Christopher McGuinness

University of California, San Francisco

Papers

6

Total Citations

138

H-Index

6

About

Christopher McGuinness is a medical physicist whose research sits at the intersection of stereotactic body radiotherapy (SBRT), robotic radiosurgery, and treatment planning optimization. His work has focused primarily on advancing the clinical application of CyberKnife systems, exploring how emerging technologies — particularly multileaf collimator-equipped platforms — can improve treatment precision and patient outcomes across a range of cancers, including brain, prostate, lung, and breast malignancies. McGuinness's most-cited contribution (55 citations) rigorously evaluated the CyberKnife with multileaf collimator for both SBRT and IMRT, providing clinicians with critical evidence for adopting this technology. His investigations into lung tumor motion management have been particularly impactful, demonstrating how real-time tumor tracking reduces radiation pneumonitis risk compared to conventional internal target volume approaches — a clinically meaningful finding for patients with centrally located lung tumors. His development of a novel noncoplanar continuous arc delivery algorithm (CyberArc-m6) further reflects his commitment to improving treatment efficiency without compromising dosimetric quality. Collectively, McGuinness's publications have garnered over 130 citations, establishing him as a meaningful contributor to the growing body of knowledge guiding safe, precise, and efficient robotic radiotherapy delivery in modern radiation oncology practice.

Research Focus

Key Achievements

6
H-Index
6
Papers
138
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Investigating the clinical advantages of a robotic linac equipped with a multileaf collimator in the treatment of brain and prostate cancer patients
55 citations · 2015
📈 Most Prolific Year: 2015 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: University of California, San Francisco

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago