Harvard Catalyst Profiles

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

Patrick Yung Chih Wen, M.D.

Co-Author

This page shows the publications co-authored by Patrick Wen and Rifaquat Rahman.
Connection Strength

2.798
  1. Neurologic Complications of Cranial Radiation Therapy and Strategies to Prevent or Reduce Radiation Toxicity. Curr Neurol Neurosci Rep. 2020 06 29; 20(8):34.
    View in: PubMed
    Score: 0.914
  2. Leveraging external data in the design and analysis of clinical trials in neuro-oncology. Lancet Oncol. 2021 Oct; 22(10):e456-e465.
    View in: PubMed
    Score: 0.249
  3. Prediction of Outcomes with a Computational Biology Model in Newly Diagnosed Glioblastoma Patients Treated with Radiation Therapy and Temozolomide. Int J Radiat Oncol Biol Phys. 2020 11 01; 108(3):716-724.
    View in: PubMed
    Score: 0.226
  4. A Quantitative Framework for Modeling COVID-19 Risk During Adjuvant Therapy Using Published Randomized Trials of Glioblastoma in the Elderly. Neuro Oncol. 2020 Apr 27.
    View in: PubMed
    Score: 0.226
  5. The Impact of T2/FLAIR Evaluation per RANO Criteria on Response Assessment of Recurrent Glioblastoma Patients Treated with Bevacizumab. Clin Cancer Res. 2016 Feb 01; 22(3):575-81.
    View in: PubMed
    Score: 0.165
  6. Incidence, risk factors, and reasons for hospitalization among glioblastoma patients receiving chemoradiation. J Neurooncol. 2015 Aug; 124(1):137-46.
    View in: PubMed
    Score: 0.161
  7. Retrospective study of carmustine or lomustine with bevacizumab in recurrent glioblastoma patients who have failed prior bevacizumab. Neuro Oncol. 2014 Nov; 16(11):1523-9.
    View in: PubMed
    Score: 0.151
  8. Histogram analysis of apparent diffusion coefficient within enhancing and nonenhancing tumor volumes in recurrent glioblastoma patients treated with bevacizumab. J Neurooncol. 2014 Aug; 119(1):149-58.
    View in: PubMed
    Score: 0.149
  9. Recurrent glioblastoma: volumetric assessment and stratification of patient survival with early posttreatment magnetic resonance imaging in patients treated with bevacizumab. Cancer. 2013 Oct 01; 119(19):3479-88.
    View in: PubMed
    Score: 0.141
  10. Glioblastoma Clinical Trials: Current Landscape and Opportunities for Improvement. Clin Cancer Res. 2021 Sep 24.
    View in: PubMed
    Score: 0.062
  11. Designing Clinical Trials for Combination Immunotherapy: A Framework for Glioblastoma. Clin Cancer Res. 2021 Sep 24.
    View in: PubMed
    Score: 0.062
  12. The Use of External Control Data for Predictions and Futility Interim Analyses in Clinical Trials. Neuro Oncol. 2021 Jun 09.
    View in: PubMed
    Score: 0.061
  13. To randomize, or not to randomize, that is the question: using data from prior clinical trials to guide future designs. Neuro Oncol. 2019 10 09; 21(10):1239-1249.
    View in: PubMed
    Score: 0.054
  14. The clinical trials landscape for glioblastoma: is it adequate to develop new treatments? Neuro Oncol. 2018 07 05; 20(8):1034-1043.
    View in: PubMed
    Score: 0.050
  15. Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab. Neuro Oncol. 2017 Nov 29; 19(12):1688-1697.
    View in: PubMed
    Score: 0.048
  16. Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab. Neuro Oncol. 2016 12; 18(12):1680-1687.
    View in: PubMed
    Score: 0.043
  17. Spin-echo echo-planar perfusion prior to chemoradiation is a strong independent predictor of progression-free and overall survival in newly diagnosed glioblastoma. J Neurooncol. 2014 Aug; 119(1):111-9.
    View in: PubMed
    Score: 0.037
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.