What is he best known for?
The fields of study he is best known for:
Roy A. Quinlan mainly investigates Intermediate filament, Cell biology, Molecular biology, Biochemistry and Cytoskeleton.
Roy A. Quinlan combines subjects such as Chaperone and Circular dichroism with his study of Intermediate filament.
His Cell biology study combines topics from a wide range of disciplines, such as Heat shock protein, Cellular differentiation, Protein filament and Lens protein.
Roy A. Quinlan has researched Molecular biology in several fields, including Lamin, Lens Fiber, Peptide sequence, Cell nucleus and Human skin.
His work in the fields of Biochemistry, such as Hsp27, Protein aggregation, ASK1 and MAP kinase kinase kinase, intersects with other areas such as Cytosol.
The study incorporates disciplines such as Gel electrophoresis and Lens in addition to Cytoskeleton.
His most cited work include:
- Chaperone activity of alpha-crystallins modulates intermediate filament assembly. (388 citations)
- Patterns of Expression and Organization of Cytokeratin Intermediate Filaments (376 citations)
- Intermediate filament interactions can be altered by HSP27 and alphaB-crystallin (327 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Cell biology, Intermediate filament, Molecular biology, Lens and Cytoskeleton.
His study looks at the intersection of Cell biology and topics like Nuclear lamina with Chromatin.
As a member of one scientific family, Roy A. Quinlan mostly works in the field of Intermediate filament, focusing on Chaperone and, on occasion, Protein aggregation.
His work carried out in the field of Molecular biology brings together such families of science as Lamin, Plasma protein binding, Mutant, Transfection and Desmin.
His Lens research includes elements of Cataracts, BFSP2, Crystallin and Anatomy.
His research integrates issues of Mutation and Actin in his study of Cytoskeleton.
He most often published in these fields:
- Cell biology (40.19%)
- Intermediate filament (28.04%)
- Molecular biology (20.09%)
What were the highlights of his more recent work (between 2011-2021)?
- Cell biology (40.19%)
- Lens (19.63%)
- Intermediate filament (28.04%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Cell biology, Lens, Intermediate filament, Eye lens and Cataracts.
The concepts of his Cell biology study are interwoven with issues in Heat shock protein, Molecular biology, Desmin and Cytoskeleton.
His biological study spans a wide range of topics, including Mechanotransduction, Nuclear lamina and Myristoylation.
His Lens research includes themes of Crystallin, Anatomy and Regeneration.
In general Intermediate filament, his work in BFSP2 is often linked to SILK linking many areas of study.
His BFSP2 course of study focuses on Protein filament and Gene.
Between 2011 and 2021, his most popular works were:
- The Growing World of Small Heat Shock Proteins: From Structure to Functions (94 citations)
- Ionizing radiation induced cataracts: Recent biological and mechanistic developments and perspectives for future research. (64 citations)
- The specificity of the interaction between αB-crystallin and desmin filaments and its impact on filament aggregation and cell viability. (32 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Cell biology, Cataracts, Eye lens, Lens and Crystallin.
His studies deal with areas such as Mutation, Intermediate filament, Molecular biology, Protein structure and Hsp27 as well as Cell biology.
Intermediate filament is a subfield of Cytoskeleton that Roy A. Quinlan tackles.
His Cataracts study combines topics in areas such as Optometry, Cataractous lens and Drug treatment.
His Lens Fiber study, which is part of a larger body of work in Lens, is frequently linked to Perlecan, bridging the gap between disciplines.
The various areas that Roy A. Quinlan examines in his Crystallin study include Crystallography and Chaperone.
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.
