Papers

5

Total Citations

94

H-Index

3

About

Stephen W. Behrman is a surgical researcher whose work sits at the intersection of minimally invasive surgery, hepatobiliary procedures, and oncological outcomes. His research has made meaningful contributions to understanding one of the most clinically consequential challenges in modern surgery: unplanned conversion from minimally invasive to open procedures. By leveraging large national datasets such as the ACS-NSQIP database, Behrman has systematically identified the predictors and perioperative implications of these conversions during both hepatectomy and pancreatectomy, providing surgeons with evidence-based frameworks for preoperative risk stratification and patient counseling. His most cited work, a 2017 analysis of unplanned conversion during minimally invasive hepatectomy, has garnered 45 citations and remains a foundational reference in the field. A closely related 2018 study examining conversion during minimally invasive pancreatectomy extended this research focus, accumulating 39 citations. More recent investigations into robotic versus laparoscopic approaches for pancreatoduodenectomy reflect his evolving interest in comparative surgical technique and oncological efficacy. Collectively, Behrman's research equips surgical teams with practical, data-driven insights that enhance decision-making and improve outcomes for patients undergoing complex abdominal oncological surgery.

Research Focus

Key Achievements

3
H-Index
5
Papers
94
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Predictors and implications of unplanned conversion during minimally invasive hepatectomy: an analysis of the ACS-NSQIP database
45 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: University of Tennessee Health Science Center, Baptist Memorial Health Care

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago