What is he best known for?
The fields of study he is best known for:
- Cancer
- Internal medicine
- Gene
His main research concerns Internal medicine, Cancer, Oncology, Breast cancer and Leukemia.
His biological study spans a wide range of topics, including Gastroenterology and Immunology.
His work deals with themes such as Odds ratio, Pathology, Cancer research and Chronic lymphocytic leukemia, which intersect with Cancer.
His Pathology research includes themes of Nevus and Dysplastic nevus.
His Oncology study integrates concerns from other disciplines, such as Colorectal cancer, Randomized controlled trial and Risk factor.
He interconnects Gene mutation and Single-nucleotide polymorphism, Genotype in the investigation of issues within Breast cancer.
His most cited work include:
- A study of tumor progression: The precursor lesions of superficial spreading and nodular melanoma (762 citations)
- Origin of familial malignant melanomas from heritable melanocytic lesions. 'The B-K mole syndrome'. (650 citations)
- Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer (406 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Internal medicine, Cancer, Oncology, Breast cancer and Genetics.
Internal medicine is closely attributed to Gynecology in his study.
In his research on the topic of Cancer, Nevus, Dermatology and Hereditary Melanoma is strongly related with Pathology.
His Oncology study combines topics from a wide range of disciplines, such as BRCA mutation, Relative risk, Colorectal cancer, Leukemia and Prostate cancer.
His Breast cancer study combines topics in areas such as Cancer research and Single-nucleotide polymorphism, Genotype.
His research in Ovarian cancer intersects with topics in Gynecologic oncology and Germline mutation.
He most often published in these fields:
- Internal medicine (37.71%)
- Cancer (34.01%)
- Oncology (29.29%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (37.71%)
- Cancer (34.01%)
- Oncology (29.29%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Internal medicine, Cancer, Oncology, Breast cancer and Ovarian cancer.
The concepts of his Cancer study are interwoven with issues in African origin, Gastroenterology, Medical genetics, Benign tumor and Exome.
His Oncology research is multidisciplinary, incorporating elements of Absolute risk reduction, Germline, Heritability, Telomere and Prostate cancer.
His Breast cancer research incorporates themes from Genome-wide association study, Cohort study, Mutation, Prospective cohort study and Risk factor.
His study in Ovarian cancer is interdisciplinary in nature, drawing from both Lung cancer, Gerontology and Obstetrics.
His studies deal with areas such as Logistic regression and Genotype as well as Odds ratio.
Between 2017 and 2021, his most popular works were:
- Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations (100 citations)
- Shared heritability and functional enrichment across six solid cancers (41 citations)
- A transcriptome-wide association study among 97,898 women to identify candidate susceptibility genes for epithelial ovarian cancer risk (23 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Gene
- Internal medicine
His primary areas of investigation include Internal medicine, Oncology, Cancer, Breast cancer and Genome-wide association study.
His research links Gastroenterology with Internal medicine.
The Oncology study combines topics in areas such as Absolute risk reduction, Cohort and Medical genetics.
His research integrates issues of Odds ratio, Serous fluid, Peritoneal Neoplasm and Myotonic dystrophy in his study of Cancer.
His work carried out in the field of Breast cancer brings together such families of science as Prostate cancer, Genetic predisposition and Risk factor.
Mark H. Greene studied Genome-wide association study and Genetic association that intersect with Quantitative trait locus, Locus and Heritability.
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.
