Darrell A. Campbell

University of Michigan–Ann Arbor, Trinity Health Michigan

Papers

5

Total Citations

193

H-Index

5

About

Darrell A. Campbell is a leading figure in minimally invasive gynecologic and transplant surgery, whose work has fundamentally shaped modern surgical practice. His research focuses on optimizing surgical approaches and reducing postoperative complications, particularly in hysterectomy and donor nephrectomy. Campbell’s landmark 2016 study comparing robotic and other minimally invasive hysterectomy routes (73 citations) provided critical evidence for surgical decision-making in benign indications. He further advanced patient safety by demonstrating that metronidazole plus cefazolin significantly reduces surgical site infections after hysterectomy compared to cephalosporin alone (54 citations), a finding that has influenced antibiotic prophylaxis protocols. In transplant surgery, his pioneering work on hand-assisted laparoscopic donor nephrectomy (41 citations) showed comparable donor and recipient outcomes to open surgery while decreasing convalescence and costs—a major contribution to living-donor kidney transplantation. Campbell also investigated hemostatic agent use during hysterectomy, identifying risks for postoperative complications, and contributed to comparative analyses of colorectal outcomes using regional and national databases. With over 193 citations across his most impactful works, Campbell’s legacy lies in his rigorous, evidence-based approach to refining surgical techniques and improving patient outcomes across multiple specialties.

Research Focus

Key Achievements

5
H-Index
5
Papers
193
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of robotic and other minimally invasive routes of hysterectomy for benign indications
73 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: University of Michigan–Ann Arbor, Trinity Health Michigan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago