What is he best known for?
The fields of study he is best known for:
Reuben J. Peters mainly focuses on Biochemistry, Terpenoid, Diterpene, Biosynthesis and Stereochemistry.
His ATP synthase, Enzyme, Functional genomics and Gene family study in the realm of Biochemistry interacts with subjects such as Phytoalexin.
His biological study deals with issues like Terpene, which deal with fields such as Genome evolution.
His biological study spans a wide range of topics, including Gibberellin and Copalyl diphosphate synthase.
His Copalyl diphosphate synthase research incorporates elements of Ferruginol, Botany and Metabolic engineering.
His Stereochemistry research includes themes of Stereoisomerism and Escherichia coli.
His most cited work include:
- Two rings in them all: The labdane-related diterpenoids (243 citations)
- Terpenoid synthase structures: a so far incomplete view of complex catalysis (206 citations)
- Full-length transcriptome sequences and splice variants obtained by a combination of sequencing platforms applied to different root tissues of Salvia miltiorrhiza and tanshinone biosynthesis. (199 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Biochemistry, Biosynthesis, Stereochemistry, Diterpene and ATP synthase.
In general Biochemistry study, his work on Enzyme and Gene often relates to the realm of Phytoalexin, thereby connecting several areas of interest.
The Biosynthesis study combines topics in areas such as Metabolic engineering, Hydroxylation, Oxidase test, Cytochrome P450 and Terpenoid.
His research in the fields of Terpene overlaps with other disciplines such as Abietadiene synthase.
His Diterpene study incorporates themes from Metabolite, Copalyl diphosphate synthase, Stereoisomerism and Natural product.
In his work, Arabidopsis is strongly intertwined with Arabidopsis thaliana, which is a subfield of ATP synthase.
He most often published in these fields:
- Biochemistry (45.62%)
- Biosynthesis (40.00%)
- Stereochemistry (39.37%)
What were the highlights of his more recent work (between 2018-2021)?
- Biosynthesis (40.00%)
- Biochemistry (45.62%)
- Stereochemistry (39.37%)
In recent papers he was focusing on the following fields of study:
Reuben J. Peters focuses on Biosynthesis, Biochemistry, Stereochemistry, Gene and Cytochrome P450.
Reuben J. Peters has researched Biosynthesis in several fields, including Protein structure, Transcription and Cyclase.
As part of his studies on Biochemistry, Reuben J. Peters often connects relevant subjects like Gibberellin.
His work carried out in the field of Stereochemistry brings together such families of science as Biological activity, Stereospecificity and ATP synthase.
The various areas that Reuben J. Peters examines in his Cytochrome P450 study include Gene cluster, Genome and Subfamily.
His Diterpene study combines topics from a wide range of disciplines, such as Glucosyltransferase and Andrographolide.
Between 2018 and 2021, his most popular works were:
- Genome of Tripterygium wilfordii and identification of cytochrome P450 involved in triptolide biosynthesis (19 citations)
- The genome of the medicinal plant Andrographis paniculata provides insight into the biosynthesis of the bioactive diterpenoid neoandrographolide. (18 citations)
- CYP72A enzymes catalyse 13-hydrolyzation of gibberellins (14 citations)
In his most recent research, the most cited papers focused on:
Reuben J. Peters spends much of his time researching Biochemistry, Genome, Biosynthesis, Gibberellin and Enzyme.
He works in the field of Biochemistry, focusing on Cytochrome P450 in particular.
His Biosynthesis study frequently draws connections between adjacent fields such as Saccharomyces cerevisiae.
His Gibberellin research is multidisciplinary, incorporating perspectives in Brassicaceae, Cyclase, Bacteria, Alanine and Gene duplication.
His work in the fields of Enzyme, such as Metabolic engineering, intersects with other areas such as Rosmarinus.
His Terpenoid study integrates concerns from other disciplines, such as Computational biology and Diterpene.
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.
