What is she best known for?
The fields of study she is best known for:
- Gene
- Internal medicine
- Genetics
Her primary areas of investigation include Genetics, Virology, Influenza A virus, Virus and Influenza A virus subtype H5N1.
Her study involves Genome-wide association study, Gene, Quantitative trait locus, Genetic association and Gene mapping, a branch of Genetics.
She combines subjects such as H5N1 genetic structure and Immunization with her study of Virology.
Her work carried out in the field of Influenza A virus brings together such families of science as Viral disease, Viral evolution and Drug resistance.
Her Virus study integrates concerns from other disciplines, such as Reassortant Viruses, Microbiology and Intensive care medicine.
Nancy J. Cox interconnects Pandemic, Outbreak, Neuraminidase and Virulence in the investigation of issues within Influenza A virus subtype H5N1.
Her most cited work include:
- Finding the missing heritability of complex diseases. (6414 citations)
- Prevention and control of influenza : recommendations of the Advisory Committee on Immunization Practices (ACIP) (4562 citations)
- The Genotype-Tissue Expression (GTEx) project (4397 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Genetics, Virology, Genome-wide association study, Virus and Gene.
Her is doing research in Single-nucleotide polymorphism, Genetic linkage, Genetic association, Allele and Quantitative trait locus, both of which are found in Genetics.
Her research on Virology frequently connects to adjacent areas such as H5N1 genetic structure.
The Genome-wide association study study combines topics in areas such as Bioinformatics, Expression quantitative trait loci, Internal medicine, Computational biology and Genetic architecture.
Her Virus research incorporates themes from Reassortment and Microbiology.
As part of the same scientific family, she usually focuses on Influenza A virus subtype H5N1, concentrating on Pandemic and intersecting with Public health.
She most often published in these fields:
- Genetics (38.50%)
- Virology (25.66%)
- Genome-wide association study (21.73%)
What were the highlights of her more recent work (between 2015-2021)?
- Genome-wide association study (21.73%)
- Genetics (38.50%)
- Gene (17.57%)
In recent papers she was focusing on the following fields of study:
Nancy J. Cox mostly deals with Genome-wide association study, Genetics, Gene, Computational biology and Internal medicine.
Her Genome-wide association study research is multidisciplinary, relying on both Quantitative trait locus, Genetic architecture, Expression quantitative trait loci and Genetic association.
Her research combines Type 2 diabetes and Genetics.
Nancy J. Cox usually deals with Computational biology and limits it to topics linked to Disease and Bioinformatics and Cognition.
Her studies in Internal medicine integrate themes in fields like Pharmacogenetics and Oncology.
Her Single-nucleotide polymorphism research includes themes of Phenome and Human genome.
Between 2015 and 2021, her most popular works were:
- The genetic architecture of type 2 diabetes (733 citations)
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (504 citations)
- Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics. (402 citations)
In her most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Mutation
Her primary areas of study are Genome-wide association study, Genetics, Computational biology, Single-nucleotide polymorphism and Expression quantitative trait loci.
Her biological study spans a wide range of topics, including Imputation, Linkage disequilibrium, Genetic association and Genetic predisposition.
Her works in Quantitative trait locus, Exome, Allele frequency, Allele and Genetic architecture are all subjects of inquiry into Genetics.
Her study in Computational biology is interdisciplinary in nature, drawing from both Genomics, Phenome, Gene, Disease and Gene regulatory network.
Her work deals with themes such as Locus and Bioinformatics, which intersect with Single-nucleotide polymorphism.
Her Expression quantitative trait loci research incorporates elements of SNP and Functional genomics.
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