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 Shuji Ogino.
Connection Strength

1.092
  1. Proceedings of the fourth international molecular pathological epidemiology (MPE) meeting. Cancer Causes Control. 2019 Aug; 30(8):799-811.
    View in: PubMed
    Score: 0.209
  2. Correction: Gene Regulatory Network Analysis Identifies Sex-Linked Differences in Colon Cancer Drug Metabolism. Cancer Res. 2019 Apr 15; 79(8):2084.
    View in: PubMed
    Score: 0.208
  3. Gene Regulatory Network Analysis Identifies Sex-Linked Differences in Colon Cancer Drug Metabolism. Cancer Res. 2018 10 01; 78(19):5538-5547.
    View in: PubMed
    Score: 0.201
  4. Proceedings of the third international molecular pathological epidemiology (MPE) meeting. Cancer Causes Control. 2017 02; 28(2):167-176.
    View in: PubMed
    Score: 0.178
  5. Novel application of structural equation modeling to correlation structure analysis of CpG island methylation in colorectal cancer. Am J Pathol. 2010 Dec; 177(6):2731-40.
    View in: PubMed
    Score: 0.116
  6. Comprehensive biostatistical analysis of CpG island methylator phenotype in colorectal cancer using a large population-based sample. PLoS One. 2008; 3(11):e3698.
    View in: PubMed
    Score: 0.101
  7. Biomarker correlation network in colorectal carcinoma by tumor anatomic location. BMC Bioinformatics. 2017 Jun 17; 18(1):304.
    View in: PubMed
    Score: 0.046
  8. Expression profiling of archival tumors for long-term health studies. Clin Cancer Res. 2012 Nov 15; 18(22):6136-46.
    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.