What is he best known for?
The fields of study he is best known for:
Gene, Botany, Genetics, Arabidopsis and Genome are his primary areas of study.
The concepts of his Gene study are interwoven with issues in Endoplasmic reticulum and Computational biology.
Nicholas J. Provart combines subjects such as Normalization, Transcriptome and Hidden Markov model with his study of Computational biology.
His work deals with themes such as Minimum information about a microarray experiment, Microarray databases, C-4 and Graphics, which intersect with Botany.
The various areas that Nicholas J. Provart examines in his Arabidopsis study include Caenorhabditis elegans, Saccharomyces cerevisiae, Model organism, Whole genome sequencing and Mutation.
His research investigates the link between Genome and topics such as Evolutionary biology that cross with problems in Arabidopsis thaliana, Seed dormancy, Germination, Dormancy and Abiotic stress.
His most cited work include:
- An “Electronic Fluorescent Pictograph” Browser for Exploring and Analyzing Large-Scale Biological Data Sets (1863 citations)
- Abscisic Acid Inhibits Type 2C Protein Phosphatases via the PYR/PYL Family of START Proteins (1734 citations)
- Expression Profile Matrix of Arabidopsis Transcription Factor Genes Suggests Their Putative Functions in Response to Environmental Stresses (855 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Gene, Arabidopsis, Computational biology, Genetics and Transcriptome.
Gene expression, Genome, Gene expression profiling, Regulation of gene expression and Transcription factor are among the areas of Gene where he concentrates his study.
His study in Arabidopsis is interdisciplinary in nature, drawing from both Arabidopsis thaliana, Function, Botany and Gene regulatory network.
His work on Germination is typically connected to Medicago truncatula as part of general Botany study, connecting several disciplines of science.
His studies examine the connections between Computational biology and genetics, as well as such issues in Bioinformatics, with regards to The Arabidopsis Information Resource.
Desiccation tolerance is closely connected to Cell biology in his research, which is encompassed under the umbrella topic of Transcriptome.
He most often published in these fields:
- Gene (41.13%)
- Arabidopsis (33.33%)
- Computational biology (24.11%)
What were the highlights of his more recent work (between 2017-2021)?
- Gene (41.13%)
- Arabidopsis (33.33%)
- Arabidopsis thaliana (12.06%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Gene, Arabidopsis, Arabidopsis thaliana, Computational biology and Cell biology.
Many of his studies involve connections with topics such as Endosperm and Gene.
His studies deal with areas such as Interaction network, Leucine-rich repeat, Cell type and Function as well as Arabidopsis.
His Computational biology study combines topics in areas such as Protein structure, Interactome, Protein–protein interaction and Gene family.
Nicholas J. Provart has researched Regulation of gene expression in several fields, including Evolutionary biology, Polyploid, Gene regulatory network and Gene expression profiling.
His Genome study necessitates a more in-depth grasp of Genetics.
Between 2017 and 2021, his most popular works were:
- The transcriptional landscape of polyploid wheat (271 citations)
- An extracellular network of Arabidopsis leucine-rich repeat receptor kinases (109 citations)
- High Temporal-Resolution Transcriptome Landscape of Early Maize Seed Development. (44 citations)
In his most recent research, the most cited papers focused on:
Nicholas J. Provart mostly deals with Gene, Regulation of gene expression, Cell biology, Transcriptome and Evolutionary biology.
His Gene study frequently links to related topics such as Endosperm.
His Regulation of gene expression study combines topics from a wide range of disciplines, such as Subfunctionalization, Gene regulatory network and Gene expression profiling.
His biological study spans a wide range of topics, including Genome and Candidate gene.
His Cell biology research integrates issues from Receptor and Arabidopsis.
Transcriptome is a subfield of Genetics that Nicholas J. Provart studies.
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