Papers

15

Total Citations

172

H-Index

8

About

Mahir Gachabayov is a leading researcher in the field of robotic colorectal and pancreatic surgery, with a primary focus on optimizing histopathological outcomes and surgical learning curves. His major contributions center on demonstrating that robotic approaches—particularly for pancreaticoduodenectomy and rectal cancer surgery—can yield superior specimen quality, such as higher rates of negative resection margins, compared to traditional open techniques. Through rigorous meta-analyses and pooled analyses, Gachabayov has systematically quantified the impact of the learning curve on key pathology metrics, including circumferential resection margin involvement and mesorectal integrity, providing essential benchmarks for surgical training. His work, which has garnered over 150 citations, also explores patient-specific factors like mesorectal and visceral fat area, offering nuanced insights into surgical planning for challenging cases, such as overweight males with low rectal cancer. Notably, his 2021 meta-analysis on robotic pancreaticoduodenectomy, with 59 citations, stands as a pivotal reference in the field. Beyond technical outcomes, Gachabayov has addressed practical considerations for robotic colorectal surgery during the COVID-19 pandemic, reflecting his commitment to translating evidence into real-world surgical practice.

Research Focus

Key Achievements

8
H-Index
15
Papers
172
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Robotic pancreaticoduodenectomy provides better histopathological outcomes as compared to its open counterpart: a meta-analysis
59 citations · 2021
📈 Most Prolific Year: 2020 (5 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Westchester Medical Center, New York Medical College, State University of New York

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago