Harvard Catalyst Profiles

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

John Quackenbush, Ph.D.

Co-Author

This page shows the publications co-authored by John Quackenbush and Dimitrios Spentzos.
Connection Strength

1.215
  1. MicroRNA-mRNA networks define translatable molecular outcome phenotypes in osteosarcoma. Sci Rep. 2020 03 10; 10(1):4409.
    View in: PubMed
    Score: 0.222
  2. Clinical and Molecular Analysis of Pathologic Fracture-associated Osteosarcoma: MicroRNA profile Is Different and Correlates with Prognosis. Clin Orthop Relat Res. 2019 Sep; 477(9):2114-2126.
    View in: PubMed
    Score: 0.214
  3. An imprinted non-coding genomic cluster at 14q32 defines clinically relevant molecular subtypes in osteosarcoma across multiple independent datasets. J Hematol Oncol. 2017 05 15; 10(1):107.
    View in: PubMed
    Score: 0.183
  4. Next-generation sequencing and microarray-based interrogation of microRNAs from formalin-fixed, paraffin-embedded tissue: preliminary assessment of cross-platform concordance. Genomics. 2013 Jul; 102(1):8-14.
    View in: PubMed
    Score: 0.137
  5. MicroRNA paraffin-based studies in osteosarcoma reveal reproducible independent prognostic profiles at 14q32. Genome Med. 2013; 5(1):2.
    View in: PubMed
    Score: 0.135
  6. A microRNA activity map of human mesenchymal tumors: connections to oncogenic pathways; an integrative transcriptomic study. BMC Genomics. 2012 Jul 23; 13:332.
    View in: PubMed
    Score: 0.131
  7. Integrated analysis of multiple microarray datasets identifies a reproducible survival predictor in ovarian cancer. PLoS One. 2011 Mar 29; 6(3):e18202.
    View in: PubMed
    Score: 0.119
  8. A network model for angiogenesis in ovarian cancer. BMC Bioinformatics. 2015 Apr 11; 16:115.
    View in: PubMed
    Score: 0.039
  9. Stem cell-like gene expression in ovarian cancer predicts type II subtype and prognosis. PLoS One. 2013; 8(3):e57799.
    View in: PubMed
    Score: 0.034
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.