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

3
H-Index
4
Papers
31
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Is robotic lobectomy cheaper? A micro-cost analysis
19 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Royal College of Surgeons in Ireland, Mater Misericordiae University Hospital, St Bartholomew's Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago