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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Barry Freedman and Leon Lenchik.
Connection Strength

1.770
  1. Lenchik L, Register TC, Russell GB, Xu J, Smith SC, Bowden DW, Divers J, Freedman BI. Volumetric bone mineral density of the spine predicts mortality in African-American men with type 2 diabetes. Osteoporos Int. 2018 Sep; 29(9):2049-2057.
    View in: PubMed
    Score: 0.639
  2. Tucker BM, Hsu FC, Register TC, Xu J, Smith SC, Murea M, Bowden DW, Freedman BI, Lenchik L. Psoas and Paraspinous Muscle Measurements on Computed Tomography Predict Mortality in European Americans with Type 2 Diabetes Mellitus. J Frailty Aging. 2019; 8(2):72-78.
    View in: PubMed
    Score: 0.166
  3. Murea M, Lenchik L, Register TC, Russell GB, Xu J, Smith SC, Bowden DW, Divers J, Freedman BI. Psoas and paraspinous muscle index as a predictor of mortality in African American men with type 2 diabetes mellitus. J Diabetes Complications. 2018 06; 32(6):558-564.
    View in: PubMed
    Score: 0.157
  4. Chan GC, Divers J, Russell GB, Langefeld CD, Wagenknecht LE, Xu J, Smith SC, Bowden DW, Register TC, Carr JJ, Lenchik L, Freedman BI. Adipose tissue depot volume relationships with spinal trabecular bone mineral density in African Americans with diabetes. PLoS One. 2018; 13(1):e0191674.
    View in: PubMed
    Score: 0.156
  5. Lenchik L, Register TC, Hsu FC, Xu J, Smith SC, Carr JJ, Freedman BI, Bowden DW. Bone Mineral Density of the Radius Predicts All-Cause Mortality in Patients With Type 2 Diabetes: Diabetes Heart Study. J Clin Densitom. 2018 Jul - Sep; 21(3):347-354.
    View in: PubMed
    Score: 0.154
  6. Wagenknecht LE, Divers J, Register TC, Russell GB, Bowden DW, Xu J, Langefeld CD, Lenchik L, Hruska KA, Carr JJ, Freedman BI. Bone Mineral Density and Progression of Subclinical Atherosclerosis in African-Americans With Type 2 Diabetes. J Clin Endocrinol Metab. 2016 11; 101(11):4135-4141.
    View in: PubMed
    Score: 0.141
  7. Register TC, Divers J, Bowden DW, Carr JJ, Lenchik L, Wagenknecht LE, Hightower RC, Xu J, Smith SC, Hruska KA, Langefeld CD, Freedman BI. Relationships between serum adiponectin and bone density, adiposity and calcified atherosclerotic plaque in the African American-Diabetes Heart Study. J Clin Endocrinol Metab. 2013 May; 98(5):1916-22.
    View in: PubMed
    Score: 0.112
  8. Freedman BI, Bowden DW, Ziegler JT, Langefeld CD, Lehtinen AB, Rudock ME, Lenchik L, Hruska KA, Register TC, Carr JJ. Bone morphogenetic protein 7 (BMP7) gene polymorphisms are associated with inverse relationships between vascular calcification and BMD: the Diabetes Heart Study. J Bone Miner Res. 2009 Oct; 24(10):1719-27.
    View in: PubMed
    Score: 0.088
  9. Carr JJ, Register TC, Hsu FC, Lohman K, Lenchik L, Bowden DW, Langefeld CD, Xu J, Rich SS, Wagenknecht LE, Freedman BI. Calcified atherosclerotic plaque and bone mineral density in type 2 diabetes: the diabetes heart study. Bone. 2008 Jan; 42(1):43-52.
    View in: PubMed
    Score: 0.076
  10. Palmer ND, Lu L, Register TC, Lenchik L, Carr JJ, Hicks PJ, Smith SC, Xu J, Dimitrov L, Keaton J, Guan M, Ng MCY, Chen YI, Hanley AJ, Engelman CD, Norris JM, Langefeld CD, Wagenknecht LE, Bowden DW, Freedman BI, Divers J. Genome-wide association study of vitamin D concentrations and bone mineral density in the African American-Diabetes Heart Study. PLoS One. 2021; 16(5):e0251423.
    View in: PubMed
    Score: 0.049
  11. Wheeler GL, Shi R, Beck SR, Langefeld CD, Lenchik L, Wagenknecht LE, Freedman BI, Rich SS, Bowden DW, Chen MY, Carr JJ. Pericardial and visceral adipose tissues measured volumetrically with computed tomography are highly associated in type 2 diabetic families. Invest Radiol. 2005 Feb; 40(2):97-101.
    View in: PubMed
    Score: 0.016
  12. Hsu FC, Lenchik L, Nicklas BJ, Lohman K, Register TC, Mychaleckyj J, Langefeld CD, Freedman BI, Bowden DW, Carr JJ. Heritability of body composition measured by DXA in the diabetes heart study. Obes Res. 2005 Feb; 13(2):312-9.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.