scispace - formally typeset
F

Frank B. Hu

Researcher at Harvard University

Publications -  1784
Citations -  295051

Frank B. Hu is an academic researcher from Harvard University. The author has contributed to research in topics: Type 2 diabetes & Diabetes mellitus. The author has an hindex of 250, co-authored 1675 publications receiving 253464 citations. Previous affiliations of Frank B. Hu include Southwest University & Brigham and Women's Hospital.

Papers
More filters
Journal ArticleDOI

Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Cristian Pattaro, +735 more
TL;DR: A meta-analysis of genome-wide association studies for estimated glomerular filtration rate suggests that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.
Journal ArticleDOI

Adherence to the Dietary Guidelines for Americans and risk of major chronic disease in women.

TL;DR: It is suggested that adherence to the 1995 Dietary Guidelines for Americans, as measured by the HEI-f, will have limited benefit in preventing major chronic disease in women.
Journal ArticleDOI

Dietary Linoleic Acid and Risk of Coronary Heart Disease: A Systematic Review and Meta-Analysis of Prospective Cohort Studies

TL;DR: In prospective observational studies, dietary LA intake is inversely associated with CHD risk in a dose–response manner, providing support for current recommendations to replace saturated fat with polyunsaturated fat for primary prevention of CHD.
Journal ArticleDOI

Intake of fruit, vegetables, and fruit juices and risk of diabetes in women.

TL;DR: Consumption of green leafy vegetables and fruit was associated with a lower hazard of diabetes, whereas consumption of fruit juices may be associated with an increased hazard among women.
Journal ArticleDOI

Comparison of Population-Averaged and Subject-Specific Approaches for Analyzing Repeated Binary Outcomes

TL;DR: The authors compare results from stratified analysis, standard logistic models, conditional logistic model, the GEE models, and random-effects models by analyzing a binary outcome from two and seven repeated measurements, respectively.