What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cancer
- Gene
Loic Le Marchand focuses on Internal medicine, Odds ratio, Genetics, Genome-wide association study and Oncology.
His Internal medicine study often links to related topics such as Genotype.
The study incorporates disciplines such as Gastroenterology, Lung cancer, Case-control study and Confidence interval in addition to Odds ratio.
His Case-control study research focuses on Risk factor and how it connects with Overweight.
His Genome-wide association study research is included under the broader classification of Single-nucleotide polymorphism.
Loic Le Marchand interconnects Epidemiology, Lynch syndrome, Young adult, Microsatellite instability and Prospective cohort study in the investigation of issues within Oncology.
His most cited work include:
- MicroRNA related polymorphisms and breast cancer risk (582 citations)
- Detectable clonal mosaicism from birth to old age and its relationship to cancer (389 citations)
- Identification of seven new prostate cancer susceptibility loci through a genome-wide association study (385 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Internal medicine, Oncology, Cancer, Genome-wide association study and Genetics.
His Internal medicine study frequently involves adjacent topics like Endocrinology.
In his research, Prostate is intimately related to Prostate cancer, which falls under the overarching field of Oncology.
The Cancer study which covers Gerontology that intersects with Obesity.
Single-nucleotide polymorphism covers Loic Le Marchand research in Genome-wide association study.
His study explores the link between Odds ratio and topics such as Confidence interval that cross with problems in Proportional hazards model.
He most often published in these fields:
- Internal medicine (50.06%)
- Oncology (32.35%)
- Cancer (25.54%)
What were the highlights of his more recent work (between 2019-2021)?
- Internal medicine (50.06%)
- Oncology (32.35%)
- Cancer (25.54%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Internal medicine, Oncology, Cancer, Colorectal cancer and Genome-wide association study.
His study in Odds ratio, Confidence interval, Multiethnic cohort, Lung cancer and Breast cancer is done as part of Internal medicine.
His Odds ratio research is multidisciplinary, incorporating perspectives in Epidemiology, Case-control study and Disease.
His Oncology study also includes
- Endometrial cancer which intersects with area such as Ovarian cancer,
- Body mass index which intersects with area such as Obesity.
His research investigates the connection between Cancer and topics such as Cohort that intersect with problems in Family history.
His Genome-wide association study study is within the categories of Single-nucleotide polymorphism and Genetics.
Between 2019 and 2021, his most popular works were:
- Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch Syndrome Database (96 citations)
- Cumulative Burden of Colorectal Cancer Associated Genetic Variants Is More Strongly Associated With Early-Onset vs Late-Onset Cancer (27 citations)
- Physical activity and risks of breast and colorectal cancer : a Mendelian randomisation analysis (21 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Cancer
Loic Le Marchand mostly deals with Internal medicine, Oncology, Cancer, Colorectal cancer and Odds ratio.
His work on Internal medicine is being expanded to include thematically relevant topics such as Genome-wide association study.
His Genome-wide association study research is under the purview of Single-nucleotide polymorphism.
His Oncology research includes themes of Elevated PSA, Multiethnic population, Carcinogenesis, Prostate cancer and Endometrial cancer.
His study in Colorectal cancer is interdisciplinary in nature, drawing from both Mendelian randomization and Mendelian Randomization Analysis.
His Odds ratio study combines topics in areas such as Prospective cohort study, Logistic regression, Case-control study and Disease.
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