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
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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.
Score: 0.227
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Prediagnosis dietary pattern and survival in patients with multiple myeloma. Int J Cancer. 2020 10 01; 147(7):1823-1830.
Score: 0.215
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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.
Score: 0.205
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Dietary Pattern and Risk of Multiple Myeloma in Two Large Prospective US Cohort Studies. JNCI Cancer Spectr. 2019 Jun; 3(2):pkz025.
Score: 0.203
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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.
Score: 0.193
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Pre-diagnosis plasma immune markers and risk of non-Hodgkin lymphoma in two prospective cohort studies. Haematologica. 2018 10; 103(10):1679-1687.
Score: 0.192
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Influence of Dietary Patterns on Plasma Soluble CD14, a Surrogate Marker of Gut Barrier Dysfunction. Curr Dev Nutr. 2017 Nov 01; 1(11).
Score: 0.183
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Dietary fat intake and risk of non-Hodgkin lymphoma in 2 large prospective cohorts. Am J Clin Nutr. 2017 Aug; 106(2):650-656.
Score: 0.179
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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.
Score: 0.140
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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.
Score: 0.136
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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.
Score: 0.099
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Body mass index, physical activity, and risk of multiple myeloma. Cancer Epidemiol Biomarkers Prev. 2007 Jul; 16(7):1474-8.
Score: 0.090
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Personal use of permanent hair dyes and cancer risk and mortality in US women: prospective cohort study. BMJ. 2020 09 02; 370:m2942.
Score: 0.056
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Association between yogurt consumption and plasma soluble CD14 in two prospective cohorts of US adults. Eur J Nutr. 2021 Mar; 60(2):929-938.
Score: 0.055
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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.
Score: 0.047
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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.
Score: 0.043
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Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia. Nat Commun. 2016 Mar 09; 7:10933.
Score: 0.041
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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.
Score: 0.041
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A prospective analysis of blood donation history and risk of non-Hodgkin lymphoma. Leuk Lymphoma. 2016; 57(6):1423-8.
Score: 0.040
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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.
Score: 0.040
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A genome-wide association study of marginal zone lymphoma shows association to the HLA region. Nat Commun. 2015 Jan 08; 6:5751.
Score: 0.038
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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.
Score: 0.037
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Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma. Nat Genet. 2014 Nov; 46(11):1233-8.
Score: 0.037
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Body size and multiple myeloma mortality: a pooled analysis of 20 prospective studies. Br J Haematol. 2014 Sep; 166(5):667-76.
Score: 0.036
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Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia. Nat Genet. 2013 Aug; 45(8):868-76.
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.