What is he best known for?
The fields of study he is best known for:
Biochemistry, Genetics, Computational biology, Immunology and Ricin are his primary areas of study.
He interconnects Microfluidics, Total analysis system and Biochemical engineering in the investigation of issues within Biochemistry.
His work is connected to Gene, Gene expression and Positional cloning, as a part of Genetics.
His work deals with themes such as Directed evolution, Directed Molecular Evolution and In silico, which intersect with Computational biology.
Philip J. R. Day has included themes like Pneumococcal infections and Virology in his Immunology study.
His Ricin research includes themes of Endoplasmic reticulum, Stereochemistry, Hydrogen bond and Protein folding.
His most cited work include:
- A Physical Map of 30,000 Human Genes (601 citations)
- Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently (223 citations)
- A radiation hybrid map of the rat genome containing 5,255 markers. (220 citations)
What are the main themes of his work throughout his whole career to date?
Philip J. R. Day focuses on Computational biology, Gene, Molecular biology, Biochemistry and Gene expression.
The various areas that Philip J. R. Day examines in his Computational biology study include Genetics, Aptamer, Bioinformatics, Directed evolution and Oligonucleotide.
Particularly relevant to Housekeeping gene is his body of work in Gene.
His Molecular biology research also works with subjects such as
- Real-time polymerase chain reaction, which have a strong connection to Virology,
- Polymerase chain reaction which intersects with area such as Microbiology.
His Microfluidics research extends to Biochemistry, which is thematically connected.
As part of his studies on Gene expression, he often connects relevant subjects like Cancer research.
He most often published in these fields:
- Computational biology (16.02%)
- Gene (16.02%)
- Molecular biology (13.26%)
What were the highlights of his more recent work (between 2015-2021)?
- Transporter (3.87%)
- Gene (16.02%)
- Computational biology (16.02%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Transporter, Gene, Computational biology, Housekeeping gene and Gene expression.
His Gene study deals with the bigger picture of Genetics.
Philip J. R. Day has researched Computational biology in several fields, including Directed evolution and DNA.
His studies deal with areas such as Divergent evolution, Transcriptome, ATP-binding cassette transporter and Gene expression profiling as well as Housekeeping gene.
His Gene expression profiling research is multidisciplinary, relying on both Disease, Pathology and Period.
His Gene expression research includes elements of Cancer research, Downregulation and upregulation, Messenger RNA, microRNA and Inclusion body myositis.
Between 2015 and 2021, his most popular works were:
- GeneGini: Assessment via the Gini Coefficient of Reference "Housekeeping" Genes and Diverse Human Transporter Expression Profiles. (31 citations)
- Transcriptome analysis of human ageing in male skin shows mid-life period of variability and central role of NF-κB (26 citations)
- Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA (24 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Computational biology, Transporter, Pharmacology, Gene and Housekeeping gene.
The Synthetic biology research he does as part of his general Computational biology study is frequently linked to other disciplines of science, such as Combinatorial explosion, therefore creating a link between diverse domains of science.
His Pharmacology study incorporates themes from Metabolite, Neurodegeneration and Pathogenesis.
His work on Divergent evolution, Reference genes, Gene expression and Robustness is typically connected to Gini coefficient as part of general Gene study, connecting several disciplines of science.
Human skin, Ageing and Disease is closely connected to Gene expression profiling in his research, which is encompassed under the umbrella topic of Reference genes.
His Housekeeping gene research integrates issues from Normalization, Selection and ATP-binding cassette transporter.
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.
