What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Computational biology, Gene, Gene regulatory network and Biological network.
His primary area of study in Computational biology is in the field of Systems biology.
His study looks at the intersection of Gene regulatory network and topics like Model organism with Mrna expression and Signalling.
His Biological network study is focused on Bioinformatics in general.
His work deals with themes such as Cancer, Ovarian cancer and Cancer genetics, which intersect with Bioinformatics.
His Interaction network research is multidisciplinary, relying on both ConsensusPathDB and Human Protein Reference Database.
His most cited work include:
- Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks (19179 citations)
- Cytoscape 2.8 (3168 citations)
- Integration of biological networks and gene expression data using Cytoscape. (1844 citations)
What are the main themes of his work throughout his whole career to date?
Trey Ideker mostly deals with Computational biology, Genetics, Gene, Genome and Systems biology.
His work on Biological network as part of general Computational biology study is frequently linked to Protein network, therefore connecting diverse disciplines of science.
Gene connects with themes related to Cancer cell in his study.
His Systems biology study combines topics in areas such as Proteomics, Data science and Genomics.
In DNA repair, Trey Ideker works on issues like DNA damage, which are connected to Cell biology.
The concepts of his Cancer study are interwoven with issues in Mutation, Cancer research and Bioinformatics.
He most often published in these fields:
- Computational biology (38.14%)
- Genetics (30.33%)
- Gene (22.22%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (38.14%)
- Genome (12.31%)
- Gene (22.22%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computational biology, Genome, Gene, Cancer and Virology.
His studies in Computational biology integrate themes in fields like Cancer cell and Protein–protein interaction.
His Genome study is associated with Genetics.
His study in the field of Establishment of sister chromatid cohesion, Chromosome segregation, Cohesin complex and Mitosis is also linked to topics like Prefoldin complex.
His study looks at the relationship between Gene and fields such as Natural selection, as well as how they intersect with chemical problems.
The various areas that he examines in his Cancer study include Pan cancer, Precision medicine, Cancer research and PI3K/AKT/mTOR pathway.
Between 2018 and 2021, his most popular works were:
- A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. (1317 citations)
- A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing. (187 citations)
- DNA methylation aging clocks: challenges and recommendations (142 citations)
In his most recent research, the most cited papers focused on:
Trey Ideker spends much of his time researching Computational biology, Cancer, Gene, Genome and Systems biology.
Trey Ideker performs integrative study on Computational biology and Gambit in his works.
His study in Cancer is interdisciplinary in nature, drawing from both Stem cell, Chromosomal Alterations and Big data.
His work on Transmembrane domain, Locus, Genetic Fitness and Intergenic region as part of general Gene research is frequently linked to Transmembrane protein, thereby connecting diverse disciplines of science.
His Human genome study in the realm of Genome interacts with subjects such as Set.
His Systems biology research includes elements of Ontology and Software engineering.
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