Papers
4
Total Citations
31
H-Index
3
About
Ben Shanahan is a thoracic surgeon and researcher whose work centers on the cost-effectiveness, technical innovation, and training paradigms in robotic thoracic surgery, particularly for lung cancer. His major contributions include a landmark micro-cost analysis of robotic lobectomy, which challenged assumptions about cost drivers by meticulously breaking down capital, operative, and postoperative expenses. This study, with 19 citations, provides crucial data for hospital administrators and surgeons weighing the adoption of robotic-assisted thoracic surgery (RATS). Shanahan has also advanced the field of robotic sleeve lobectomy, highlighting recent technical refinements that expand the scope of minimally invasive resections for non-small cell lung cancer. His work on the rise of robotic thoracoscopic surgery contextualizes the rapid adoption of these platforms. Notably, his 2024 study on a robotic thoracic fellowship programme demonstrates that structured training can produce safe, effective surgeons, addressing a critical workforce need. With a growing citation impact and a focus on translating surgical innovation into practical, evidence-based improvements, Shanahan is shaping the next generation of thoracic surgical practice.
Research Focus
Key Achievements
Top Papers
- 1Is robotic lobectomy cheaper? A micro-cost analysis19 citations · 2022
- 2Robotic sleeve lobectomy-recent advances8 citations · 2019
- 3Thoracoscopic surgery in lung cancer: the rise of the robot3 citations · 2023
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