Papers
7
Total Citations
96
H-Index
6
About
Noel E. Donlon is a surgical researcher whose work sits at the intersection of oncological surgery and evidence-based comparative effectiveness research, with a particular focus on minimally invasive and robotic surgical approaches for gastrointestinal and upper gastrointestinal cancers. His research systematically evaluates open, laparoscopic, hybrid, and robotic techniques across a range of complex oncological procedures, including gastrectomy, esophagectomy, adrenalectomy, and hepatic resection for colorectal metastases. Donlon's most influential contribution to date is his 2023 network meta-analysis comparing surgical strategies for gastric cancer, which has accumulated 44 citations and offers clinicians a rigorous synthesis of randomized trial evidence to guide operative decision-making. Complementing this, his comparative analyses of esophagectomy approaches and adrenalectomy techniques — each drawing on network meta-analytic methodology to simultaneously rank multiple surgical strategies — have further cemented his reputation as a specialist in synthesizing complex surgical evidence. His early institutional work on robotic versus laparoscopic anterior resection for rectal cancer reflects his grounding in real-world surgical outcomes. Across his body of work, Donlon consistently addresses critical gaps where no single trial has previously compared all available surgical approaches, making his research especially valuable for surgeons, guideline developers, and trainees seeking clarity in an evolving operative landscape.
Research Focus
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Top Papers
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