What is she best known for?
The fields of study she is best known for:
Her primary areas of study are Genetics, Gene expression profiling, Gene, Computational biology and Genomics.
Her research on Genetics often connects related topics like Cell biology.
Her Gene expression profiling research includes elements of Cancer research, Bioinformatics, Diffuse large B-cell lymphoma, DNA microarray and Prednisone.
In general Gene study, her work on Gene expression, IDH1 and Mesenchymal Glioblastoma often relates to the realm of Set, thereby connecting several areas of interest.
The Computational biology study combines topics in areas such as Oligonucleotide Microarrays, Human cancer, Personal genomics, Regulation of gene expression and Transcription.
Her work deals with themes such as User experience design, Cell culture, World Wide Web and Data science, which intersect with Genomics.
Her most cited work include:
- Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles (22405 citations)
- Initial sequencing and analysis of the human genome. (18816 citations)
- Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. (11046 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Computational biology, Genetics, Gene, Bioinformatics and Cancer research.
Cluster analysis is closely connected to Visualization in her research, which is encompassed under the umbrella topic of Computational biology.
Her work in Genome, Gene expression profiling, Human genome, Exome and Mutation is related to Genetics.
Her work on Gene expression, RNA interference and Transcriptome as part of general Gene study is frequently linked to Set, therefore connecting diverse disciplines of science.
She interconnects Disease and Workflow in the investigation of issues within Bioinformatics.
Her Cancer research research is multidisciplinary, incorporating perspectives in Cancer cell, Cancer, Metastasis and Oncogene.
She most often published in these fields:
- Computational biology (30.92%)
- Genetics (27.48%)
- Gene (26.72%)
What were the highlights of her more recent work (between 2015-2021)?
- Computational biology (30.92%)
- Gene (26.72%)
- Genetics (27.48%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Computational biology, Gene, Genetics, Bioinformatics and Cancer research.
Her Computational biology research incorporates themes from Precision medicine, Integrative genomics, Visual inspection and MAPK/ERK pathway.
Her work in Gene addresses subjects such as Immune system, which are connected to disciplines such as Gene regulatory network, Inflammation and Sepsis.
Her study deals with a combination of Genetics and Identification.
Her Bioinformatics research also works with subjects such as
- Disease which intersects with area such as In silico,
- Workflow which intersects with area such as Genomics and Identification.
Her Medulloblastoma study, which is part of a larger body of work in Cancer research, is frequently linked to Carboplatin, bridging the gap between disciplines.
Between 2015 and 2021, her most popular works were:
- Juicebox Provides a Visualization System for Hi-C Contact Maps with Unlimited Zoom. (473 citations)
- Dependency of a therapy-resistant state of cancer cells on a lipid peroxidase pathway (405 citations)
- Dependency of a therapy-resistant state of cancer cells on a lipid peroxidase pathway (405 citations)
In her most recent research, the most cited papers focused on:
Jill P. Mesirov mostly deals with Computational biology, Genetics, Bioinformatics, Gene and Cancer.
Her Computational biology study frequently links to other fields, such as Functional genomics.
She undertakes multidisciplinary investigations into Genetics and Chromoplexy in her work.
Her Bioinformatics study combines topics in areas such as Interoperation, Workflow, System integration and Genomics.
As part of her studies on Gene, she often connects relevant areas like Cell.
Her Cancer research is multidisciplinary, relying on both Phenotype, Exome sequencing, Genome and Gene mutation.
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