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Michael Elliott Weinblatt, M.D.

Co-Author

This page shows the publications co-authored by Michael Weinblatt and Soumya Raychaudhuri.
Connection Strength

0.597
  1. Mixed-effects association of single cells identifies an expanded effector CD4+ T cell subset in rheumatoid arthritis. Sci Transl Med. 2018 10 17; 10(463).
    View in: PubMed
    Score: 0.201
  2. Genetic variants at CD28, PRDM1 and CD2/CD58 are associated with rheumatoid arthritis risk. Nat Genet. 2009 Dec; 41(12):1313-8.
    View in: PubMed
    Score: 0.108
  3. Common variants at CD40 and other loci confer risk of rheumatoid arthritis. Nat Genet. 2008 Oct; 40(10):1216-23.
    View in: PubMed
    Score: 0.100
  4. Association of response to TNF inhibitors in rheumatoid arthritis with quantitative trait loci for CD40 and CD39. Ann Rheum Dis. 2019 08; 78(8):1055-1061.
    View in: PubMed
    Score: 0.052
  5. Pathologically expanded peripheral T helper cell subset drives B cells in rheumatoid arthritis. Nature. 2017 02 01; 542(7639):110-114.
    View in: PubMed
    Score: 0.045
  6. Genome-wide association study and gene expression analysis identifies CD84 as a predictor of response to etanercept therapy in rheumatoid arthritis. PLoS Genet. 2013 Mar; 9(3):e1003394.
    View in: PubMed
    Score: 0.034
  7. Rheumatoid arthritis risk allele PTPRC is also associated with response to anti-tumor necrosis factor alpha therapy. Arthritis Rheum. 2010 Jul; 62(7):1849-61.
    View in: PubMed
    Score: 0.028
  8. Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci. Nat Genet. 2010 Jun; 42(6):508-14.
    View in: PubMed
    Score: 0.028
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.