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 variants in ABO blood group region, plasma soluble E-selectin levels, and risk of type 2 diabetes
Lu Qi,Marilyn C. Cornelis,Peter Kraft,Majken K. Jensen,Rob M. van Dam,Rob M. van Dam,Qi Sun,Cynthia J. Girman,Cathy C. Laurie,Daniel B. Mirel,David J. Hunter,David J. Hunter,Eric B. Rimm,Eric B. Rimm,Frank B. Hu,Frank B. Hu +15 more
TL;DR: It is indicated that the genetic variants at ABO locus affect plasma sE-selectin levels and diabetes risk, and the genetic associations with diabetes risk were independent of s E- selectin levels.
Journal ArticleDOI
Physical Exertion, Exercise, and Sudden Cardiac Death in Women
William Whang,JoAnn E. Manson,Frank B. Hu,Claudia U. Chae,Kathryn M. Rexrode,Walter C. Willett,Meir J. Stampfer,Christine M. Albert +7 more
TL;DR: Sudden cardiac death during exertion is an extremely rare event in women and regular exercise may significantly minimize this small transient risk and may lower the overall long-term risk of sudden cardiac death.
Journal ArticleDOI
Meta-Analysis of Randomized Controlled Trials of Red Meat Consumption in Comparison With Various Comparison Diets on Cardiovascular Risk Factors
Marta Guasch-Ferré,Marta Guasch-Ferré,Ambika Satija,Stacy A. Blondin,Marie Janiszewski,Ester Emlen,Lauren E O'Connor,Wayne W. Campbell,Frank B. Hu,Frank B. Hu,Walter C. Willett,Walter C. Willett,Meir J. Stampfer,Meir J. Stampfer +13 more
TL;DR: In this article, the authors provide an updated meta-analysis of randomized controlled trials evaluating the effect of red meat on cardiovascular disease risk factors, and provide evidence that red meat consumption is associated with increased risk of heart disease.
Journal ArticleDOI
Biomarkers of Dietary Omega-6 Fatty Acids and Incident Cardiovascular Disease and Mortality: An Individual-Level Pooled Analysis of 30 Cohort Studies
Matti Marklund,Matti Marklund,Jason H Y Wu,Fumiaki Imamura,Liana C Del Gobbo,Amanda M. Fretts,Janette de Goede,Peilin Shi,Nathan L. Tintle,Maria Wennberg,Stella Aslibekyan,Tzu An Chen,Marcia C de Oliveira Otto,Yoichiro Hirakawa,Helle Højmark Eriksen,Janine Kröger,Federica Laguzzi,Maria Lankinen,Rachel A. Murphy,Kiesha Prem,Cécilia Samieri,Jyrki K. Virtanen,Alexis C. Wood,Kerry L. M. Wong,Wei Sin Yang,Xia Zhou,Ana Baylin,J.M.A. Boer,Ingeborg A. Brouwer,Hannia Campos,Paulo H M Chaves,Kuo-Liong Chien,Ulf de Faire,Luc Djoussé,Gudny Eiriksdottir,Naglaa El-Abbadi,Naglaa El-Abbadi,Nita G. Forouhi,J. Michael Gaziano,Johanna M. Geleijnse,Bruna Gigante,Graham G. Giles,Eliseo Guallar,Vilmundur Gudnason,Tamara B. Harris,William S. Harris,Catherine Helmer,Mai Lis Hellénius,Allison M. Hodge,Frank B. Hu,Paul F. Jacques,Paul F. Jacques,Jan-Håkan Jansson,Anya Kalsbeek,Kay-Tee Khaw,Woon-Puay Koh,Markku Laakso,Karin Leander,Hung-Ju Lin,Lars Lind,Robert Luben,Juhua Luo,Barbara McKnight,Jaakko Mursu,Toshiharu Ninomiya,Kim Overvad,Kim Overvad,Bruce M. Psaty,Bruce M. Psaty,Eric B. Rimm,Matthias B. Schulze,David S. Siscovick,Michael S. Nielsen,Albert V. Smith,Brian T. Steffen,Lyn M. Steffen,Qi Sun,Johan Sundström,Michael Y. Tsai,Hugh Tunstall-Pedoe,Matti Uusitupa,Rob M. van Dam,Jenna Veenstra,W. M. Monique Verschuren,Nicholas J. Wareham,Walter C. Willett,Mark Woodward,Mark Woodward,Mark Woodward,Jian-Min Yuan,Renata Micha,Rozenn N. Lemaitre,Dariush Mozaffarian,Ulf Risérus +93 more
TL;DR: In this paper, the authors evaluated how in vivo circulating and tissue levels of linoleic acid (LA) and arachidonic acid (AA) relate to incident cardiovascular disease (CVD) across multiple international studies.
Journal ArticleDOI
Use of Metabolomics in Improving Assessment of Dietary Intake
TL;DR: Nutritional metabolomics holds promise for the development of a robust and unbiased strategy for measuring diet, and is intended to be complementary, rather than a replacement, to traditional well-validated dietary assessment methods such as food frequency questionnaires that can measure usual diet.