What is he best known for?
The fields of study he is best known for:
John Parkinson mainly investigates Genetics, Genome, Stereochemistry, Biochemistry and Nuclear magnetic resonance spectroscopy.
His study in Gene, Conserved sequence, Expressed sequence tag, Toxoplasma gondii and Virulence falls under the purview of Genetics.
His research in Genome intersects with topics in Evolutionary biology and Phylogenetics.
His Stereochemistry research incorporates elements of Crystallography, Cysteine, Oligonucleotide and Dissociation constant.
His work carried out in the field of Nuclear magnetic resonance spectroscopy brings together such families of science as Ruthenium, Molecular recognition, Adduct, Hydrogen bond and Ethylenediamine.
The Escherichia coli study combines topics in areas such as Interaction network, Open reading frame and Mutant.
His most cited work include:
- Global landscape of protein complexes in the yeast Saccharomyces cerevisiae (2539 citations)
- Interaction network containing conserved and essential protein complexes in Escherichia coli (1008 citations)
- Interaction network containing conserved and essential protein complexes in Escherichia coli (1008 citations)
What are the main themes of his work throughout his whole career to date?
John Parkinson focuses on Stereochemistry, Computational biology, Genetics, Nuclear magnetic resonance spectroscopy and DNA.
His research investigates the link between Stereochemistry and topics such as Adduct that cross with problems in Platinum.
His Computational biology study combines topics from a wide range of disciplines, such as Microbiome, Bioinformatics, Sequence and Metabolic pathway.
His Genetics research focuses on Genome, Gene, Expressed sequence tag, Conserved sequence and Phylogenetics.
His primary area of study in Genome is in the field of Genomics.
He studies Duplex, a branch of DNA.
He most often published in these fields:
- Stereochemistry (19.14%)
- Computational biology (18.87%)
- Genetics (15.36%)
What were the highlights of his more recent work (between 2013-2021)?
- Computational biology (18.87%)
- Microbiome (5.39%)
- Gene (11.05%)
In recent papers he was focusing on the following fields of study:
Computational biology, Microbiome, Gene, Genetics and Genome are his primary areas of study.
The various areas that he examines in his Computational biology study include Bioinformatics, Transcriptome, Multicellular organism, Identification and Metabolic pathway.
The concepts of his Microbiome study are interwoven with issues in 18S ribosomal RNA, Gene expression, Microbiology and Enzyme.
His study in Telomere, Transcription Factor TFIIIA, Zinc finger, Transcription factor and Subtelomere falls within the category of Genetics.
His work in the fields of Genome, such as Genomics, intersects with other areas such as Modularity.
As a part of the same scientific family, he mostly works in the field of Operon, focusing on Biofilm matrix and, on occasion, Biochemistry.
Between 2013 and 2021, his most popular works were:
- Panorama of ancient metazoan macromolecular complexes (310 citations)
- Local admixture of amplified and diversified secreted pathogenesis determinants shapes mosaic Toxoplasma gondii genomes (137 citations)
- Chemogenetic Interrogation of a Brain-wide Fear Memory Network in Mice (111 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Genome, Genetics, Gene, Computational biology and Biochemistry.
His Genome study combines topics in areas such as Systems biology, Bioinformatics, Proteomics and Virulence.
His Genetics study is mostly concerned with Phylogenetics, Eimeria, Escherichia coli, Genetic screen and Protein–protein interaction.
His study in the field of Gene family also crosses realms of Eye regeneration, Planaria, Lophotrochozoa and Schmidtea mediterranea.
His studies deal with areas such as Comparative genomics and Metagenomics as well as Computational biology.
His work on Interactome, Periplasmic space, Secretion and Bacterial outer membrane as part of general Biochemistry research is frequently linked to ATP-binding cassette transporter, bridging the gap between disciplines.
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