What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Cornea
His main research concerns Cornea, Cell biology, Ophthalmology, Confocal microscopy and Myofibroblast.
The concepts of his Cornea study are interwoven with issues in Wound healing, Epithelium, Biomedical engineering and Anatomy.
His Cell biology research integrates issues from Immunology and Cellular differentiation.
James V. Jester has included themes like Preclinical imaging, Stromal cell and Surgery in his Ophthalmology study.
His study in Confocal microscopy is interdisciplinary in nature, drawing from both Confocal, Contact lens, Desquamation and Microscopy.
James V. Jester interconnects Autocrine signalling, Growth factor, Platelet-derived growth factor receptor, Corneal keratocyte and Extracellular matrix in the investigation of issues within Myofibroblast.
His most cited work include:
- Corneal stromal wound healing in refractive surgery: the role of myofibroblasts. (386 citations)
- The cellular basis of corneal transparency: evidence for 'corneal crystallins' (382 citations)
- Induction of alpha-smooth muscle actin expression and myofibroblast transformation in cultured corneal keratocytes. (283 citations)
What are the main themes of his work throughout his whole career to date?
James V. Jester mostly deals with Cornea, Pathology, Cell biology, Ophthalmology and Anatomy.
James V. Jester combines subjects such as Confocal microscopy, Epithelium, Contact lens and Biomedical engineering with his study of Cornea.
His research in Confocal microscopy tackles topics such as Confocal which are related to areas like Microscope.
In his research, Endocrinology and Internal medicine is intimately related to Meibomian gland, which falls under the overarching field of Pathology.
His Cell biology research focuses on Myofibroblast and how it relates to Actin and Corneal keratocyte.
James V. Jester frequently studies issues relating to Surgery and Ophthalmology.
He most often published in these fields:
- Cornea (35.96%)
- Pathology (22.98%)
- Cell biology (21.49%)
What were the highlights of his more recent work (between 2013-2021)?
- Cornea (35.96%)
- Cell biology (21.49%)
- Meibomian gland (9.15%)
In recent papers he was focusing on the following fields of study:
His main research concerns Cornea, Cell biology, Meibomian gland, Pathology and Biomedical engineering.
His Cornea research is multidisciplinary, relying on both Epithelium, Stromal cell and Stroma.
His Cell biology research integrates issues from Embryonic stem cell, Cell and Morphogenesis.
He has included themes like Internal medicine, Endocrinology and Lipid metabolism in his Meibomian gland study.
His Pathology research includes elements of Immunofluorescence, Inflammation and Ocular surface, Meibomian gland dysfunction.
His studies deal with areas such as Organ culture and Lens as well as Corneal epithelium.
Between 2013 and 2021, his most popular works were:
- Elastic modulus and collagen organization of the rabbit cornea: epithelium to endothelium. (68 citations)
- Effect of desiccating stress on mouse meibomian gland function. (43 citations)
- TRPA1 is required for TGF-β signaling and its loss blocks inflammatory fibrosis in mouse corneal stroma. (42 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Biochemistry
James V. Jester focuses on Cornea, Pathology, Meibomian gland, Epithelium and Biomedical engineering.
His study in Cornea is interdisciplinary in nature, drawing from both Autofluorescence, Lamellar structure and Anatomy.
His research in Pathology intersects with topics in Inflammation, Immune system and Immunofluorescence.
His work carried out in the field of Meibomian gland brings together such families of science as Duct and Internal medicine, Endocrinology, Lipid metabolism.
His work on Corneal epithelium is typically connected to Trigeminal ganglion as part of general Epithelium study, connecting several disciplines of science.
His studies in Biomedical engineering integrate themes in fields like Lumican, Biophysics, In vitro and Elastic modulus.
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.
