Co-Author
This page shows the publications co-authored by Frank Hu and Kenneth Mukamal.
Connection Strength
0.958
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Alcohol consumption, mediating biomarkers, and risk of type 2 diabetes among middle-aged women. Diabetes Care. 2008 Oct; 31(10):2050-5.
Score: 0.096
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Alcohol consumption and type 2 diabetes: influence of genetic variation in alcohol dehydrogenase. Diabetes. 2007 Sep; 56(9):2388-94.
Score: 0.089
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Gut microbiota-derived metabolites and risk of coronary artery disease: a prospective study among US men and women. Am J Clin Nutr. 2021 07 01; 114(1):238-247.
Score: 0.059
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Prospective Study of Skipping Meals to Lose Weight as a Predictor of Incident Type 2 Diabetes With Potential Modification by Cardiometabolic Risk Factors: The Canadian 1995 Nova Scotia Health Survey. Can J Diabetes. 2021 Jun; 45(4):306-312.
Score: 0.056
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Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis. BMJ. 2019 07 25; 366:l4292.
Score: 0.052
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Detection of genetic loci associated with plasma fetuin-A: a meta-analysis of genome-wide association studies from the CHARGE Consortium. Hum Mol Genet. 2017 06 01; 26(11):2156-2163.
Score: 0.045
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Dietary flavonoid intake and weight maintenance: three prospective cohorts of 124,086 US men and women followed for up to 24 years. BMJ. 2016 Jan 28; 352:i17.
Score: 0.041
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Correction: Changes in Intake of Fruits and Vegetables and Weight Change in United States Men and Women Followed for Up to 24 Years: Analysis from Three Prospective Cohort Studies. PLoS Med. 2016 Jan; 13(1):e1001956.
Score: 0.040
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Changes in Intake of Fruits and Vegetables and Weight Change in United States Men and Women Followed for Up to 24 Years: Analysis from Three Prospective Cohort Studies. PLoS Med. 2015 Sep; 12(9):e1001878.
Score: 0.040
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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.
Score: 0.039
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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.
Score: 0.039
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Black-White differences in the relationship between alcohol drinking patterns and mortality among US men and women. Am J Public Health. 2015 Jul; 105 Suppl 3:S534-43.
Score: 0.038
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Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Mol Psychiatry. 2015 May; 20(5):647-656.
Score: 0.037
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Low carbohydrate diet from plant or animal sources and mortality among myocardial infarction survivors. J Am Heart Assoc. 2014 Sep 22; 3(5):e001169.
Score: 0.037
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Dietary fiber intake and mortality among survivors of myocardial infarction: prospective cohort study. BMJ. 2014 Apr 29; 348:g2659.
Score: 0.036
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Better diet quality and decreased mortality among myocardial infarction survivors. JAMA Intern Med. 2013 Oct 28; 173(19):1808-18.
Score: 0.035
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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.
Score: 0.033
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Meta-analysis investigating associations between healthy diet and fasting glucose and insulin levels and modification by loci associated with glucose homeostasis in data from 15 cohorts. Am J Epidemiol. 2013 Jan 15; 177(2):103-15.
Score: 0.033
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Coffee consumption and mortality in women with cardiovascular disease. Am J Clin Nutr. 2011 Jul; 94(1):218-24.
Score: 0.029
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Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med. 2011 Mar 03; 364(9):829-841.
Score: 0.029
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Changes in alcohol consumption and subsequent risk of type 2 diabetes in men. Diabetes. 2011 Jan; 60(1):74-9.
Score: 0.028
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Interactions of dietary whole-grain intake with fasting glucose- and insulin-related genetic loci in individuals of European descent: a meta-analysis of 14 cohort studies. Diabetes Care. 2010 Dec; 33(12):2684-91.
Score: 0.028
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.