What is he best known for?
The fields of study he is best known for:
- Gene
- Cancer
- Internal medicine
His primary areas of investigation include Genetics, Genome-wide association study, Breast cancer, Internal medicine and Single-nucleotide polymorphism.
His Genome-wide association study research is multidisciplinary, incorporating elements of Genetic predisposition, Genotyping, Genetic association, Genetic variation and Genetic architecture.
His study in Breast cancer is interdisciplinary in nature, drawing from both Cancer research and GSTP1, Genotype.
His Genotype research is multidisciplinary, incorporating perspectives in Confidence interval and Pathology.
The study incorporates disciplines such as Endocrinology and Oncology in addition to Internal medicine.
The concepts of his Oncology study are interwoven with issues in Gynecology and Hazard ratio.
His most cited work include:
- Large-scale genotyping identifies 41 new loci associated with breast cancer risk (834 citations)
- Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)
- Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. (744 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Internal medicine, Breast cancer, Oncology, Cancer and Single-nucleotide polymorphism.
Qiuyin Cai interconnects Endocrinology and Genotype in the investigation of issues within Internal medicine.
His research investigates the connection with Breast cancer and areas like Cancer research which intersect with concerns in Carcinogenesis.
His work in Oncology covers topics such as Hazard ratio which are related to areas like Proportional hazards model.
His Cancer research incorporates themes from Pathology, Risk factor and Immunology.
His research on Single-nucleotide polymorphism concerns the broader Genetics.
He most often published in these fields:
- Internal medicine (57.69%)
- Breast cancer (39.86%)
- Oncology (34.79%)
What were the highlights of his more recent work (between 2016-2021)?
- Internal medicine (57.69%)
- Oncology (34.79%)
- Breast cancer (39.86%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Internal medicine, Oncology, Breast cancer, Cancer and Lung cancer.
The Oncology study which covers Biomarker that intersects with Pancreatic cancer and Endocrinology.
His Breast cancer study results in a more complete grasp of Genetics.
His study explores the link between Cancer and topics such as Gastroenterology that cross with problems in Colonoscopy.
Qiuyin Cai has researched Lung cancer in several fields, including B vitamins, Inflammation, Logistic regression and Adenocarcinoma.
Genome-wide association study is a subfield of Single-nucleotide polymorphism that Qiuyin Cai explores.
Between 2016 and 2021, his most popular works were:
- Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)
- Association analysis identifies 65 new breast cancer risk loci (569 citations)
- Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. (149 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
Qiuyin Cai spends much of his time researching Internal medicine, Genome-wide association study, Odds ratio, Breast cancer and Genetics.
His Internal medicine research is multidisciplinary, relying on both Single-nucleotide polymorphism and Oncology.
His Single-nucleotide polymorphism study integrates concerns from other disciplines, such as Mendelian randomization and Confidence interval.
Qiuyin Cai combines subjects such as Transcriptome, Genetic model, Medical genetics, Quantitative trait locus and CpG site with his study of Genome-wide association study.
His Odds ratio research incorporates elements of Diabetes mellitus, Endocrinology, Obesity and Cancer.
His studies in Breast cancer integrate themes in fields like RAD51C, Gene, Genetic predisposition and PALB2.
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.
