What is he best known for?
The fields of study he is best known for:
Paul R. Chipman mainly investigates Dengue virus, Virology, Biophysics, Virus and Glycoprotein.
Paul R. Chipman has included themes like Viral envelope, Furin and Cell biology in his Dengue virus study.
His study looks at the intersection of Virology and topics like Protein structure with Bacillus Phage and Prohead.
His Biophysics research is multidisciplinary, relying on both Bacteriophage, Viral protein and Capsid.
Paul R. Chipman combines subjects such as Macromolecule and Outbreak with his study of Virus.
His research investigates the connection between Glycoprotein and topics such as Lipid bilayer that intersect with issues in Membrane protein, Fusion mechanism, Flavivirus, Coiled coil and Alphavirus.
His most cited work include:
- Structure of dengue virus: implications for flavivirus organization, maturation, and fusion. (1198 citations)
- Structure of the Immature Dengue Virus at Low pH Primes Proteolytic Maturation (447 citations)
- Structures of immature flavivirus particles (384 citations)
What are the main themes of his work throughout his whole career to date?
Paul R. Chipman mainly focuses on Capsid, Virology, Biophysics, Virus and Crystallography.
His research in Capsid intersects with topics in Icosahedral symmetry, Parvovirus, Peptide sequence, Protein structure and Gene delivery.
His work focuses on many connections between Virology and other disciplines, such as Epitope, that overlap with his field of interest in Monoclonal antibody.
His Biophysics research includes elements of Bacteriophage, Molecular biology, In vitro and Capsomere.
His study in Virus focuses on Flavivirus and Dengue virus.
His Glycoprotein research includes themes of Lipid bilayer, Membrane protein and Cell biology.
He most often published in these fields:
- Capsid (42.48%)
- Virology (35.40%)
- Biophysics (30.97%)
What were the highlights of his more recent work (between 2014-2021)?
- Capsid (42.48%)
- Virology (35.40%)
- Parvovirus (10.62%)
In recent papers he was focusing on the following fields of study:
Paul R. Chipman mainly focuses on Capsid, Virology, Parvovirus, Viral protein and Gene delivery.
His Capsid research is multidisciplinary, relying on both Adeno-associated virus, Cryo-electron microscopy, Antigenicity, Transduction and Epitope.
His work deals with themes such as Neutralization and Monoclonal antibody, which intersect with Epitope.
His Gene delivery research is multidisciplinary, incorporating elements of Virus and Computational biology.
His studies in Virus integrate themes in fields like Phenotype, Biophysics, Engineered Gene and Genetic enhancement.
Paul R. Chipman has researched Antibody in several fields, including Molecular biology and Antigen.
Between 2014 and 2021, his most popular works were:
- Adeno-Associated Virus Serotype 1 (AAV1)- and AAV5-Antibody Complex Structures Reveal Evolutionary Commonalities in Parvovirus Antigenic Reactivity (39 citations)
- Cryo-electron Microscopy Reconstruction and Stability Studies of the Wild Type and the R432A Variant of Adeno-associated Virus Type 2 Reveal that Capsid Structural Stability Is a Major Factor in Genome Packaging (28 citations)
- Structure of an Enteric Pathogen, Bovine Parvovirus (28 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Virology, Capsid, Viral protein, Parvovirus and Epitope.
As part of his studies on Capsid, Paul R. Chipman often connects relevant areas like Tropism.
His work carried out in the field of Viral protein brings together such families of science as Parvoviridae and Bocaparvovirus.
His biological study deals with issues like Tissue tropism, which deal with fields such as Canine parvovirus and Viral life cycle.
His work investigates the relationship between Epitope and topics such as Adeno-associated virus that intersect with problems in Virus, Transduction and Gene delivery.
His Virus study combines topics from a wide range of disciplines, such as Phenotype, Biophysics and Engineered 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.
