Harvard Catalyst Profiles

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

Margaret Ann Shipp, M.D.

Co-Author

This page shows the publications co-authored by Margaret Shipp and Gad Getz.
Connection Strength

1.462
  1. Genomic analyses of PMBL reveal new drivers and mechanisms of sensitivity to PD-1 blockade. Blood. 2019 12 26; 134(26):2369-2382.
    View in: PubMed
    Score: 0.220
  2. Genomic analyses of flow-sorted Hodgkin Reed-Sternberg cells reveal complementary mechanisms of immune evasion. Blood Adv. 2019 12 10; 3(23):4065-4080.
    View in: PubMed
    Score: 0.220
  3. Publisher Correction: Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes. Nat Med. 2018 Aug; 24(8):1292.
    View in: PubMed
    Score: 0.200
  4. Author Correction: Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes. Nat Med. 2018 Aug; 24(8):1290-1291.
    View in: PubMed
    Score: 0.200
  5. Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes. Nat Med. 2018 05; 24(5):679-690.
    View in: PubMed
    Score: 0.197
  6. Targetable genetic features of primary testicular and primary central nervous system lymphomas. Blood. 2016 Feb 18; 127(7):869-81.
    View in: PubMed
    Score: 0.167
  7. Integrative analysis reveals an outcome-associated and targetable pattern of p53 and cell cycle deregulation in diffuse large B cell lymphoma. Cancer Cell. 2012 Sep 11; 22(3):359-72.
    View in: PubMed
    Score: 0.133
  8. Integrative analysis reveals 53BP1 copy loss and decreased expression in a subset of human diffuse large B-cell lymphomas. Oncogene. 2008 Jan 10; 27(3):318-22.
    View in: PubMed
    Score: 0.093
  9. Discovery and prioritization of somatic mutations in diffuse large B-cell lymphoma (DLBCL) by whole-exome sequencing. Proc Natl Acad Sci U S A. 2012 Mar 06; 109(10):3879-84.
    View in: PubMed
    Score: 0.032
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.