What is he best known for?
The fields of study he is best known for:
His main research concerns Systemic acquired resistance, Salicylic acid, Plant disease resistance, Genetics and Gene.
John Ryals interconnects Pathogen, Signal transduction, Cell biology and Gene expression in the investigation of issues within Systemic acquired resistance.
The Pathogen study combines topics in areas such as Botany and Virology.
His biological study spans a wide range of topics, including Transgene, Microbiology and Nicotiana tabacum.
His Microbiology research incorporates elements of Inducer, Phloem and Hyaloperonospora parasitica.
His research investigates the connection between Plant disease resistance and topics such as Mutant that intersect with problems in Virulence and Pseudomonas syringae.
His most cited work include:
- Systemic Acquired Resistance. (1875 citations)
- Requirement of Salicylic Acid for the Induction of Systemic Acquired Resistance (1481 citations)
- A Central Role of Salicylic Acid in Plant Disease Resistance (1427 citations)
What are the main themes of his work throughout his whole career to date?
John Ryals spends much of his time researching Gene, Systemic acquired resistance, Genetics, Biochemistry and Salicylic acid.
His research in Gene intersects with topics in Molecular biology, Biotechnology, Computational biology and Microbiology.
His work deals with themes such as Complementary DNA, Gene family, Nicotiana tabacum and Chitinase, which intersect with Molecular biology.
His Systemic acquired resistance study combines topics in areas such as Plant disease resistance, Pathogen and Gene expression.
His work on Cell biology expands to the thematically related Genetics.
His Salicylic acid study deals with Transgene intersecting with Virology.
He most often published in these fields:
- Gene (36.36%)
- Systemic acquired resistance (34.27%)
- Genetics (33.57%)
What were the highlights of his more recent work (between 1997-2016)?
- Gene (36.36%)
- Genetics (33.57%)
- Systemic acquired resistance (34.27%)
In recent papers he was focusing on the following fields of study:
John Ryals focuses on Gene, Genetics, Systemic acquired resistance, Metabolomics and Biochemistry.
His Gene research focuses on subjects like Pyrrolnitrin, which are linked to Microorganism.
His research on Genetics frequently links to adjacent areas such as Cell biology.
His Systemic acquired resistance study combines topics from a wide range of disciplines, such as Plant disease resistance, Pathogen and Salicylic acid.
His work carried out in the field of Salicylic acid brings together such families of science as Necrosis, Nicotiana tabacum and Solanaceae.
His study explores the link between Gene expression and topics such as Signal transduction that cross with problems in Inducer, Transformation and Genetically modified crops.
Between 1997 and 2016, his most popular works were:
- α-Hydroxybutyrate Is an Early Biomarker of Insulin Resistance and Glucose Intolerance in a Nondiabetic Population (424 citations)
- Analysis of the adult human plasma metabolome. (354 citations)
- Functional analysis of regulatory sequences controlling PR-1 gene expression in Arabidopsis (331 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Genetics, Systemic acquired resistance, Arabidopsis, Arabidopsis thaliana and Gene expression.
His research on Genetics frequently connects to adjacent areas such as Cell biology.
His study brings together the fields of Pathogen and Systemic acquired resistance.
Within one scientific family, John Ryals focuses on topics pertaining to Plant disease resistance under Arabidopsis, and may sometimes address concerns connected to Microbiology, Jasmonic acid and Fungicide.
His research investigates the connection with Gene expression and areas like Salicylic acid which intersect with concerns in Signal transduction.
His Pathogenesis-related protein research incorporates themes from Mutant, Protoporphyrinogen oxidase and Transactivation.
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.
