Harvard Catalyst Profiles

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

Login and Edit functionality is currently unavailable.

Mark Clyde Gebhardt, M.D.

Co-Author

This page shows the publications co-authored by Mark Gebhardt and Jeffrey Goldsmith.
Connection Strength

0.199
  1. Hill KE, Kelly AD, Kuijjer ML, Barry W, Rattani A, Garbutt CC, Kissick H, Janeway K, Perez-Atayde A, Goldsmith J, Gebhardt MC, Arredouani MS, Cote G, Hornicek F, Choy E, Duan Z, Quackenbush J, Haibe-Kains B, Spentzos D. 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: 0.049
  2. Chang CD, Wei J, Goldsmith JD, Gebhardt MC, Wu JS. MRI guided needle localization in a patient with recurrence pleomorphic sarcoma and post-operative scarring. Skeletal Radiol. 2017 Jul; 46(7):975-981.
    View in: PubMed
    Score: 0.048
  3. Kelly AD, Haibe-Kains B, Janeway KA, Hill KE, Howe E, Goldsmith J, Kurek K, Perez-Atayde AR, Francoeur N, Fan JB, April C, Schneider H, Gebhardt MC, Culhane A, Quackenbush J, Spentzos D. MicroRNA paraffin-based studies in osteosarcoma reveal reproducible independent prognostic profiles at 14q32. Genome Med. 2013; 5(1):2.
    View in: PubMed
    Score: 0.036
  4. Fountzilas E, Kelly AD, Perez-Atayde AR, Goldsmith J, Konstantinopoulos PA, Francoeur N, Correll M, Rubio R, Hu L, Gebhardt MC, Quackenbush J, Spentzos D. 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: 0.035
  5. Konstantinopoulos PA, Fountzilas E, Goldsmith JD, Bhasin M, Pillay K, Francoeur N, Libermann TA, Gebhardt MC, Spentzos D. Analysis of multiple sarcoma expression datasets: implications for classification, oncogenic pathway activation and chemotherapy resistance. PLoS One. 2010 Apr 01; 5(4):e9747.
    View in: PubMed
    Score: 0.030
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.