Stanley Kalata

University of Michigan–Ann Arbor

Papers

4

Total Citations

208

H-Index

3

About

Stanley Kalata is a surgical outcomes researcher whose work is shaping the modern conversation around minimally invasive surgery, particularly in the realms of robotic-assisted procedures and thoracic oncology. His most impactful contribution is a landmark 2023 study, "Comparative Safety of Robotic-Assisted vs Laparoscopic Cholecystectomy," which has garnered 164 citations. This critical analysis directly addresses the rapid adoption of robotic technology, questioning whether its touted technical advantages translate into genuine safety benefits over traditional laparoscopy—a finding that has become essential reading for surgeons and hospital administrators alike. Kalata has further defined the practical challenges of this technology by characterizing the "Learning Curve for Robotic-Assisted Cholecystectomy," providing crucial benchmarks for surgical training and credentialing. In thoracic surgery, his work on lung cancer has been equally influential, with studies evaluating how surgical technique impacts lymph node sampling and pathologic nodal upstaging, as well as optimizing lymph node harvest in sublobar resections. Through these investigations, Kalata provides the evidence-based clarity needed to navigate the evolving landscape of surgical innovation, ensuring that new technologies are adopted not on hype, but on demonstrable patient outcomes.

Research Focus

Key Achievements

3
H-Index
4
Papers
208
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Comparative Safety of Robotic-Assisted vs Laparoscopic Cholecystectomy
164 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Michigan–Ann Arbor

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago