What is he best known for?
The fields of study he is best known for:
- Cancer
- Internal medicine
- Gene
His primary areas of study are Breast cancer, Internal medicine, Cancer, Pathology and Genome-wide association study.
His Breast cancer study incorporates themes from Single-nucleotide polymorphism, Genotype, Case-control study and Genetic predisposition.
The various areas that Veli-Matti Kosma examines in his Internal medicine study include Endocrinology and Oncology.
His studies in Cancer integrate themes in fields like Survival rate, Cancer research and PALB2.
His Pathology research focuses on subjects like Survival analysis, which are linked to Melanoma.
His study in Genome-wide association study is interdisciplinary in nature, drawing from both TOX3, Disease, Genetic association and Bioinformatics.
His most cited work include:
- Genome-wide association study identifies novel breast cancer susceptibility loci (2045 citations)
- Large-scale genotyping identifies 41 new loci associated with breast cancer risk (834 citations)
- MicroRNA related polymorphisms and breast cancer risk (582 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Breast cancer, Internal medicine, Pathology, Oncology and Cancer.
Veli-Matti Kosma has researched Breast cancer in several fields, including Single-nucleotide polymorphism, Genome-wide association study and Genotype.
His Internal medicine research is multidisciplinary, incorporating elements of Gastroenterology and Endocrinology.
As a part of the same scientific study, Veli-Matti Kosma usually deals with the Pathology, concentrating on Cancer research and frequently concerns with Carcinogenesis, Metastasis and Tumor suppressor gene.
His Oncology research incorporates elements of Genetic predisposition, Case-control study, Ovarian cancer, Proportional hazards model and Gynecology.
His Stromal cell study combines topics from a wide range of disciplines, such as Cancer cell, Stroma and CD44.
He most often published in these fields:
- Breast cancer (42.05%)
- Internal medicine (39.65%)
- Pathology (35.95%)
What were the highlights of his more recent work (between 2013-2021)?
- Breast cancer (42.05%)
- Oncology (26.80%)
- Internal medicine (39.65%)
In recent papers he was focusing on the following fields of study:
Veli-Matti Kosma mainly investigates Breast cancer, Oncology, Internal medicine, Genome-wide association study and Single-nucleotide polymorphism.
His Breast cancer research is multidisciplinary, relying on both Genotype and Bioinformatics.
His Oncology study integrates concerns from other disciplines, such as Odds ratio, Ovarian cancer, Proportional hazards model, Gynecology and Prospective cohort study.
Veli-Matti Kosma frequently studies issues relating to Pathology and Internal medicine.
Veli-Matti Kosma has included themes like Genetic predisposition, Case-control study, Genotyping, Genetic association and Minor allele frequency in his Genome-wide association study study.
The Single-nucleotide polymorphism study combines topics in areas such as Artificial intelligence, Haplotype and Candidate gene.
Between 2013 and 2021, his most popular works were:
- MicroRNA related polymorphisms and breast cancer risk (582 citations)
- Association analysis identifies 65 new breast cancer risk loci (569 citations)
- Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche (391 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Gene
- Internal medicine
His scientific interests lie mostly in Breast cancer, Genome-wide association study, Internal medicine, Oncology and Genetics.
His research in Breast cancer intersects with topics in Odds ratio, Case-control study, Genotype and Bioinformatics.
The study incorporates disciplines such as Mendelian randomization, Genetic predisposition and Locus in addition to Genome-wide association study.
His Genetic predisposition research includes elements of MiRNA binding, microRNA and Genetic variation.
His study focuses on the intersection of Internal medicine and fields such as Pathology with connections in the field of Cancer.
His work deals with themes such as Tongue, Pancreatic cancer, Proportional hazards model, Stage and Risk factor, which intersect with Oncology.
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.
