What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Breast cancer, Genetics, Cancer, Internal medicine and Oncology.
His study in Breast cancer is interdisciplinary in nature, drawing from both Ovarian cancer and Genome-wide association study, Genotype, Single-nucleotide polymorphism.
Dominique Stoppa-Lyonnet combines subjects such as Gynecology, Serous fluid and Family history with his study of Ovarian cancer.
His Cancer research includes elements of Odds ratio, Genetic counseling, Cancer research and Endocrinology.
His research on Internal medicine focuses in particular on Risk factor.
The study incorporates disciplines such as Cohort study, Immunology, Gene mutation, Ataxia-telangiectasia and Hazard ratio in addition to Oncology.
His most cited work include:
- LMO2-associated clonal T cell proliferation in two patients after gene therapy for SCID-X1. (3006 citations)
- Genetic Heterogeneity and Penetrance Analysis of the BRCA1 and BRCA2 Genes in Breast Cancer Families (2565 citations)
- Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers (805 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Breast cancer, Genetics, Internal medicine, Oncology and Cancer.
His Breast cancer study combines topics in areas such as Germline mutation, Cancer research, Mutation, Ovarian cancer and Genotype.
His study in Gene, Allele, Mutation, Germline and Exon falls within the category of Genetics.
Internal medicine is often connected to Pathology in his work.
His Oncology study incorporates themes from Genetic predisposition, Ataxia-telangiectasia, Hazard ratio, Family history and Cohort.
Dominique Stoppa-Lyonnet has researched Cancer in several fields, including Genetic counseling, Gynecology and Genetic testing.
He most often published in these fields:
- Breast cancer (69.03%)
- Genetics (52.21%)
- Internal medicine (43.36%)
What were the highlights of his more recent work (between 2018-2021)?
- Breast cancer (69.03%)
- Internal medicine (43.36%)
- Oncology (40.35%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Breast cancer, Internal medicine, Oncology, Genetics and Cancer.
The Breast cancer study combines topics in areas such as Prospective cohort study, Genome-wide association study, FANCM and Mutation.
His Oncology research incorporates elements of Germline mutation, Single-nucleotide polymorphism, Genotype, Hazard ratio and Family history.
His Genetics study frequently links to related topics such as Disease.
His research in the fields of Hereditary Breast Cancer overlaps with other disciplines such as Context.
His work is dedicated to discovering how Gene, Cancer research are connected with Cell, DICER1 Syndrome and microRNA and other disciplines.
Between 2018 and 2021, his most popular works were:
- Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants : An ENIGMA resource to support clinical variant classification (36 citations)
- Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants : An ENIGMA resource to support clinical variant classification (36 citations)
- Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants : An ENIGMA resource to support clinical variant classification (36 citations)
In his most recent research, the most cited papers focused on:
Dominique Stoppa-Lyonnet mainly investigates Breast cancer, Genetics, Computational biology, splice and Genetic analysis.
His Breast cancer study introduces a deeper knowledge of Internal medicine.
His studies in Computational biology integrate themes in fields like DNA binding site, Transcription factor, Genetic association, In silico and DNA sequencing.
The various areas that Dominique Stoppa-Lyonnet examines in his Genetic analysis study include Multifactorial Inheritance, Genetic variability, Mutation and Medical genetics.
Dominique Stoppa-Lyonnet focuses mostly in the field of Oncology, narrowing it down to matters related to Hazard ratio and, in some cases, Single-nucleotide polymorphism.
His research investigates the connection between Risk factor and topics such as Cancer research that intersect with issues in CHEK2.
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