What is she best known for?
The fields of study she is best known for:
- Gene
- Cancer
- Internal medicine
Melissa C. Southey focuses on Breast cancer, Genome-wide association study, Internal medicine, Oncology and Genetics.
Her Breast cancer research entails a greater understanding of Cancer.
Melissa C. Southey interconnects Germline mutation and PALB2 in the investigation of issues within Cancer.
Her Genome-wide association study study combines topics in areas such as Genotyping, Prostate cancer and Genetic association.
Her Internal medicine research includes themes of Penetrance, Gene mutation and Pathology.
Melissa C. Southey has researched Oncology in several fields, including Cohort study, Case-control study, Ovarian cancer, Hazard ratio and Risk factor.
Her most cited work include:
- Genome-wide association study identifies novel breast cancer susceptibility loci (2077 citations)
- Genome-wide association study identifies novel breast cancer susceptibility loci (2077 citations)
- Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers (962 citations)
What are the main themes of her work throughout her whole career to date?
Breast cancer, Internal medicine, Oncology, Genetics and Genome-wide association study are her primary areas of study.
Her work carried out in the field of Breast cancer brings together such families of science as Germline mutation, Family history, Genotype and Bioinformatics.
Her study looks at the relationship between Internal medicine and topics such as DNA methylation, which overlap with Epigenetics and Confounding.
Melissa C. Southey has included themes like Methylation, Cohort study, Hazard ratio, Colorectal cancer and Prostate cancer in her Oncology study.
In her research, Carcinogenesis is intimately related to Cancer research, which falls under the overarching field of Genetics.
Her Genome-wide association study study is focused on Single-nucleotide polymorphism in general.
She most often published in these fields:
- Breast cancer (78.22%)
- Internal medicine (79.63%)
- Oncology (69.99%)
What were the highlights of her more recent work (between 2019-2021)?
- Internal medicine (79.63%)
- Oncology (69.99%)
- Breast cancer (78.22%)
In recent papers she was focusing on the following fields of study:
Melissa C. Southey mostly deals with Internal medicine, Oncology, Breast cancer, DNA methylation and Cancer.
Her biological study spans a wide range of topics, including Logistic regression, Biomarker, Penetrance, Single-nucleotide polymorphism and Prostate cancer.
The various areas that Melissa C. Southey examines in her Breast cancer study include Genome-wide association study, Epidemiology, CHEK2, Germline and Family history.
Her Genome-wide association study research includes elements of Genetic variation, Human genetics, Bioinformatics and Longevity.
Her DNA methylation research is multidisciplinary, relying on both Colorectal cancer, Methylation and Epigenetics.
Her Cancer course of study focuses on Lung cancer and Anthropometry and Biomarkers of aging.
Between 2019 and 2021, her most popular works were:
- Cancer Risks Associated With Germline PALB2 Pathogenic Variants: An International Study of 524 Families (100 citations)
- Cancer Risks Associated With Germline PALB2 Pathogenic Variants: An International Study of 524 Families (100 citations)
- Breast cancer risk genes - Association analysis in more than 113,000 women (76 citations)
In her most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
Melissa C. Southey mainly focuses on Internal medicine, Oncology, Breast cancer, Cohort study and DNA methylation.
Her study in Internal medicine is interdisciplinary in nature, drawing from both Gene sequence and Allele frequency.
Her research in Oncology intersects with topics in Germline mutation, PALB2, Colorectal cancer, Prostate cancer and Risk factor.
Her study in the field of Estrogen receptor also crosses realms of FANCM GENE.
Her DNA methylation research is multidisciplinary, incorporating perspectives in Methylation and Epigenetics.
Her work investigates the relationship between Disease and topics such as Bioinformatics that intersect with problems in Genome-wide association study.
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