Harvard Catalyst Profiles

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

David Marc Weinstock, M.D.

Co-Author

This page shows the publications co-authored by David Weinstock and Abner Louissaint.
Connection Strength

1.766
  1. Pediatric-type nodal follicular lymphoma: a biologically distinct lymphoma with frequent MAPK pathway mutations. Blood. 2016 08 25; 128(8):1093-100.
    View in: PubMed
    Score: 0.696
  2. Genomic landscape of cutaneous follicular lymphomas reveals 2 subgroups with clinically predictive molecular features. Blood Adv. 2021 02 09; 5(3):649-661.
    View in: PubMed
    Score: 0.240
  3. Targeted inhibition of CD47-SIRPa requires Fc-Fc?R interactions to maximize activity in T-cell lymphomas. Blood. 2019 10 24; 134(17):1430-1440.
    View in: PubMed
    Score: 0.219
  4. RhoA G17V is sufficient to induce autoimmunity and promotes T-cell lymphomagenesis in mice. Blood. 2018 08 30; 132(9):935-947.
    View in: PubMed
    Score: 0.198
  5. A targeted mutational landscape of angioimmunoblastic T-cell lymphoma. Blood. 2014 Feb 27; 123(9):1293-6.
    View in: PubMed
    Score: 0.146
  6. Reduced Mitochondrial Apoptotic Priming Drives Resistance to BH3 Mimetics in Acute Myeloid Leukemia. Cancer Cell. 2020 12 14; 38(6):872-890.e6.
    View in: PubMed
    Score: 0.059
  7. Cathepsin S Alterations Induce a Tumor-Promoting Immune Microenvironment in Follicular Lymphoma. Cell Rep. 2020 05 05; 31(5):107522.
    View in: PubMed
    Score: 0.057
  8. Duodenal-type and nodal follicular lymphomas differ by their immune microenvironment rather than their mutation profiles. Blood. 2018 10 18; 132(16):1695-1702.
    View in: PubMed
    Score: 0.051
  9. Genomic Analyses Identify Recurrent Alterations in Immune Evasion Genes in Diffuse Large B-Cell Lymphoma, Leg Type. J Invest Dermatol. 2018 11; 138(11):2365-2376.
    View in: PubMed
    Score: 0.050
  10. Targetable vulnerabilities in T- and NK-cell lymphomas identified through preclinical models. Nat Commun. 2018 05 22; 9(1):2024.
    View in: PubMed
    Score: 0.050
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.