Harvard Catalyst Profiles

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

Kevin S. Hughes, M.D.


This page shows the publications co-authored by Kevin Hughes and Kanhua Yin.
Connection Strength

  1. Search Behavior Regarding Cancer Susceptibility Genes Using a Clinical Decision Support Tool for Gene-Specific Penetrance: Content Analysis. JMIR Cancer. 2021 Jul 13; 7(3):e28527.
    View in: PubMed
    Score: 0.947
  2. ASO Author Reflections: Developing a Clinician-Friendly Resource to Promote Awareness of Non-Medullary Thyroid Cancer Susceptibility Genes and Their Associated Diseases. Ann Surg Oncol. 2021 10; 28(11):6601-6602.
    View in: PubMed
    Score: 0.924
  3. Breast imaging, breast surgery, and cancer genetics in the age of COVID-19. Cancer. 2020 10 15; 126(20):4466-4472.
    View in: PubMed
    Score: 0.887
  4. Legacy Genetic Testing Results for Cancer Susceptibility: How Common are Conflicting Classifications in a Large Variant Dataset from Multiple Practices? Ann Surg Oncol. 2020 Jul; 27(7):2212-2220.
    View in: PubMed
    Score: 0.871
  5. Natural language processing to facilitate breast cancer research and management. Breast J. 2020 01; 26(1):92-99.
    View in: PubMed
    Score: 0.850
  6. Penetrance of male breast cancer susceptibility genes: a systematic review. Breast Cancer Res Treat. 2022 Jan; 191(1):31-38.
    View in: PubMed
    Score: 0.241
  7. Second invasive breast cancers in patients treated with breast-conserving therapy. Eur J Surg Oncol. 2021 10; 47(10):2492-2498.
    View in: PubMed
    Score: 0.235
  8. Disease spectrum of gastric cancer susceptibility genes. Med Oncol. 2021 Mar 24; 38(5):46.
    View in: PubMed
    Score: 0.232
  9. Non-medullary Thyroid Cancer Susceptibility Genes: Evidence and Disease Spectrum. Ann Surg Oncol. 2021 Oct; 28(11):6590-6600.
    View in: PubMed
    Score: 0.231
  10. Validation of a Semiautomated Natural Language Processing-Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance. JCO Clin Cancer Inform. 2019 08; 3:1-9.
    View in: PubMed
    Score: 0.207
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.