What is she best known for?
The fields of study she is best known for:
Elza Khusnutdinova focuses on Genetics, Evolutionary biology, Genome-wide association study, Breast cancer and Haplogroup.
Her studies deal with areas such as Ancient DNA, Population genetics and Old World as well as Genetics.
Her research integrates issues of Mitochondrial DNA, Genomics, Denisovan, Biological dispersal and Haplotype in her study of Evolutionary biology.
Her biological study spans a wide range of topics, including Cancer research, Allele, Genetic association and Locus.
Elza Khusnutdinova focuses mostly in the field of Breast cancer, narrowing it down to matters related to Genetic predisposition and, in some cases, Cancer.
Her Haplogroup research integrates issues from Human Y-chromosome DNA haplogroup and Haplogroup H.
Her most cited work include:
- Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture (845 citations)
- Ancient human genomes suggest three ancestral populations for present-day Europeans (811 citations)
- The Simons Genome Diversity Project: 300 genomes from 142 diverse populations (684 citations)
What are the main themes of her work throughout her whole career to date?
Elza Khusnutdinova spends much of her time researching Genetics, Gene, Allele, Genotype and Internal medicine.
Her study in Haplotype, Allele frequency, Polymorphism, Human genetics and Locus are all subfields of Genetics.
Her Internal medicine study combines topics in areas such as Endocrinology, Single-nucleotide polymorphism and Oncology.
Her study in Breast cancer is interdisciplinary in nature, drawing from both CHEK2, Genome-wide association study and Genetic predisposition.
Her work in Genome-wide association study tackles topics such as Genetic association which are related to areas like Expression quantitative trait loci.
Elza Khusnutdinova works mostly in the field of Haplogroup, limiting it down to topics relating to Evolutionary biology and, in certain cases, Mitochondrial DNA.
She most often published in these fields:
- Genetics (72.73%)
- Gene (34.37%)
- Allele (28.16%)
What were the highlights of her more recent work (between 2018-2021)?
- Gene (34.37%)
- Breast cancer (17.52%)
- Genetics (72.73%)
In recent papers she was focusing on the following fields of study:
The scientist’s investigation covers issues in Gene, Breast cancer, Genetics, Internal medicine and Oncology.
Her Gene study integrates concerns from other disciplines, such as Computational biology and Bioinformatics.
Her Breast cancer research is multidisciplinary, incorporating elements of CHEK2, Germline mutation, Germline and Mutation.
Her Genetics study frequently links to adjacent areas such as Published Erratum.
Her research in the fields of Prostate cancer overlaps with other disciplines such as Risk assessment.
Her Oncology research includes themes of Odds ratio, Prostate, Genome-wide association study, Ovarian cancer and Hazard ratio.
Between 2018 and 2021, her most popular works were:
- Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes (257 citations)
- Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes (257 citations)
- Shared heritability and functional enrichment across six solid cancers (41 citations)
In her most recent research, the most cited papers focused on:
Her primary areas of investigation include Breast cancer, Gene, Internal medicine, Oncology and Genome-wide association study.
Her research in Breast cancer intersects with topics in CHEK2, Germline mutation, FANCM and Cancer research.
Gene is a primary field of her research addressed under Genetics.
In most of her Genetics studies, her work intersects topics such as Insulin resistance.
Her work on Proportional hazards model, Hazard ratio, Prostate cancer and Odds ratio as part of general Internal medicine study is frequently linked to Risk assessment, bridging the gap between disciplines.
Elza Khusnutdinova has researched Genome-wide association study in several fields, including Ovarian cancer and Genetic correlation.
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