombinant virus that intersect with problems in Orthopoxvirus.
His Influenza A virus research focuses on subjects like Hemagglutinin, which are linked to Neuraminidase.
The Viral replication study which covers Flavivirus that intersects with Dengue fever.
He most often published in these fields:
- Virology (86.85%)
- Virus (68.51%)
- Immunology (23.88%)
What were the highlights of his more recent work (between 2006-2021)?
- Virology (86.85%)
- Virus (68.51%)
- Immunology (23.88%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Virology, Virus, Immunology, Dengue virus and Viral replication.
His biological study spans a wide range of topics, including Attenuated vaccine and Immunogenicity.
His study in Paramyxoviridae, Mononegavirales, Human Parainfluenza Virus, Orthomyxoviridae and Ebola virus is carried out as part of his studies in Virus.
His Dengue virus research is multidisciplinary, incorporating elements of Vero cell, Viremia and Untranslated region.
His Viral replication research integrates issues from Mutation, Encephalitis and Mutant.
His Neutralizing antibody research incorporates elements of Titer and Seroconversion.
Between 2006 and 2021, his most popular works were:
- Prospects for a dengue virus vaccine. (477 citations)
- Successful Topical Respiratory Tract Immunization of Primates against Ebola Virus (130 citations)
- The absence of enhanced disease with wild type respiratory syncytial virus infection occurring after receipt of live, attenuated, respiratory syncytial virus vaccines. (117 citations)
In his most recent research, the most cited papers focused on:
Brian R. Murphy spends much of his time researching Virology, Virus, Immunology, Neutralizing antibody and Dengue virus.
His work deals with themes such as Antibody and Immunogenicity, which intersect with Virology.
His work investigates the relationship between Antibody and topics such as Glycoprotein that intersect with problems in Recombinant DNA, Neutralization, Antigen, Fc receptor and VP40.
His study looks at the relationship between Virus and fields such as Immunity, as well as how they intersect with chemical problems.
His Viral replication research focuses on Encephalitis and how it relates to Attenuated vaccine and Infectivity.
His Orthomyxoviridae study which covers Influenza A virus subtype H5N1 that intersects with DNA vaccination, Hemagglutinin and Viral Vaccine.
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.
