What is he best known for?
The fields of study he is best known for:
- Gene
- Enzyme
- Internal medicine
Allen Taylor spends much of his time researching Biochemistry, Ubiquitin, Oxidative stress, Proteolysis and Ubiquitin-conjugating enzyme.
Biochemistry and Cell biology are frequently intertwined in his study.
Allen Taylor has included themes like Senescence, Downregulation and upregulation and Lysosome in his Ubiquitin study.
His work carried out in the field of Oxidative stress brings together such families of science as Glutathione, Intracellular and Ubiquitin-activating enzyme.
His studies examine the connections between Proteolysis and genetics, as well as such issues in Plasma protein binding, with regards to In vivo, Cortex, Cytosol and Lens.
His Programmed cell death research integrates issues from Autophagosome, Autolysosome, Chaperone-mediated autophagy, MAP1LC3B and Sequestosome 1.
His most cited work include:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- Aminopeptidases: structure and function. (426 citations)
- Ubiquitin-proteasome pathway and cellular responses to oxidative stress. (253 citations)
What are the main themes of his work throughout his whole career to date?
Allen Taylor mainly investigates Cell biology, Biochemistry, Ubiquitin, Internal medicine and Proteasome.
Allen Taylor interconnects Cell cycle, Mutant and Lens in the investigation of issues within Cell biology.
His Biochemistry study focuses mostly on Proteolysis, Oxidative stress, Crystallin, Lens protein and Aminopeptidase.
His research in Ubiquitin intersects with topics in Function and Enzyme.
Allen Taylor has researched Internal medicine in several fields, including Endocrinology, Surgery, Macular degeneration and Glycemic index.
His research integrates issues of Prospective cohort study and Physiology in his study of Macular degeneration.
He most often published in these fields:
- Cell biology (35.00%)
- Biochemistry (25.31%)
- Ubiquitin (23.12%)
What were the highlights of his more recent work (between 2013-2021)?
- Macular degeneration (16.87%)
- Cell biology (35.00%)
- Age related (6.88%)
In recent papers he was focusing on the following fields of study:
His main research concerns Macular degeneration, Cell biology, Age related, Physiology and Ubiquitin.
The various areas that Allen Taylor examines in his Macular degeneration study include Internal medicine, Epidemiology, Prospective cohort study and Confidence interval.
His Cell biology research incorporates elements of Cell cycle and Lens Fiber, Lens.
His studies in Physiology integrate themes in fields like Microbiome, Metabolome and Diabetes mellitus.
The study incorporates disciplines such as Mutant, Lens protein and Proteasome in addition to Ubiquitin.
The subject of his Lens protein research is within the realm of Biochemistry.
Between 2013 and 2021, his most popular works were:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- Involvement of a gut–retina axis in protection against dietary glycemia-induced age-related macular degeneration (76 citations)
- Nutritional modulation of cataract (63 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Enzyme
- Internal medicine
Allen Taylor mainly focuses on Cell biology, Macular degeneration, Lamin, Mitosis and Confidence interval.
The concepts of his Cell biology study are interwoven with issues in Vimentin, Calpain, Biochemistry and Eye development.
His biological study spans a wide range of topics, including Diabetic retinopathy, Glycemic index, Glycation and Internal medicine, Disease.
His Mitosis research is multidisciplinary, incorporating elements of Molecular biology, Cell cycle, Phosphorylation, Unfolded protein response and Ubiquitin ligase.
His studies deal with areas such as Odds ratio, Food group, Cross-sectional study, Generalized estimating equation and Refined grains as well as Confidence interval.
His Physiology research includes themes of BECN1, Autophagosome, MAP1LC3B, Sequestosome 1 and Computational biology.
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