Harvard Catalyst Profiles

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Walter C. Willett, Dr.P.H., M.D.

Co-Author

This page shows the publications co-authored by Walter Willett and Lu Qi.
Connection Strength

2.695
  1. Starch Digestion-Related Amylase Genetic Variants, Diet, and Changes in Adiposity: Analyses in Prospective Cohort Studies and a Randomized Dietary Intervention. Diabetes. 2020 09; 69(9):1917-1926.
    View in: PubMed
    Score: 0.229
  2. Improving fruit and vegetable intake attenuates the genetic association with long-term weight gain. Am J Clin Nutr. 2019 09 01; 110(3):759-768.
    View in: PubMed
    Score: 0.217
  3. Improving adherence to healthy dietary patterns, genetic risk, and long term weight gain: gene-diet interaction analysis in two prospective cohort studies. BMJ. 2018 01 10; 360:j5644.
    View in: PubMed
    Score: 0.194
  4. Genetic Susceptibility, Change in Physical Activity, and Long-term Weight Gain. Diabetes. 2017 10; 66(10):2704-2712.
    View in: PubMed
    Score: 0.187
  5. Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies. BMC Med. 2017 05 09; 15(1):97.
    View in: PubMed
    Score: 0.185
  6. Cumulative consumption of branched-chain amino acids and incidence of type 2 diabetes. Int J Epidemiol. 2016 10; 45(5):1482-1492.
    View in: PubMed
    Score: 0.175
  7. Joint association between birth weight at term and later life adherence to a healthy lifestyle with risk of hypertension: a prospective cohort study. BMC Med. 2015 Jul 31; 13:175.
    View in: PubMed
    Score: 0.164
  8. Birth weight and later life adherence to unhealthy lifestyles in predicting type 2 diabetes: prospective cohort study. BMJ. 2015 Jul 21; 351:h3672.
    View in: PubMed
    Score: 0.163
  9. DNA Methylation Variants at HIF3A Locus, B-Vitamin Intake, and Long-term Weight Change: Gene-Diet Interactions in Two U.S. Cohorts. Diabetes. 2015 Sep; 64(9):3146-54.
    View in: PubMed
    Score: 0.161
  10. Dietary phosphatidylcholine intake and type 2 diabetes in men and women. Diabetes Care. 2015 Feb; 38(2):e13-4.
    View in: PubMed
    Score: 0.158
  11. Fried food consumption, genetic risk, and body mass index: gene-diet interaction analysis in three US cohort studies. BMJ. 2014 Mar 19; 348:g1610.
    View in: PubMed
    Score: 0.149
  12. Phobic anxiety symptom scores and incidence of type 2 diabetes in US men and women. Brain Behav Immun. 2014 Feb; 36:176-82.
    View in: PubMed
    Score: 0.145
  13. Sugar-sweetened beverages and genetic risk of obesity. N Engl J Med. 2012 Oct 11; 367(15):1387-96.
    View in: PubMed
    Score: 0.134
  14. Television watching, leisure time physical activity, and the genetic predisposition in relation to body mass index in women and men. Circulation. 2012 Oct 09; 126(15):1821-7.
    View in: PubMed
    Score: 0.134
  15. Associations of dairy intake with risk of mortality in women and men: three prospective cohort studies. BMJ. 2019 11 27; 367:l6204.
    View in: PubMed
    Score: 0.055
  16. Diet quality and genetic association with body mass index: results from 3 observational studies. Am J Clin Nutr. 2018 12 01; 108(6):1291-1300.
    View in: PubMed
    Score: 0.052
  17. Diet, Lifestyle, Biomarkers, Genetic Factors, and Risk of Cardiovascular Disease in the Nurses' Health Studies. Am J Public Health. 2016 Sep; 106(9):1616-23.
    View in: PubMed
    Score: 0.044
  18. Contribution of the Nurses' Health Studies to Uncovering Risk Factors for Type 2 Diabetes: Diet, Lifestyle, Biomarkers, and Genetics. Am J Public Health. 2016 Sep; 106(9):1624-30.
    View in: PubMed
    Score: 0.044
  19. Determinants and Consequences of Obesity. Am J Public Health. 2016 Sep; 106(9):1656-62.
    View in: PubMed
    Score: 0.044
  20. FTO genotype, vitamin D status, and weight gain during childhood. Diabetes. 2014 Feb; 63(2):808-14.
    View in: PubMed
    Score: 0.036
  21. Phobic anxiety is associated with higher serum concentrations of adipokines and cytokines in women with diabetes. Diabetes Care. 2009 May; 32(5):926-31.
    View in: PubMed
    Score: 0.026
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.