What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Molecular biology, Biochemistry, DNA, Gene and Biophysics.
His research integrates issues of Gene expression, Southern blot, Complementary DNA, Messenger RNA and Cell biology in his study of Molecular biology.
The various areas that Norman Davidson examines in his DNA study include Crystallography, Ionic strength, Stereochemistry and Analytical chemistry.
His Gene study is concerned with Genetics in general.
The concepts of his Biophysics study are interwoven with issues in Xenopus, Cystic fibrosis transmembrane conductance regulator and Transmembrane domain.
His Xenopus study combines topics from a wide range of disciplines, such as RNA and G alpha subunit.
His most cited work include:
- Kinetics of renaturation of DNA. (1233 citations)
- [31] Electron microscope heteroduplex methods for mapping regions of base sequence homology in nucleic acids (1225 citations)
- Methylmercury as a reversible denaturing agent for agarose gel electrophoresis. (966 citations)
What are the main themes of his work throughout his whole career to date?
Norman Davidson mainly focuses on Molecular biology, DNA, Gene, Biochemistry and RNA.
His Molecular biology study also includes fields such as
- Plasmid together with Escherichia coli,
- Complementary DNA and related Peptide sequence.
The DNA study combines topics in areas such as Crystallography, Denaturation and Homology.
His Gene study is associated with Genetics.
His Biochemistry research focuses on subjects like Biophysics, which are linked to Xenopus, Ion channel and Electrophysiology.
His RNA research incorporates elements of Messenger RNA and Transcription.
He most often published in these fields:
- Molecular biology (40.85%)
- DNA (25.20%)
- Gene (20.95%)
What were the highlights of his more recent work (between 1993-2011)?
- Biochemistry (16.45%)
- G protein (8.22%)
- Inward-rectifier potassium ion channel (5.04%)
In recent papers he was focusing on the following fields of study:
Biochemistry, G protein, Inward-rectifier potassium ion channel, Cell biology and Biophysics are his primary areas of study.
His G protein research incorporates themes from Protein subunit, Nucleotide and Potassium channel.
His Cell biology research includes themes of Endocrinology, Mutant, Molecular biology, Receptor and Neuroscience.
Norman Davidson has included themes like EGR1, Gene, Green fluorescent protein and Heterologous expression in his Molecular biology study.
His Gene research includes elements of DNA and Endosome.
His studies deal with areas such as Xenopus and GABA Plasma Membrane Transport Proteins as well as Biophysics.
Between 1993 and 2011, his most popular works were:
- The inward rectifier potassium channel family. (387 citations)
- Retinal ganglion cells do not extend axons by default: promotion by neurotrophic signaling and electrical activity. (375 citations)
- RGS proteins reconstitute the rapid gating kinetics of Gβγ-activated inwardly rectifying K+ channels (314 citations)
In his most recent research, the most cited papers focused on:
Norman Davidson mostly deals with Cell biology, Biochemistry, Transporter, Biophysics and Transmembrane domain.
Norman Davidson has researched Cell biology in several fields, including Postsynaptic potential, Long-term potentiation, Molecular biology, Ligand-gated ion channel and Inward-rectifier potassium ion channel.
His study in Molecular biology is interdisciplinary in nature, drawing from both Glutamate receptor, Membrane potential and Green fluorescent protein.
His study in Xenopus, GABA transporter, GABA Plasma Membrane Transport Proteins, Protein kinase C and Amino acid are all subfields of Biochemistry.
Norman Davidson combines subjects such as GABA transporter 1 and Permeation with his study of Biophysics.
In his research, Alpha helix, Drosophila Protein, 5-HT receptor, Cystic fibrosis transmembrane conductance regulator and Monoamine neurotransmitter is intimately related to Peptide sequence, which falls under the overarching field of Transmembrane domain.
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.
