D-Index & Metrics Best Publications

Philip J. R. Day

University of Manchester
United Kingdom

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Biology and Biochemistry D-index 54 Citations 7,415 160 World Ranking 11296 National Ranking 883

Overview

What is he best known for?

The fields of study Philip J. R. Day is best known for:

Gene
Enzyme
Bacteria

Proteases and Cathepsin are inherently bound to his Enzyme studies. In his works, he conducts interdisciplinary research on Proteases and Enzyme. Genetics is closely attributed to Sequence (biology) in his study. He performs multidisciplinary study on Gene and In silico in his works. He carries out multidisciplinary research, doing studies in Biochemistry and Biological system. Biological system and Biochemistry are two areas of study in which he engages in interdisciplinary research. Philip J. R. Day performs integrative study on Computational biology and Gene in his works. His work in Gene expression is not limited to one particular discipline; it also encompasses MMP1. His MMP1 study frequently links to related topics such as Gene expression.

His most cited work include:

Determining the charge distribution in BEDT-TTF salts (306 citations)
A radiation hybrid map of the rat genome containing 5,255 markers (227 citations)
Total nucleic acid analysis integrated on microfluidic devices (164 citations)

What are the main themes of his work throughout his whole career to date

Philip J. R. Day combines Genetics and Nucleic acid in his studies. Philip J. R. Day integrates several fields in his works, including Gene and Real-time polymerase chain reaction. In his papers, he integrates diverse fields, such as Biochemistry and Chromatography. Philip J. R. Day performs multidisciplinary study in the fields of Chromatography and Biochemistry via his papers. He merges Computational biology with DNA in his study. Philip J. R. Day performs integrative study on DNA and Computational biology in his works. Philip J. R. Day incorporates Gene expression and Molecular biology in his studies. Philip J. R. Day integrates Molecular biology with Gene expression in his research. He integrates Pathology and Internal medicine in his research.

Philip J. R. Day most often published in these fields:

Genetics (63.46%)
Gene (59.62%)
Biochemistry (36.54%)

What were the highlights of his more recent work (between 2013-2021)?

Genetics (66.67%)
Immunology (50.00%)
Cancer research (50.00%)

In recent works Philip J. R. Day was focusing on the following fields of study:

Philip J. R. Day performs multidisciplinary study in the fields of Genetics and Phenotype via his papers. In his works, Philip J. R. Day performs multidisciplinary study on Phenotype and Gene. In his research, Philip J. R. Day performs multidisciplinary study on Gene and Messenger RNA. His Genetics research extends to Messenger RNA, which is thematically connected. His Immunology study frequently draws connections to other fields, such as Pathogenesis. His research on Pathogenesis often connects related topics like Immunology. Cancer research is often connected to Myeloid leukemia in his work. Philip J. R. Day performs multidisciplinary study on Myeloid leukemia and Leukemia in his works. Philip J. R. Day undertakes multidisciplinary investigations into Leukemia and Cancer research in his work.

Between 2013 and 2021, his most popular works were:

Viral Involvement in Alzheimer’s Disease (25 citations)
Endoplasmic reticulum chaperone prolyl 4-hydroxylase, beta polypeptide (P4HB) promotes malignant phenotypes in glioma via MAPK signaling (18 citations)
Peripheral blood RNA gene expression in children with pneumococcal meningitis: a prospective case–control study (17 citations)

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.

Best Publications

A Physical Map of 30,000 Human Genes

P. Deloukas;G. D. Schuler;G. Gyapay;E. M. Beasley.
Science (1998)

828 Citations

Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently

Andrew Currin;Neil Swainston;Philip J. Day;Douglas B. Kell.
Chemical Society Reviews (2015)

301 Citations

Miniaturised nucleic acid analysis

P.-A. Auroux;Y. Koc;A. deMello;A. Manz.
Lab on a Chip (2004)

299 Citations

Exploring the role of stem cells in cutaneous wound healing.

Katherine Lau;Ralf Paus;Stephan Tiede;Philip Day.
Experimental Dermatology (2009)

276 Citations

The need for transparency and good practices in the qPCR literature

Stephen A. Bustin;Vladimir Benes;Jeremy A. Garson;Jan Hellemans.
Nature Methods (2013)

276 Citations

A radiation hybrid map of the rat genome containing 5,255 markers.

Takeshi K. Watanabe;Marie Therese Bihoreau;Linda C. McCarthy;Susanna L. Kiguwa.
Nature Genetics (1999)

275 Citations

Total nucleic acid analysis integrated on microfluidic devices

Lin Chen;Andreas Manz;Philip J. R. Day;Philip J. R. Day.
Lab on a Chip (2007)

235 Citations

The low lysine content of ricin A chain reduces the risk of proteolytic degradation after translocation from the endoplasmic reticulum to the cytosol.

Emma D. Deeks;Jonathan P. Cook;Philip J. Day;Daniel C. Smith.
Biochemistry (2002)

184 Citations

Polymerase chain reaction for detection of human cytomegalovirus infection in a blood donor population

I. S. Bevan;R. A. Daw;P. J. R. Day;F. A. Ala.
British Journal of Haematology (1991)

149 Citations

Ribosome-mediated folding of partially unfolded ricin A-chain.

Richard H. Argent;Andrew M. Parrott;Philip J. Day;Lynne M. Roberts.
Journal of Biological Chemistry (2000)

142 Citations

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