What is she best known for?
The fields of study she is best known for:
Elissa J. Chesler mostly deals with Genetics, Quantitative trait locus, Gene, Phenotype and Inbred strain.
Her research in Gene mapping, Genetic variation, Allele, Allele frequency and Genome architecture are components of Genetics.
Her Quantitative trait locus research is multidisciplinary, incorporating elements of Evolutionary biology, Expression quantitative trait loci, Computational biology and Genetic diversity.
Her study in Genetic diversity is interdisciplinary in nature, drawing from both Biotechnology and Inbreeding.
Her Phenotype research includes themes of SNP, Gut flora, Phylogenetic tree, Strain and Haplotype.
Elissa J. Chesler interconnects Electrophysiology, Regulation of gene expression, Nociceptor and Transcriptome in the investigation of issues within Inbred strain.
Her most cited work include:
- The Collaborative Cross, a community resource for the genetic analysis of complex traits (852 citations)
- Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function (645 citations)
- The melanocortin-1 receptor gene mediates female-specific mechanisms of analgesia in mice and humans (435 citations)
What are the main themes of her work throughout her whole career to date?
Elissa J. Chesler spends much of her time researching Genetics, Quantitative trait locus, Gene, Phenotype and Computational biology.
Her is doing research in Genetic variation, Gene mapping, Inbred strain, Allele and Locus, both of which are found in Genetics.
Elissa J. Chesler works mostly in the field of Genetic variation, limiting it down to topics relating to Genetic diversity and, in certain cases, Evolutionary biology.
Her research integrates issues of Genetic analysis, Expression quantitative trait loci, Regulation of gene expression and Candidate gene in her study of Quantitative trait locus.
Her Phenotype research is multidisciplinary, relying on both Genome, Strain, Knockout mouse and Genotype.
As a part of the same scientific family, Elissa J. Chesler mostly works in the field of Computational biology, focusing on Genomics and, on occasion, Disease, Model organism and Data science.
She most often published in these fields:
- Genetics (49.53%)
- Quantitative trait locus (35.38%)
- Gene (23.58%)
What were the highlights of her more recent work (between 2018-2021)?
- Genetics (49.53%)
- Phenotype (21.23%)
- Gene (23.58%)
In recent papers she was focusing on the following fields of study:
Elissa J. Chesler mainly investigates Genetics, Phenotype, Gene, Addiction and Quantitative trait locus.
Her Genetics study frequently draws connections to other fields, such as Nicotine.
Her Phenotype study incorporates themes from Survival analysis, Genetic diversity and Longevity.
Her research in Addiction intersects with topics in Preference and Genomics.
Elissa J. Chesler works mostly in the field of Quantitative trait locus, limiting it down to topics relating to Behavioural genetics and, in certain cases, Pleiotropy, Parametric statistics and Genetic architecture, as a part of the same area of interest.
She combines subjects such as Evolutionary biology, Inbred strain and Related gene with her study of Genetic variation.
Between 2018 and 2021, her most popular works were:
- Large-scale discovery of mouse transgenic integration sites reveals frequent structural variation and insertional mutagenesis. (57 citations)
- High-Diversity Mouse Populations for Complex Traits. (39 citations)
- Identification of a novel gene regulating amygdala-mediated fear extinction. (26 citations)
In her most recent research, the most cited papers focused on:
Her main research concerns Phenotype, Genetics, Quantitative trait locus, Gene and Genetic analysis.
Her studies deal with areas such as Virus, Knockout mouse, Integrative genomics and Comorbidity as well as Phenotype.
As part of her studies on Genetics, Elissa J. Chesler often connects relevant areas like Perineuronal net.
Her Quantitative trait locus study combines topics in areas such as Chromosome 13, Chromosome 4, Preference and Sensory system.
Her work on Allele and Locus is typically connected to Sleep monitoring as part of general Gene study, connecting several disciplines of science.
Her Genetic analysis study also includes
- Genomics together with Evolutionary biology,
- Model organism and related Genetic variation and Addiction.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
