David A. Jaffray

Active 1988–2025

175
Papers
26,445
Citations
96
h-index
159
i10-index

Citations

Citations per year for David A. Jaffray1989: 1 citations1990: 3 citations1991: 2 citations1992: 1 citations1993: 3 citations1994: 1 citations1995: 4 citations1996: 4 citations1997: 3 citations1998: 12 citations1999: 19 citations2000: 48 citations2001: 66 citations2002: 67 citations2003: 109 citations2004: 135 citations2005: 210 citations2006: 259 citations2007: 273 citations2008: 300 citations2009: 187 citations2010: 253 citations2011: 207 citations2012: 244 citations2013: 197 citations2014: 175 citations2015: 205 citations2016: 177 citations2017: 188 citations2018: 196 citations2019: 607 citations2020: 691 citations2021: 688 citations2022: 505 citations2023: 411 citations2024: 645 citations2025: 349 citations2026: 21 citations

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,152 citing papers, 23.7% of this breakdownChina: 999 citing papers, 11% of this breakdownCanada: 615 citing papers, 6.8% of this breakdownGermany: 529 citing papers, 5.8% of this breakdownUnited Kingdom: 495 citing papers, 5.5% of this breakdownNetherlands: 446 citing papers, 4.9% of this breakdownFrance: 313 citing papers, 3.4% of this breakdownItaly: 288 citing papers, 3.2% of this breakdownAustralia: 258 citing papers, 2.8% of this breakdownSwitzerland: 202 citing papers, 2.2% of this breakdownBelgium: 171 citing papers, 1.9% of this breakdownJapan: 167 citing papers, 1.8% of this breakdown
0%23.7%Other 27%

Fields

  • Medicine41.6%
  • Physics and Astronomy27.6%
  • Engineering10.2%
  • Biochemistry, Genetics and Molecular Biology6.2%
  • Computer Science6%
  • Materials Science4.1%
  • Other4.3%

Topics

  • Advanced Radiotherapy Techniques13.7%
  • Medical Imaging Techniques and Applications7.4%
  • Radiation Therapy and Dosimetry6.2%
  • Radiomics and Machine Learning in Medical Imaging4.6%
  • Advanced X-ray and CT Imaging4.5%
  • Nanoplatforms for cancer theranostics3.2%
  • Other60.4%

Coauthors

All papers

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  1. Expanding global access to radiotherapy

    Authors: , , , , , , , , , , , , , , , , , - The Lancet Oncology 2015 cited by 1,085

  2. Radiotherapy for Cancer: Present and Future

    Authors: , , - Advanced Drug Delivery Reviews 2017 cited by 280

  3. Gold nanoparticles for applications in cancer radiotherapy: Mechanisms and recent advancements

    Authors: , , - Advanced Drug Delivery Reviews 2015 cited by 870

  4. Image-guided radiotherapy: from current concept to future perspectives

    Authors: - Nature Reviews Clinical Oncology 2012 cited by 499

  5. On the importance of interpretable machine learning predictions to inform clinical decision making in oncology

    Authors: , , , , - Frontiers in Oncology 2023 cited by 92

  6. Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Amy Spelman, Yasir Y. Elamin, Marcelo V. Negrão, Ferdinandos Skoulidis, Carl M. Gay, Tina Cascone, Mara B. Antonoff, Boris Sepesi, Jeff Lewis, Ignacio I. Wistuba, John D. Hazle, Caroline Chung, David A. Jaffray, Don L. Gibbons, Ara A. Vaporciyan, J Jack Lee, John V. Heymach, Jianjun Zhang, Jia Wu - The Lancet Digital Health 2023 cited by 109

  7. Harnessing progress in radiotherapy for global cancer control

    Authors: , , , - Nature Cancer 2023 cited by 82

  8. Flat-panel cone-beam computed tomography for image-guided radiation therapy

    Authors: , , , - International Journal of Radiation Oncology*Biology*Physics 2002 cited by 1,328

  9. Radiotherapy and theranostics: a Lancet Oncology Commission

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , David A. Jaffray, Peter Knoll, Jolanta Kunikowska, Jason S. Lewis, Yolande Lievens, Miriam Mikhail-Lette, Dennis A. Ostwald, Jatinder Palta, Platon Peristeris, Arthur Accioly Rosa, Soha Ahmed Salem, Marcos Augusto dos Santos, Mike Sathekge, Shyam Kishore Shrivastava, Egor Titovich, Jean-Luc Urbain, Verna Vanderpuye, Richard L. Wahl, Jennifer S. Yu, Mohamed S. Zaghloul, Hongcheng Zhu, Andrew M. Scott - The Lancet Oncology 2024 cited by 120

  10. Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Diagnostics 2023 cited by 99

  11. Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , J. Jack Lee, Ara A. Vaporciyan, Don L. Gibbons, John V. Heymach, Jianjun Zhang, Tina Cascone, Jia Wu - Nature Communications 2024 cited by 85

  12. Vulnerabilities of radiomic signature development: The need for safeguards

    Authors: , , , , , , , , , , - Radiotherapy and Oncology 2018 cited by 317

  13. Radiological tumour classification across imaging modality and histology

    Authors: , , , , , , , , , , , , , , , - Nature Machine Intelligence, Nat. Mach. Intell. 2021 cited by 93

  14. Cone-beam computed tomography with a flat-panel imager: Magnitude and effects of x-ray scatter

    Authors: , - Medical Physics 2001 cited by 609

  15. Artificial intelligence‐based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance

    Authors: , , , , , - Medical Physics 2020 cited by 118

  16. Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method

    Authors: , , , , - Physics in Medicine and Biology 2017 cited by 191

  17. Costs, affordability, and feasibility of an essential package of cancer control interventions in low-income and middle-income countries: key messages from Disease Control Priorities, 3rd edition

    Authors: , , , , , , , , , , , , , , , , , , , - The Lancet 2015 cited by 201

  18. Repeatability and reproducibility of MRI-based radiomic features in cervical cancer

    Authors: , , , , , , , , , , , - Radiotherapy and Oncology 2019 cited by 168

  19. A Phase II Randomized Trial of Chemoradiation with or without Metformin in Locally Advanced Cervical Cancer

    Authors: , , , , , , , , , , , , , , , , , - Clinical Cancer Research 2022 cited by 37

  20. Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ara A. Vaporciyan, Don L. Gibbons, Gregory W. Gladish, John V. Heymach, Carol C. Wu, Jianjun Zhang, Jia Wu - Cell Reports Medicine 2024 cited by 36

  21. Accuracy of finite element model‐based multi‐organ deformable image registration

    Authors: , , , , - Medical Physics 2005 cited by 374

  22. Curative-intent Metastasis-directed Therapies for Molecularly-defined Oligorecurrent Prostate Cancer: A Prospective Phase II Trial Testing the Oligometastasis Hypothesis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - European Urology 2021 cited by 84

  23. A roadmap to clinical trials for FLASH

    Authors: , , , - Medical Physics 2022 cited by 58

  24. The transformation of radiation oncology using real-time magnetic resonance guidance: A review

    Authors: , , , , , , , , , , , , , , , , , , , , - European Journal of Cancer 2019 cited by 182