Harvard Catalyst Profiles

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

Jose Carlos Florez, M.D.,Ph.D.

Co-Author

This page shows the publications co-authored by Jose Florez and Susan Cheng.
Connection Strength

0.427
  1. Metabolite traits and genetic risk provide complementary information for the prediction of future type 2 diabetes. Diabetes Care. 2014 Sep; 37(9):2508-14.
    View in: PubMed
    Score: 0.151
  2. An exome array study of the plasma metabolome. Nat Commun. 2016 07 25; 7:12360.
    View in: PubMed
    Score: 0.044
  3. 2-Aminoadipic acid is a biomarker for diabetes risk. J Clin Invest. 2013 Oct; 123(10):4309-17.
    View in: PubMed
    Score: 0.036
  4. A genome-wide association study of the human metabolome in a community-based cohort. Cell Metab. 2013 Jul 02; 18(1):130-43.
    View in: PubMed
    Score: 0.035
  5. A combined epidemiologic and metabolomic approach improves CKD prediction. J Am Soc Nephrol. 2013 Jul; 24(8):1330-8.
    View in: PubMed
    Score: 0.035
  6. Metabolite profiles during oral glucose challenge. Diabetes. 2013 Aug; 62(8):2689-98.
    View in: PubMed
    Score: 0.034
  7. Cardiac natriuretic peptides, obesity, and insulin resistance: evidence from two community-based studies. J Clin Endocrinol Metab. 2011 Oct; 96(10):3242-9.
    View in: PubMed
    Score: 0.031
  8. Metabolite profiles and the risk of developing diabetes. Nat Med. 2011 Apr; 17(4):448-53.
    View in: PubMed
    Score: 0.030
  9. Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans. J Clin Invest. 2011 Apr; 121(4):1402-11.
    View in: PubMed
    Score: 0.030
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.