What is he best known for?
The fields of study he is best known for:
Imre E. Somssich focuses on Genetics, WRKY protein domain, Transcription factor, W-box and Gene.
His work in Genetics addresses issues such as Effector, which are connected to fields such as Receptor, Pattern recognition receptor and Pathogenesis-related protein.
His WRKY protein domain study incorporates themes from Genome, Genomics, Fungal protein and Abiotic component.
His Transcription factor research includes elements of Arabidopsis, Mutant, Regulation of gene expression, Transcription and Plant defense against herbivory.
His W-box study combines topics in areas such as Plant Immunity, Conserved sequence, DNA-binding protein and Cell biology.
His Gene research incorporates themes from Evolutionary biology, Pathogen and Signal transduction.
His most cited work include:
- The WRKY superfamily of plant transcription factors (1913 citations)
- WRKY transcription factors. (1349 citations)
- Networks of WRKY transcription factors in defense signaling. (911 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Gene, Arabidopsis, Transcription factor and WRKY protein domain.
His Gene research is included under the broader classification of Biochemistry.
His research integrates issues of Arabidopsis thaliana, Regulation of gene expression, Botany and Cell biology in his study of Arabidopsis.
His study explores the link between Transcription factor and topics such as Transcription that cross with problems in Reprogramming, Transcriptional Networks and Reporter gene.
His biological study spans a wide range of topics, including MAMP, W-box, Pattern recognition receptor, Binding site and Effector.
His studies examine the connections between W-box and genetics, as well as such issues in DNA-binding protein, with regards to Leucine zipper.
He most often published in these fields:
- Genetics (44.95%)
- Gene (44.95%)
- Arabidopsis (34.86%)
What were the highlights of his more recent work (between 2010-2020)?
- Arabidopsis (34.86%)
- Transcription factor (28.44%)
- Cell biology (22.02%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Arabidopsis, Transcription factor, Cell biology, WRKY protein domain and Gene.
His work deals with themes such as Jasmonic acid, Scaffold protein, Pseudomonas syringae and Botany, which intersect with Arabidopsis.
His Transcription factor study introduces a deeper knowledge of Genetics.
His studies in Cell biology integrate themes in fields like cDNA library, Botrytis cinerea, Innate immune system and Activator.
His WRKY protein domain research integrates issues from MAMP, Transcriptional regulation, Immunity, Regulation of gene expression and Abiotic component.
His Gene study deals with Biotechnology intersecting with Virulence, Real-time polymerase chain reaction and Pathogen.
Between 2010 and 2020, his most popular works were:
- Arabidopsis WRKY33 Is a Key Transcriptional Regulator of Hormonal and Metabolic Responses toward Botrytis cinerea Infection (299 citations)
- Coiled-Coil Domain-Dependent Homodimerization of Intracellular Barley Immune Receptors Defines a Minimal Functional Module for Triggering Cell Death (211 citations)
- Transcriptional networks in plant immunity (190 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Transcription factor, WRKY protein domain, Arabidopsis, Cell biology and Immune system.
His WRKY protein domain study integrates concerns from other disciplines, such as Regulation of gene expression, Jasmonate and Transcriptional regulation.
His Arabidopsis study is focused on Genetics in general.
He works in the field of Genetics, focusing on Intracellular in particular.
As part of the same scientific family, he usually focuses on Cell biology, concentrating on Innate immune system and intersecting with Effector, Immune receptor and Coiled coil.
His Immune system research is multidisciplinary, incorporating perspectives in Reprogramming, Computational biology, Transcription and Bioinformatics.
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.
