What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cancer
- Gene
Hui Cai mostly deals with Cohort study, Prospective cohort study, Breast cancer, Internal medicine and Gerontology.
The various areas that Hui Cai examines in his Cohort study study include Cruciferous vegetables, Food science, Cancer Death Rate, Hazard ratio and Cohort.
The Prospective cohort study study combines topics in areas such as Body mass index, Relative risk, Physiology and Risk factor.
Hui Cai interconnects Single-nucleotide polymorphism, Genetic association and Genotype in the investigation of issues within Breast cancer.
His work carried out in the field of Internal medicine brings together such families of science as Endocrinology and Oncology.
His Gerontology research integrates issues from Obesity, Epidemiology, Environmental health, Demography and Proportional hazards model.
His most cited work include:
- Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults (2180 citations)
- Large-scale genotyping identifies 41 new loci associated with breast cancer risk (834 citations)
- Association analysis identifies 65 new breast cancer risk loci (569 citations)
What are the main themes of his work throughout his whole career to date?
Hui Cai focuses on Internal medicine, Breast cancer, Prospective cohort study, Cohort study and Cancer.
His study in Internal medicine is interdisciplinary in nature, drawing from both Endocrinology, Gynecology and Oncology.
Hui Cai has included themes like Risk factor, Pathology, Allele and Genotype in his Breast cancer study.
As part of the same scientific family, he usually focuses on Prospective cohort study, concentrating on Hazard ratio and intersecting with Proportional hazards model, Survival rate and Surgery.
The study incorporates disciplines such as Epidemiology, Gerontology, Environmental health, Demography and Lung cancer in addition to Cohort study.
His biological study spans a wide range of topics, including Anthropometry and Obesity.
He most often published in these fields:
- Internal medicine (44.86%)
- Breast cancer (29.60%)
- Prospective cohort study (25.86%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (44.86%)
- Hazard ratio (20.87%)
- Prospective cohort study (25.86%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Internal medicine, Hazard ratio, Prospective cohort study, Demography and Cohort study.
His Internal medicine research is multidisciplinary, incorporating elements of Gastroenterology and Oncology.
His work deals with themes such as Diabetes mellitus, Case-control study, Green tea, Vitamin and Physiology, which intersect with Prospective cohort study.
His research on Demography also deals with topics like
- Body mass index which intersects with area such as Obesity, Malnutrition and Anthropometry,
- Cohort that connect with fields like Relative risk.
His Cohort study research incorporates elements of Environmental health, Polyunsaturated fatty acid, Lung cancer, Type 2 diabetes and Depression.
Much of his study explores Breast cancer relationship to Risk factor.
Between 2017 and 2021, his most popular works were:
- Imaging of pure spin-valley diffusion current in WS2-WSe2 heterostructures (86 citations)
- Optical spectroscopy of excited exciton states in MoS 2 monolayers in van der Waals heterostructures (66 citations)
- Observation of bosonic condensation in a hybrid monolayer MoSe2-GaAs microcavity. (35 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cancer
- Gene
Hui Cai spends much of his time researching Demography, Exciton, Cohort study, Condensed matter physics and Monolayer.
His Demography research includes elements of Body mass index, Disease, Hazard ratio, Cohort and Pooled analysis.
In his study, Obesity, Peer review and Anthropometry is inextricably linked to Weight gain, which falls within the broad field of Body mass index.
His research in Cohort study intersects with topics in Prospective cohort study and Type 2 diabetes.
In his study, which falls under the umbrella issue of Proportional hazards model, Gene expression profiling, Survival analysis, Triple Negative Breast Neoplasms and Breast cancer is strongly linked to Confidence interval.
His work in Cancer addresses issues such as False discovery rate, which are connected to fields such as Internal medicine and Oncology.
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