What is he best known for?
The fields of study he is best known for:
Breast cancer, Genetics, Internal medicine, Cancer and Genome-wide association study are his primary areas of study.
His Breast cancer study integrates concerns from other disciplines, such as Cancer research, Single-nucleotide polymorphism, Genotype and Genetic predisposition.
His Genetics study frequently links to adjacent areas such as Molecular biology.
His studies in Internal medicine integrate themes in fields like Endocrinology, DAX1 and Oncology.
The study incorporates disciplines such as Germline mutation and PALB2 in addition to Cancer.
His Genome-wide association study research includes elements of Mendelian randomization, Enhancer RNAs, Chromatin immunoprecipitation, Disease and Genetic association.
His most cited work include:
- The DNA sequence of the human X chromosome (904 citations)
- A gene (PEX) with homologies to endopeptidases is mutated in patients with X–linked hypophosphatemic rickets (850 citations)
- Large-scale genotyping identifies 41 new loci associated with breast cancer risk (834 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Breast cancer, Genetics, Internal medicine, Oncology and Single-nucleotide polymorphism.
His Breast cancer research includes themes of Cancer research, Genome-wide association study, Ovarian cancer and Genotype.
His research integrates issues of Candidate gene, Endometrial cancer, Genetic association and Genetic predisposition in his study of Genome-wide association study.
His study in Gene, Locus, Allele, Mutation and X chromosome is carried out as part of his Genetics studies.
Alfons Meindl combines subjects such as Germline mutation, Bioinformatics, Gynecology, Proportional hazards model and Prostate cancer with his study of Oncology.
His Single-nucleotide polymorphism research is multidisciplinary, relying on both Haplotype and Hazard ratio.
He most often published in these fields:
- Breast cancer (58.36%)
- Genetics (47.63%)
- Internal medicine (31.86%)
What were the highlights of his more recent work (between 2015-2021)?
- Breast cancer (58.36%)
- Internal medicine (31.86%)
- Oncology (29.02%)
In recent papers he was focusing on the following fields of study:
Alfons Meindl mainly investigates Breast cancer, Internal medicine, Oncology, Genome-wide association study and Genetics.
He interconnects Missense mutation, Cancer research, Single-nucleotide polymorphism and Genetic predisposition in the investigation of issues within Breast cancer.
His work in Internal medicine addresses issues such as CHEK2, which are connected to fields such as PALB2.
The Oncology study combines topics in areas such as Odds ratio, Cancer, Prostate, Prostate cancer and Germline mutation.
As part of the same scientific family, Alfons Meindl usually focuses on Genome-wide association study, concentrating on Endometrial cancer and intersecting with Guideline and Mendelian randomization.
His studies deal with areas such as Disease and Bioinformatics as well as Estrogen receptor.
Between 2015 and 2021, his most popular works were:
- Association analysis identifies 65 new breast cancer risk loci (569 citations)
- RAD51B in Familial Breast Cancer (399 citations)
- Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes (257 citations)
In his most recent research, the most cited papers focused on:
Alfons Meindl focuses on Breast cancer, Oncology, Internal medicine, Genome-wide association study and Genetics.
His research investigates the link between Breast cancer and topics such as Ovarian cancer that cross with problems in Missense mutation.
The various areas that he examines in his Oncology study include Odds ratio, Prostate, CHEK2, Case-control study and Prostate cancer.
His Internal medicine study combines topics from a wide range of disciplines, such as Penetrance and PALB2.
His research in Genome-wide association study intersects with topics in Expression quantitative trait loci, Genetic predisposition and Locus.
The concepts of his Locus study are interwoven with issues in Cancer research, Endometrial cancer, Allele and Genotype.
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.
