Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Frank B. Hu, Ph.D., M.D.

Co-Author

This page shows the publications co-authored by Frank Hu and Oscar Franco.
Connection Strength

2.808
  1. Healthy lifestyle and life expectancy free of cancer, cardiovascular disease, and type 2 diabetes: prospective cohort study. BMJ. 2020 01 08; 368:l6669.
    View in: PubMed
    Score: 0.223
  2. Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population. Circulation. 2018 07 24; 138(4):345-355.
    View in: PubMed
    Score: 0.201
  3. Diet-dependent acid load and type 2 diabetes: pooled results from three prospective cohort studies. Diabetologia. 2017 02; 60(2):270-279.
    View in: PubMed
    Score: 0.179
  4. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet. 2016 08 20; 388(10046):776-86.
    View in: PubMed
    Score: 0.175
  5. Authors' reply to Grant and Garland and to Bolland and colleagues. BMJ. 2014 Apr 29; 348:g2931.
    View in: PubMed
    Score: 0.150
  6. Vitamin D and risk of cause specific death: systematic review and meta-analysis of observational cohort and randomised intervention studies. BMJ. 2014 Apr 01; 348:g1903.
    View in: PubMed
    Score: 0.149
  7. Association between fish consumption, long chain omega 3 fatty acids, and risk of cerebrovascular disease: systematic review and meta-analysis. BMJ. 2012 Oct 30; 345:e6698.
    View in: PubMed
    Score: 0.135
  8. Increased mortality risk in women with depression and diabetes mellitus. Arch Gen Psychiatry. 2011 Jan; 68(1):42-50.
    View in: PubMed
    Score: 0.119
  9. Bidirectional association between depression and type 2 diabetes mellitus in women. Arch Intern Med. 2010 Nov 22; 170(21):1884-91.
    View in: PubMed
    Score: 0.118
  10. Leptin and soluble leptin receptor levels in plasma and risk of type 2 diabetes in U.S. women: a prospective study. Diabetes. 2010 Mar; 59(3):611-8.
    View in: PubMed
    Score: 0.111
  11. Excessive body iron stores are not associated with risk of coronary heart disease in women. J Nutr. 2008 Dec; 138(12):2436-41.
    View in: PubMed
    Score: 0.103
  12. Combined impact of lifestyle factors on mortality: prospective cohort study in US women. BMJ. 2008 Sep 16; 337:a1440.
    View in: PubMed
    Score: 0.102
  13. Dietary patterns and risk of mortality from cardiovascular disease, cancer, and all causes in a prospective cohort of women. Circulation. 2008 Jul 15; 118(3):230-7.
    View in: PubMed
    Score: 0.100
  14. Associations of diabetes mellitus with total life expectancy and life expectancy with and without cardiovascular disease. Arch Intern Med. 2007 Jun 11; 167(11):1145-51.
    View in: PubMed
    Score: 0.093
  15. Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis. BMJ. 2019 07 25; 366:l4292.
    View in: PubMed
    Score: 0.054
  16. A Peripheral Blood DNA Methylation Signature of Hepatic Fat Reveals a Potential Causal Pathway for Nonalcoholic Fatty Liver Disease. Diabetes. 2019 05; 68(5):1073-1083.
    View in: PubMed
    Score: 0.053
  17. A Peripheral Blood DNA Methylation Signature of Hepatic Fat Reveals a Potential Causal Pathway for Non-Alcoholic Fatty Liver Disease. Diabetes. 2019 Feb 22.
    View in: PubMed
    Score: 0.052
  18. Corrigendum: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci Rep. 2017 05 26; 7:46835.
    View in: PubMed
    Score: 0.046
  19. 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Sci Rep. 2017 04 28; 7:45040.
    View in: PubMed
    Score: 0.046
  20. Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study. Clin Epigenetics. 2017; 9:15.
    View in: PubMed
    Score: 0.045
  21. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. J Am Soc Nephrol. 2017 Mar; 28(3):981-994.
    View in: PubMed
    Score: 0.045
  22. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016 Jan 21; 7:10023.
    View in: PubMed
    Score: 0.042
  23. Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians. Am J Clin Nutr. 2015 Nov; 102(5):1266-78.
    View in: PubMed
    Score: 0.041
  24. Association of Cardiometabolic Multimorbidity With Mortality. JAMA. 2015 07 07; 314(1):52-60.
    View in: PubMed
    Score: 0.041
  25. Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry. Hum Mol Genet. 2015 Aug 15; 24(16):4728-38.
    View in: PubMed
    Score: 0.040
  26. FTO genetic variants, dietary intake and body mass index: insights from 177,330 individuals. Hum Mol Genet. 2014 Dec 20; 23(25):6961-72.
    View in: PubMed
    Score: 0.038
  27. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am J Clin Nutr. 2013 Jun; 97(6):1395-402.
    View in: PubMed
    Score: 0.035
  28. Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies. J Nutr. 2013 Mar; 143(3):345-53.
    View in: PubMed
    Score: 0.034
  29. Independent and opposite associations of trunk and leg fat depots with adipokines, inflammatory markers, and metabolic syndrome in middle-aged and older Chinese men and women. J Clin Endocrinol Metab. 2010 Sep; 95(9):4389-98.
    View in: PubMed
    Score: 0.029
  30. Physical activity at midlife in relation to successful survival in women at age 70 years or older. Arch Intern Med. 2010 Jan 25; 170(2):194-201.
    View in: PubMed
    Score: 0.028
  31. Adiposity and weight change in mid-life in relation to healthy survival after age 70 in women: prospective cohort study. BMJ. 2009 Sep 29; 339:b3796.
    View in: PubMed
    Score: 0.027
  32. Associations of physical activity with inflammatory factors, adipocytokines, and metabolic syndrome in middle-aged and older chinese people. Circulation. 2009 Jun 16; 119(23):2969-77.
    View in: PubMed
    Score: 0.027
  33. Plasma 25-hydroxyvitamin D concentration and metabolic syndrome among middle-aged and elderly Chinese individuals. Diabetes Care. 2009 Jul; 32(7):1278-83.
    View in: PubMed
    Score: 0.026
  34. Ferritin concentrations, metabolic syndrome, and type 2 diabetes in middle-aged and elderly chinese. J Clin Endocrinol Metab. 2008 Dec; 93(12):4690-6.
    View in: PubMed
    Score: 0.025
  35. Associations of inflammatory factors with glycaemic status among middle-aged and older Chinese people. Clin Endocrinol (Oxf). 2009 Jun; 70(6):854-62.
    View in: PubMed
    Score: 0.025
  36. Associations of resistin with inflammatory and fibrinolytic markers, insulin resistance, and metabolic syndrome in middle-aged and older Chinese. Eur J Endocrinol. 2008 Nov; 159(5):585-93.
    View in: PubMed
    Score: 0.025
  37. Elevated retinol-binding protein 4 levels are associated with metabolic syndrome in Chinese people. J Clin Endocrinol Metab. 2007 Dec; 92(12):4827-34.
    View in: PubMed
    Score: 0.024
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.