What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genetics, Computational biology, Genome, Gene regulatory network and Genomics.
His work on Gene, Saccharomyces cerevisiae, Genome-wide association study and Breast cancer as part of his general Genetics study is frequently connected to Synthetic genetic array, thereby bridging the divide between different branches of science.
His studies deal with areas such as Phenotype, Proteome and Function as well as Saccharomyces cerevisiae.
His studies in Computational biology integrate themes in fields like Binding selectivity, Bioinformatics, Protein–protein interaction and Gene expression profiling.
In his study, Visualization and Cluster analysis is inextricably linked to Set, which falls within the broad field of Gene regulatory network.
His Functional genomics research includes elements of Biological network, Proteomics and Upload.
His most cited work include:
- Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry (3248 citations)
- Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry (3248 citations)
- An automated method for finding molecular complexes in large protein interaction networks. (2935 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computational biology, Genetics, Cancer research, Cell biology and Stem cell.
His Computational biology research is multidisciplinary, incorporating elements of Bioinformatics, Proteomics, Gene, Genomics and Protein–protein interaction.
In the field of Gene, his study on Gene regulatory network overlaps with subjects such as Synthetic genetic array.
His work on Protein structure expands to the thematically related Genetics.
Gary D. Bader has researched Cancer research in several fields, including Cancer, Immunology and DNA methylation.
His study in Saccharomyces cerevisiae is interdisciplinary in nature, drawing from both Phenotype and Proteome.
He most often published in these fields:
- Computational biology (26.23%)
- Genetics (21.04%)
- Cancer research (16.12%)
What were the highlights of his more recent work (between 2017-2021)?
- Cancer research (16.12%)
- Stem cell (13.66%)
- Cell biology (13.93%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Cancer research, Stem cell, Cell biology, Computational biology and Cell.
His Cancer research research integrates issues from Cancer cell, Cancer, Prostate cancer, Methylation and Disease.
Gary D. Bader has researched Stem cell in several fields, including Cell culture, Leukemia and Myeloid leukemia.
His Progenitor cell, Mitochondrion and Respiratory chain study, which is part of a larger body of work in Cell biology, is frequently linked to Tafazzin, bridging the gap between disciplines.
Gary D. Bader combines subjects such as Genome, Gene, Interactome, Genomics and Protein–protein interaction with his study of Computational biology.
His Gene study focuses on Transcriptome in particular.
Between 2017 and 2021, his most popular works were:
- Pan-cancer analysis of whole genomes (538 citations)
- Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations. (309 citations)
- Pathway enrichment analysis and visualization of omics data using g:Profiler, GSEA, Cytoscape and EnrichmentMap. (303 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Computational biology, Artificial intelligence, Cell biology, Cell and Genome.
His biological study spans a wide range of topics, including Set, Genomics, Gene, Interactome and Visualization.
The Set study combines topics in areas such as Single-nucleotide polymorphism and Data mining.
In the subject of general Cell biology, his work in Stem cell is often linked to Phosphatidylserine, thereby combining diverse domains of study.
His studies deal with areas such as Datasets as Topic and Point mutation as well as Genome.
His Progenitor cell research is multidisciplinary, relying on both Epigenomics, DNA methylation, Proteomics and Epigenetics.
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