What is he best known for?
The fields of study he is best known for:
Rodrigo A. Gutiérrez spends much of his time researching Arabidopsis, Genetics, Gene expression, Arabidopsis thaliana and Computational biology.
The various areas that Rodrigo A. Gutiérrez examines in his Arabidopsis study include Gene expression profiling and Gene regulatory network.
His Regulation of gene expression study in the realm of Genetics connects with subjects such as Data structure.
His research investigates the connection between Arabidopsis thaliana and topics such as Systems biology that intersect with problems in Test data generation, Identification, Data integration, Data science and Visualization.
His study in Computational biology is interdisciplinary in nature, drawing from both DNA microarray, Microarray analysis techniques and Nutrient.
Rodrigo A. Gutiérrez studied Gene and Botany that intersect with Genomics.
His most cited work include:
- Cell-specific nitrogen responses mediate developmental plasticity. (434 citations)
- Nitrate-responsive miR393/AFB3 regulatory module controls root system architecture in Arabidopsis thaliana. (413 citations)
- Genomic Analysis of the Nitrate Response Using a Nitrate Reductase-Null Mutant of Arabidopsis (356 citations)
What are the main themes of his work throughout his whole career to date?
Rodrigo A. Gutiérrez focuses on Arabidopsis, Gene, Arabidopsis thaliana, Botany and Cell biology.
His Arabidopsis research incorporates themes from Transcription factor, Computational biology, Regulation of gene expression, Nitrate and Gene regulatory network.
His Gene study results in a more complete grasp of Genetics.
His Arabidopsis thaliana study integrates concerns from other disciplines, such as Proteome, Rhizosphere and Phylogenetics.
His Botany research is multidisciplinary, incorporating perspectives in Genetically modified crops, Transgene, Biochemistry, Systems biology and Nutrient.
The concepts of his Cell biology study are interwoven with issues in Lateral root, Downregulation and upregulation and Mutant.
He most often published in these fields:
- Arabidopsis (40.94%)
- Gene (39.60%)
- Arabidopsis thaliana (28.86%)
What were the highlights of his more recent work (between 2018-2021)?
- Cell biology (22.82%)
- Gene (39.60%)
- Transcription factor (14.77%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Cell biology, Gene, Transcription factor, Arabidopsis and Arabidopsis thaliana.
Epidermis, Root nodule, Botany and Bacteria is closely connected to Nutrient in his research, which is encompassed under the umbrella topic of Gene.
His Transcription factor research includes themes of Computational biology and Transgene.
Rodrigo A. Gutiérrez interconnects Regulation of gene expression and Transcriptional regulation in the investigation of issues within Arabidopsis.
His research integrates issues of Proteome, Rhizosphere, Gene expression and Phosphorylation in his study of Arabidopsis thaliana.
His Gene expression course of study focuses on Systems biology and Data science.
Between 2018 and 2021, his most popular works were:
- Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions. (40 citations)
- Loop assembly: a simple and open system for recursive fabrication of DNA circuits (39 citations)
- Loop assembly: a simple and open system for recursive fabrication of DNA circuits (39 citations)
In his most recent research, the most cited papers focused on:
Rodrigo A. Gutiérrez mainly focuses on Nitrate, Cell biology, Climate change, Signal transduction and Arabidopsis.
His work in the fields of Nitrate, such as Nitrate transport, intersects with other areas such as Diversification.
His Arabidopsis study incorporates themes from Plant development, Transcription factor, Gene expression and Cell signaling.
His Transcription factor research integrates issues from MRNA Sequencing, Arabidopsis thaliana, Genome, Directionality and Gene regulatory network.
His Gene regulatory network research is included under the broader classification of Gene.
The study of Gene is intertwined with the study of Computational biology in a number of ways.
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.
