What is he best known for?
The fields of study he is best known for:
M. Madan Babu mostly deals with Genetics, Computational biology, Gene, Cell biology and Genome.
His works in Transcription factor, Genomics, Transcriptional regulation, Transcription and Proteome are all subjects of inquiry into Genetics.
His biological study spans a wide range of topics, including Amino acid, Biochemistry, Folding and Protein Interaction Networks.
His work carried out in the field of Cell biology brings together such families of science as Protein structure, Receptor, Regulation of gene expression and Ap180.
His Protein structure research includes elements of Signal transduction, G protein-coupled receptor, Protein folding, Structural biology and Intrinsically disordered proteins.
M. Madan Babu combines subjects such as SUPERFAMILY, Protein Sorting Signals, Database and Sequence with his study of Genome.
His most cited work include:
- The Transcriptional Landscape of the Mammalian Genome (2876 citations)
- The genome of the social amoeba Dictyostelium discoideum (1090 citations)
- Molecular signatures of G-protein-coupled receptors. (966 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computational biology, Genetics, Gene, Cell biology and Genome.
The study incorporates disciplines such as G protein-coupled receptor, Bioinformatics, Function, Protein–protein interaction and Gene regulatory network in addition to Computational biology.
His study in Transcription factor, Regulation of gene expression, Genomics, Transcriptional regulation and Gene expression is done as part of Genetics.
His Evolutionary biology research extends to Gene, which is thematically connected.
His Cell biology study integrates concerns from other disciplines, such as Protein structure, Proteome, Phenotype and Saccharomyces cerevisiae.
His research on Genome frequently links to adjacent areas such as Organism.
He most often published in these fields:
- Computational biology (41.54%)
- Genetics (37.95%)
- Gene (25.64%)
What were the highlights of his more recent work (between 2018-2021)?
- G protein-coupled receptor (17.44%)
- Computational biology (41.54%)
- Cell biology (22.05%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include G protein-coupled receptor, Computational biology, Cell biology, Receptor and Signal transduction.
His Computational biology study incorporates themes from Cellular pathways, Protein domain, Gene and Gene isoform.
His studies in Gene integrate themes in fields like Cancer, Biological network and Genome instability.
His work in the fields of Cell biology, such as Function, G protein and Protein–protein interaction, intersects with other areas such as Mechanism.
His Receptor research integrates issues from Plasma protein binding and Membrane protein.
The various areas that M. Madan Babu examines in his Cell signaling study include RGS Proteins and Genome.
Between 2018 and 2021, his most popular works were:
- Common activation mechanism of class A GPCRs. (47 citations)
- A conserved molecular switch in Class F receptors regulates receptor activation and pathway selection. (23 citations)
- Combinatorial expression of GPCR isoforms affects signalling and drug responses. (11 citations)
In his most recent research, the most cited papers focused on:
M. Madan Babu focuses on G protein-coupled receptor, Receptor, Computational biology, Protein engineering and Cell biology.
His G protein-coupled receptor study contributes to a more complete understanding of Signal transduction.
His Computational biology research is multidisciplinary, incorporating perspectives in Gene expression profiling, Proteomics, Single-cell analysis, HEK 293 cells and Membrane protein.
M. Madan Babu has included themes like Ancestral reconstruction, Protein design and Sequence in his Protein engineering study.
His Cell biology research is multidisciplinary, incorporating elements of Cell and Gene expression.
His G protein study combines topics in areas such as Protein structure, Chemical biology, Structural motif and Functional selectivity.
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