What is he best known for?
The fields of study he is best known for:
- Cancer
- Gene
- Internal medicine
William D. Foulkes spends much of his time researching Breast cancer, Internal medicine, Oncology, Cancer and Cancer research.
His research integrates issues of Odds ratio, Gynecology, Ovarian cancer and Risk factor in his study of Breast cancer.
William D. Foulkes has included themes like Surgery and PALB2 in his Internal medicine study.
His work deals with themes such as BRCA mutation, Case-control study, Mammary gland, Gene mutation and Hazard ratio, which intersect with Oncology.
His Cancer research includes themes of Genetic counseling, Prospective cohort study and Carcinoma.
His biological study spans a wide range of topics, including Immunohistochemistry, Pathology, Germline mutation, Phenotype and Tumor suppressor gene.
His most cited work include:
- Triple-negative breast cancer. (2186 citations)
- Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies (782 citations)
- Re: Germline BRCA1 Mutations and a Basal Epithelial Phenotype in Breast Cancer (757 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Internal medicine, Breast cancer, Oncology, Cancer and Genetics.
His studies link Endocrinology with Internal medicine.
His Breast cancer research is multidisciplinary, incorporating perspectives in Odds ratio, Cancer research, PALB2, Ovarian cancer and Gynecology.
His Oncology research incorporates elements of Oophorectomy, BRCA mutation, Tamoxifen, Genetic counseling and Prospective cohort study.
His Cancer research is multidisciplinary, incorporating elements of Allele and Genetic testing.
His Germline research integrates issues from Somatic cell, Small-cell carcinoma and Pathology.
He most often published in these fields:
- Internal medicine (47.08%)
- Breast cancer (48.01%)
- Oncology (38.55%)
What were the highlights of his more recent work (between 2018-2021)?
- Pathology (26.64%)
- Germline (25.23%)
- Internal medicine (47.08%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Pathology, Germline, Internal medicine, Cancer and DICER1 Syndrome.
His work on Embryonal rhabdomyosarcoma, Neoplasm and Thyroid nodules as part of general Pathology research is often related to In patient, thus linking different fields of science.
His Germline study integrates concerns from other disciplines, such as Penetrance, Germline mutation, Somatic cell and Cancer research.
His work deals with themes such as Context and Oncology, which intersect with Internal medicine.
His study in Cancer concentrates on Breast cancer and Cancer cell.
His Breast cancer research focuses on PALB2 and how it connects with Pancreatic cancer.
Between 2018 and 2021, his most popular works were:
- Cancer Risks Associated With Germline PALB2 Pathogenic Variants: An International Study of 524 Families (68 citations)
- Cancer Risks Associated With Germline PALB2 Pathogenic Variants: An International Study of 524 Families (68 citations)
- SMARCA4 loss is synthetic lethal with CDK4/6 inhibition in non-small cell lung cancer. (51 citations)
In his most recent research, the most cited papers focused on:
William D. Foulkes mostly deals with Germline, Cancer, Breast cancer, Pathology and Germline mutation.
His research in Germline intersects with topics in Penetrance, Loss of heterozygosity and Somatic cell.
His study in Cancer is interdisciplinary in nature, drawing from both DNA, Cancer research and Oncology.
His research integrates issues of CHEK2, Missense mutation, FANCM and Gene mutation in his study of Breast cancer.
The concepts of his Pathology study are interwoven with issues in Nasal Chondromesenchymal Hamartoma, Thyroid carcinoma and DICER1 Syndrome.
His research in Internal medicine tackles topics such as PALB2 which are related to areas like Family history, Age of onset, Founder effect and Genetic testing.
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.
