What is she best known for?
The fields of study she is best known for:
Ans M. W. van den Ouweland mainly focuses on Genetics, Breast cancer, Gene, Cancer and Genome-wide association study.
Many of her studies involve connections with topics such as Tuberous sclerosis and Genetics.
Her work deals with themes such as TOX3, Single-nucleotide polymorphism, Case-control study and Oncology, which intersect with Breast cancer.
As a part of the same scientific family, Ans M. W. van den Ouweland mostly works in the field of Gene, focusing on Molecular biology and, on occasion, PKD1, Chromosomal translocation, Polycystin 2, Polycystic kidney disease and Cosmid.
Her Cancer study combines topics in areas such as CHEK2, Kinase activity and PALB2.
Her Genome-wide association study study improves the overall literature in Genotype.
Her most cited work include:
- Genome-wide association study identifies novel breast cancer susceptibility loci (2045 citations)
- Identification of the tuberous sclerosis gene TSC1 on chromosome 9q34 (1330 citations)
- Identification and characterization of the tuberous sclerosis gene on chromosome 16 (1286 citations)
What are the main themes of her work throughout her whole career to date?
Ans M. W. van den Ouweland mostly deals with Genetics, Breast cancer, Internal medicine, Oncology and Gene.
Her work focuses on many connections between Genetics and other disciplines, such as Tuberous sclerosis, that overlap with her field of interest in Genetic counseling.
Her studies deal with areas such as Genome-wide association study, Single-nucleotide polymorphism, Case-control study and Bioinformatics as well as Breast cancer.
Her Internal medicine study incorporates themes from Germline mutation and Endocrinology.
Her work in Oncology covers topics such as CHEK2 which are related to areas like PALB2.
Her Gene study combines topics from a wide range of disciplines, such as Molecular biology and Mutation.
She most often published in these fields:
- Genetics (48.87%)
- Breast cancer (35.34%)
- Internal medicine (27.82%)
What were the highlights of her more recent work (between 2014-2021)?
- Internal medicine (27.82%)
- Genetics (48.87%)
- Oncology (21.80%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Internal medicine, Genetics, Oncology, Breast cancer and Genome-wide association study.
Ans M. W. van den Ouweland combines subjects such as Germline mutation and Gynecology with her study of Internal medicine.
Ans M. W. van den Ouweland interconnects Odds ratio, Cancer, CHEK2, Estrogen receptor and Family history in the investigation of issues within Oncology.
Her Breast cancer research includes themes of Ovarian cancer and Case-control study.
Ans M. W. van den Ouweland is researching Genome-wide association study as part of the investigation of Single-nucleotide polymorphism and Genotype.
Her Molecular biology research incorporates themes from TSC2, Chromosome 22, TSC1 and Tuberous sclerosis.
Between 2014 and 2021, her most popular works were:
- Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants (334 citations)
- Identification of Novel Genetic Markers of Breast Cancer Survival (198 citations)
- Age- and Tumor Subtype–Specific Breast Cancer Risk Estimates for CHEK2*1100delC Carriers (83 citations)
In her most recent research, the most cited papers focused on:
Ans M. W. van den Ouweland focuses on Breast cancer, Internal medicine, Oncology, Genome-wide association study and Routine screening.
Her Breast cancer study frequently links to related topics such as Relative risk.
Her work carried out in the field of Oncology brings together such families of science as Odds ratio, Estrogen receptor, Family history and Disease.
Her Family history research is multidisciplinary, incorporating elements of Cancer, Ovarian cancer, Major gene, Allele and Cohort.
The research on Single-nucleotide polymorphism and Genotype is part of her Genome-wide association study project.
Her Single-nucleotide polymorphism research is multidisciplinary, relying on both Genotyping, Survival analysis and Bioinformatics.
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