What is she best known for?
The fields of study she is best known for:
Shoba Ranganathan mainly focuses on Genetics, Computational biology, Genome, Molecular biology and Gene.
Her Genetics study frequently draws connections between related disciplines such as Schistosoma haematobium.
Her research in Computational biology intersects with topics in Annotation, Cleavage, Tetrapeptide and Cysteine.
In general Genome study, her work on Whole genome sequencing often relates to the realm of Schistosoma, thereby connecting several areas of interest.
Her Molecular biology research is multidisciplinary, relying on both Caenorhabditis elegans, Proteases, Mutant, Ancylostoma caninum and DNA microarray.
Her study in the field of Bovine genome, Synteny and Recombinant DNA also crosses realms of Segmental duplication.
Her most cited work include:
- The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution (927 citations)
- The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution (927 citations)
- Whole-genome sequence of Schistosoma haematobium (335 citations)
What are the main themes of her work throughout her whole career to date?
Shoba Ranganathan spends much of her time researching Computational biology, Bioinformatics, Genetics, DNA microarray and Gene.
Her Computational biology study combines topics in areas such as Proteome, Proteomics, Genome, Genomics and Major histocompatibility complex.
Shoba Ranganathan specializes in Genome, namely Whole genome sequencing.
Her Bioinformatics research is multidisciplinary, incorporating elements of Peptide and Data science.
She has researched DNA microarray in several fields, including Human genome and Alternative splicing.
Her Gene research is mostly focused on the topic Mutation.
She most often published in these fields:
- Computational biology (40.24%)
- Bioinformatics (38.72%)
- Genetics (26.83%)
What were the highlights of her more recent work (between 2013-2021)?
- Computational biology (40.24%)
- Bioinformatics (38.72%)
- Genomics (10.37%)
In recent papers she was focusing on the following fields of study:
Shoba Ranganathan mostly deals with Computational biology, Bioinformatics, Genomics, Proteomics and Genome.
Her Computational biology research is multidisciplinary, incorporating perspectives in G protein-coupled receptor, Encyclopedia, Function and Drug discovery.
Her Bioinformatics study also includes fields such as
- Big data together with Special Interest Group,
- Data science which is related to area like DNA microarray.
Her studies in Proteomics integrate themes in fields like Proteome and Cell biology.
Gene and Genetics are the subject areas of her Genome study.
Her work on Human parasite, Whole genome sequencing and Microarray as part of general Gene study is frequently connected to Necatoriasis, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Between 2013 and 2021, her most popular works were:
- Genome of the human hookworm Necator americanus (137 citations)
- Genome of the human hookworm Necator americanus (137 citations)
- Accelerating the search for the missing proteins in the human proteome (57 citations)
In her most recent research, the most cited papers focused on:
Shoba Ranganathan mostly deals with Computational biology, Proteomics, Genome, Genetics and Encyclopedia.
Her work carried out in the field of Computational biology brings together such families of science as Amino acid, Proteome, Biochemistry and Functional genomics.
Her work focuses on many connections between Proteomics and other disciplines, such as Cell biology, that overlap with her field of interest in Protein family and Transmembrane protein.
Her Genome study is focused on Gene in general.
Her study on Microarray, Whole genome sequencing and Human parasite is often connected to Necatoriasis as part of broader study in Gene.
Shoba Ranganathan integrates Genetics with Chromosome 7 in her research.
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