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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Howard Davidson and John Kappler.

 
Connection Strength
 
 
 
0.272
 
  1. Cepeda JR, Sekhar NS, Han J, Xiong W, Zhang N, Yu L, Dai S, Davidson HW, Kappler JW, An Z, Zhang L. A monoclonal antibody with broad specificity for the ligands of insulin B:9-23 reactive T cells prevents spontaneous type 1 diabetes in mice. MAbs. 2020 Jan-Dec; 12(1):1836714.
    View in: PubMed
    Score: 0.055
  2. Wang Y, Sosinowski T, Novikov A, Crawford F, White J, Jin N, Liu Z, Zou J, Neau D, Davidson HW, Nakayama M, Kwok WW, Gapin L, Marrack P, Kappler JW, Dai S. How C-terminal additions to insulin B-chain fragments create superagonists for T cells in mouse and human type 1 diabetes. Sci Immunol. 2019 04 05; 4(34).
    View in: PubMed
    Score: 0.052
  3. Williams T, Krovi HS, Landry LG, Crawford F, Jin N, Hohenstein A, DeNicola ME, Michels AW, Davidson HW, Kent SC, Gapin L, Kappler JW, Nakayama M. Development of T cell lines sensitive to antigen stimulation. J Immunol Methods. 2018 11; 462:65-73.
    View in: PubMed
    Score: 0.050
  4. Nakayama M, McDaniel K, Fitzgerald-Miller L, Kiekhaefer C, Snell-Bergeon JK, Davidson HW, Rewers M, Yu L, Gottlieb P, Kappler JW, Michels A. Regulatory vs. inflammatory cytokine T-cell responses to mutated insulin peptides in healthy and type 1 diabetic subjects. Proc Natl Acad Sci U S A. 2015 Apr 07; 112(14):4429-34.
    View in: PubMed
    Score: 0.040
  5. Yang J, Chow IT, Sosinowski T, Torres-Chinn N, Greenbaum CJ, James EA, Kappler JW, Davidson HW, Kwok WW. Autoreactive T cells specific for insulin B:11-23 recognize a low-affinity peptide register in human subjects with autoimmune diabetes. Proc Natl Acad Sci U S A. 2014 Oct 14; 111(41):14840-5.
    View in: PubMed
    Score: 0.038
  6. Zhang L, Crawford F, Yu L, Michels A, Nakayama M, Davidson HW, Kappler JW, Eisenbarth GS. Monoclonal antibody blocking the recognition of an insulin peptide-MHC complex modulates type 1 diabetes. Proc Natl Acad Sci U S A. 2014 Feb 18; 111(7):2656-61.
    View in: PubMed
    Score: 0.037
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.

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