Harvard Catalyst Profiles

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

Edward L. Giovannucci, D.Sc., M.D.

Co-Author

This page shows the publications co-authored by Edward Giovannucci and Brenda Birmann.
Connection Strength

2.605
  1. Red blood cell membrane trans fatty acid levels and risk of non-Hodgkin lymphoma: a prospective nested case-control study. Am J Clin Nutr. 2020 12 10; 112(6):1576-1583.
    View in: PubMed
    Score: 0.227
  2. Prediagnosis dietary pattern and survival in patients with multiple myeloma. Int J Cancer. 2020 10 01; 147(7):1823-1830.
    View in: PubMed
    Score: 0.215
  3. Elucidating Under-Studied Aspects of the Link Between Obesity and Multiple Myeloma: Weight Pattern, Body Shape Trajectory, and Body Fat Distribution. JNCI Cancer Spectr. 2019 Sep; 3(3):pkz044.
    View in: PubMed
    Score: 0.205
  4. Dietary Pattern and Risk of Multiple Myeloma in Two Large Prospective US Cohort Studies. JNCI Cancer Spectr. 2019 Jun; 3(2):pkz025.
    View in: PubMed
    Score: 0.203
  5. A prospective analysis of circulating saturated and monounsaturated fatty acids and risk of non-Hodgkin lymphoma. Int J Cancer. 2018 10 15; 143(8):1914-1922.
    View in: PubMed
    Score: 0.193
  6. Pre-diagnosis plasma immune markers and risk of non-Hodgkin lymphoma in two prospective cohort studies. Haematologica. 2018 10; 103(10):1679-1687.
    View in: PubMed
    Score: 0.192
  7. Influence of Dietary Patterns on Plasma Soluble CD14, a Surrogate Marker of Gut Barrier Dysfunction. Curr Dev Nutr. 2017 Nov 01; 1(11).
    View in: PubMed
    Score: 0.183
  8. Dietary fat intake and risk of non-Hodgkin lymphoma in 2 large prospective cohorts. Am J Clin Nutr. 2017 Aug; 106(2):650-656.
    View in: PubMed
    Score: 0.179
  9. Regular aspirin use and risk of multiple myeloma: a prospective analysis in the health professionals follow-up study and nurses' health study. Cancer Prev Res (Phila). 2014 Jan; 7(1):33-41.
    View in: PubMed
    Score: 0.140
  10. A prospective analysis of body size during childhood, adolescence, and adulthood and risk of non-Hodgkin lymphoma. Cancer Prev Res (Phila). 2013 Aug; 6(8):864-73.
    View in: PubMed
    Score: 0.136
  11. Insulin-like growth factor-1- and interleukin-6-related gene variation and risk of multiple myeloma. Cancer Epidemiol Biomarkers Prev. 2009 Jan; 18(1):282-8.
    View in: PubMed
    Score: 0.099
  12. Body mass index, physical activity, and risk of multiple myeloma. Cancer Epidemiol Biomarkers Prev. 2007 Jul; 16(7):1474-8.
    View in: PubMed
    Score: 0.090
  13. Personal use of permanent hair dyes and cancer risk and mortality in US women: prospective cohort study. BMJ. 2020 09 02; 370:m2942.
    View in: PubMed
    Score: 0.056
  14. Association between yogurt consumption and plasma soluble CD14 in two prospective cohorts of US adults. Eur J Nutr. 2021 Mar; 60(2):929-938.
    View in: PubMed
    Score: 0.055
  15. Body mass index throughout adulthood, physical activity, and risk of multiple myeloma: a prospective analysis in three large cohorts. Br J Cancer. 2018 04; 118(7):1013-1019.
    View in: PubMed
    Score: 0.047
  16. Periodontal disease and risk of non-Hodgkin lymphoma in the Health Professionals Follow-Up Study. Int J Cancer. 2017 Mar 01; 140(5):1020-1026.
    View in: PubMed
    Score: 0.043
  17. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia. Nat Commun. 2016 Mar 09; 7:10933.
    View in: PubMed
    Score: 0.041
  18. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes. Hum Mol Genet. 2016 Apr 15; 25(8):1663-76.
    View in: PubMed
    Score: 0.041
  19. A prospective analysis of blood donation history and risk of non-Hodgkin lymphoma. Leuk Lymphoma. 2016; 57(6):1423-8.
    View in: PubMed
    Score: 0.040
  20. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types. J Natl Cancer Inst. 2015 Dec; 107(12):djv279.
    View in: PubMed
    Score: 0.040
  21. A genome-wide association study of marginal zone lymphoma shows association to the HLA region. Nat Commun. 2015 Jan 08; 6:5751.
    View in: PubMed
    Score: 0.038
  22. Genome-wide association study identifies five susceptibility loci for follicular lymphoma outside the HLA region. Am J Hum Genet. 2014 Oct 02; 95(4):462-71.
    View in: PubMed
    Score: 0.037
  23. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma. Nat Genet. 2014 Nov; 46(11):1233-8.
    View in: PubMed
    Score: 0.037
  24. Body size and multiple myeloma mortality: a pooled analysis of 20 prospective studies. Br J Haematol. 2014 Sep; 166(5):667-76.
    View in: PubMed
    Score: 0.036
  25. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia. Nat Genet. 2013 Aug; 45(8):868-76.
    View in: PubMed
    Score: 0.034
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.