Harvard Catalyst Profiles

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

Neil Everett Martin, M.D.


This page shows the publications co-authored by Neil Martin and Massimo Loda.
Connection Strength

  1. Measuring PI3K Activation: Clinicopathologic, Immunohistochemical, and RNA Expression Analysis in Prostate Cancer. Mol Cancer Res. 2015 Oct; 13(10):1431-40.
    View in: PubMed
    Score: 0.641
  2. Stromal and epithelial transcriptional map of initiation progression and metastatic potential of human prostate cancer. Nat Commun. 2017 09 04; 8(1):420.
    View in: PubMed
    Score: 0.187
  3. Prognostic determinants in prostate cancer. Cancer J. 2011 Nov-Dec; 17(6):429-37.
    View in: PubMed
    Score: 0.124
  4. The role of tumor metabolism as a driver of prostate cancer progression and lethal disease: results from a nested case-control study. Cancer Metab. 2016; 4:22.
    View in: PubMed
    Score: 0.044
  5. Evaluating a 4-marker signature of aggressive prostate cancer using time-dependent AUC. Prostate. 2015 Dec; 75(16):1926-33.
    View in: PubMed
    Score: 0.041
  6. Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues. J Mol Diagn. 2015 Jul; 17(4):374-81.
    View in: PubMed
    Score: 0.040
  7. SPINK1 protein expression and prostate cancer progression. Clin Cancer Res. 2014 Sep 15; 20(18):4904-11.
    View in: PubMed
    Score: 0.037
  8. Modification of the association between obesity and lethal prostate cancer by TMPRSS2:ERG. J Natl Cancer Inst. 2013 Dec 18; 105(24):1881-90.
    View in: PubMed
    Score: 0.036
  9. Protein expression of PTEN, insulin-like growth factor I receptor (IGF-IR), and lethal prostate cancer: a prospective study. Cancer Epidemiol Biomarkers Prev. 2013 Nov; 22(11):1984-93.
    View in: PubMed
    Score: 0.035
  10. The TMPRSS2:ERG rearrangement, ERG expression, and prostate cancer outcomes: a cohort study and meta-analysis. Cancer Epidemiol Biomarkers Prev. 2012 Sep; 21(9):1497-509.
    View in: PubMed
    Score: 0.033
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.