Harvard Catalyst Profiles

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Jan Patrick Oscar Schuemann, Ph.D.

Co-Author

This page shows the publications co-authored by Jan Schuemann and Clemens Grassberger.
Connection Strength

0.957
  1. Pre- and post-treatment image-based dosimetry in90Y-microsphere radioembolization using the TOPAS Monte Carlo toolkit. Phys Med Biol. 2021 Dec 29; 66(24).
    View in: PubMed
    Score: 0.245
  2. Assessing the Clinical Impact of Approximations in Analytical Dose Calculations for Proton Therapy. Int J Radiat Oncol Biol Phys. 2015 Aug 01; 92(5):1157-1164.
    View in: PubMed
    Score: 0.153
  3. Site-specific range uncertainties caused by dose calculation algorithms for proton therapy. Phys Med Biol. 2014 Aug 07; 59(15):4007-31.
    View in: PubMed
    Score: 0.145
  4. TH-A-19A-06: Site-Specific Comparison of Analytical and Monte Carlo Based Dose Calculations. Med Phys. 2014 Jun; 41(6):534.
    View in: PubMed
    Score: 0.145
  5. SU-E-T-500: Pencil-Beam versus Monte Carlo Based Dose Calculation for Proton Therapy Patients with Complex Geometries. Clinical Use of the TOPAS Monte Carlo System. Med Phys. 2012 Jun; 39(6Part18):3820.
    View in: PubMed
    Score: 0.126
  6. End-of-Range Radiobiological Effect on Rib Fractures in Patients Receiving Proton Therapy for Breast Cancer. Int J Radiat Oncol Biol Phys. 2020 07 01; 107(3):449-454.
    View in: PubMed
    Score: 0.054
  7. Computational Modeling and Clonogenic Assay for Radioenhancement of Gold Nanoparticles Using 3D Live Cell Images. Radiat Res. 2018 11; 190(5):558-564.
    View in: PubMed
    Score: 0.048
  8. Automated Monte Carlo Simulation of Proton Therapy Treatment Plans. Technol Cancer Res Treat. 2016 12; 15(6):NP35-NP46.
    View in: PubMed
    Score: 0.040
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.