What is she best known for?
The fields of study she is best known for:
Gene, Arabidopsis, Regulation of gene expression, Genetics and Botany are her primary areas of study.
Her Arabidopsis research is multidisciplinary, incorporating perspectives in Transcription factor and Gene expression profiling.
Her work carried out in the field of Gene expression profiling brings together such families of science as Cell, Transcription and Computational biology.
Siobhan M. Brady combines subjects such as Agrobacterium and Cell biology with her study of Regulation of gene expression.
Her research in Genetics intersects with topics in Natural selection and Selection.
As a part of the same scientific study, Siobhan M. Brady usually deals with the Botany, concentrating on Abiotic stress and frequently concerns with Secondary cell wall.
Her most cited work include:
- A High-Resolution Root Spatiotemporal Map Reveals Dominant Expression Patterns (874 citations)
- The Botany Array Resource: e-Northerns, Expression Angling, and promoter analyses. (631 citations)
- Cell identity mediates the response of Arabidopsis roots to abiotic stress. (549 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Arabidopsis, Transcription factor, Cell biology, Gene and Computational biology.
Her research on Arabidopsis concerns the broader Genetics.
Her Transcription factor study incorporates themes from Secondary cell wall, Phenotype, Vascular bundle, Mutant and Promoter.
Her Cell biology research incorporates elements of Transcription, Transcriptional regulation, Repressor, Auxin and Regulation of gene expression.
Her studies link Cell with Gene.
The concepts of her Computational biology study are interwoven with issues in Bioinformatics, Transcriptional Networks, Function and Genomics.
She most often published in these fields:
- Arabidopsis (56.78%)
- Transcription factor (33.90%)
- Cell biology (33.05%)
What were the highlights of her more recent work (between 2018-2021)?
- Arabidopsis (56.78%)
- Transcription factor (33.90%)
- Cell biology (33.05%)
In recent papers she was focusing on the following fields of study:
Siobhan M. Brady spends much of her time researching Arabidopsis, Transcription factor, Cell biology, Gene and Computational biology.
In her study, Function is strongly linked to Meristem, which falls under the umbrella field of Arabidopsis.
Her Transcription factor study combines topics from a wide range of disciplines, such as Cell, Regulation of gene expression, Gene expression and Mutant.
Her biological study spans a wide range of topics, including Homeobox and Phloem.
Her Cell biology research integrates issues from Vascular tissue, Vascular bundle, Xylem, Repressor and Auxin.
Siobhan M. Brady has researched Computational biology in several fields, including Promoter, Cell type, MEDLINE and Plant genomes.
Between 2018 and 2021, her most popular works were:
- High-Throughput Single-Cell Transcriptome Profiling of Plant Cell Types. (96 citations)
- Evolutionary flexibility in flooding response circuitry in angiosperms. (34 citations)
- A PXY-mediated transcriptional network integrates signaling mechanisms to control vascular development in arabidopsis. (25 citations)
In her most recent research, the most cited papers focused on:
Siobhan M. Brady mainly investigates Transcription factor, Arabidopsis, Gene, Computational biology and Cell biology.
Her studies deal with areas such as Bioenergy, Eucalyptus, Synthetic biology, Promoter and Regulation of gene expression as well as Transcription factor.
Her studies in Arabidopsis integrate themes in fields like Docking, Interaction network, Protein–protein interaction, Adaptation and Abiotic component.
The study incorporates disciplines such as Protein structure, Secondary cell wall, Cell type and Interactome in addition to Computational biology.
As a member of one scientific family, Siobhan M. Brady mostly works in the field of Cell type, focusing on Sequence analysis and, on occasion, Cell.
Her biological study spans a wide range of topics, including Polyadenylation, Messenger RNA, Untranslated region, Cell division and Coding region.
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.
