What is he best known for?
The fields of study he is best known for:
Frederick P. Roth mainly focuses on Genetics, Computational biology, Gene, Interactome and Proteome.
Saccharomyces cerevisiae, Alternative splicing, Function, Genome and Gene expression profiling are the primary areas of interest in his Genetics study.
Frederick P. Roth has researched Computational biology in several fields, including Caenorhabditis elegans, Botany, Arabidopsis, Interaction network and Gene regulatory network.
His Interactome research incorporates elements of Proteomics, Human genome, Human genetics and Protein–protein interaction prediction.
His Proteome research includes elements of In silico and Yeast.
His Missense mutation study in the realm of Mutation connects with subjects such as Context, Genome-wide association study and Chaperone binding.
His most cited work include:
- Towards a proteome-scale map of the human protein–protein interaction network (2448 citations)
- The genetic landscape of a cell. (1828 citations)
- Global Mapping of the Yeast Genetic Interaction Network (1827 citations)
What are the main themes of his work throughout his whole career to date?
Frederick P. Roth mainly investigates Genetics, Computational biology, Gene, Interactome and Saccharomyces cerevisiae.
All of his Genetics and Human genome, Genome, Yeast, Phenotype and Mutation investigations are sub-components of the entire Genetics study.
His Yeast research incorporates themes from Cell, Growth inhibition and Drug.
His work investigates the relationship between Computational biology and topics such as Proteome that intersect with problems in Function.
His Gene research focuses on Mutation, Missense mutation, Allele, Caenorhabditis elegans and Untranslated region.
His work on Human interactome as part of general Interactome study is frequently linked to Context, therefore connecting diverse disciplines of science.
He most often published in these fields:
- Genetics (72.65%)
- Computational biology (49.78%)
- Gene (47.98%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (49.78%)
- Interactome (34.53%)
- Gene (47.98%)
In recent papers he was focusing on the following fields of study:
Computational biology, Interactome, Gene, Missense mutation and Protein–protein interaction are his primary areas of study.
While the research belongs to areas of Computational biology, Frederick P. Roth spends his time largely on the problem of Genome, intersecting his research to questions surrounding Function and Fitness effects.
Frederick P. Roth interconnects Proteome, Biotinylation, Signal transduction, Kinase and Reference map in the investigation of issues within Interactome.
Gene is the subject of his research, which falls under Genetics.
His work in the fields of Genetics, such as Major histocompatibility complex, Allele and Antigen, intersects with other areas such as Homocystinuria and MHC Class I Gene.
His work deals with themes such as Transmembrane domain and Topology, which intersect with Missense mutation.
Between 2018 and 2021, his most popular works were:
- A reference map of the human binary protein interactome. (122 citations)
- Systems analysis of RhoGEF and RhoGAP regulatory proteins reveals spatially organized RAC1 signalling from integrin adhesions. (32 citations)
- Systems analysis of RhoGEF and RhoGAP regulatory proteins reveals spatially organized RAC1 signalling from integrin adhesions. (32 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Computational biology, Interactome, Protein–protein interaction, Viral life cycle and Signalling.
Borrowing concepts from Coronavirus, Frederick P. Roth weaves in ideas under Computational biology.
His Interactome study integrates concerns from other disciplines, such as Proteome, Genome, Function and Reference map.
Frederick P. Roth has researched Genome in several fields, including Transcriptome, Human interactome and Human genetics.
His Protein–protein interaction research is multidisciplinary, relying on both Biotinylation, Proteomics and Viral replication.
His Signalling research is multidisciplinary, incorporating perspectives in Protein domain, RAC1, Cytoskeleton and Crosstalk.
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.
