Papers

4

Total Citations

164

H-Index

4

About

Daan J. Sikkenk is a surgical researcher whose work is reshaping colorectal cancer surgery through innovation in minimally invasive techniques and intraoperative imaging. His primary research areas include fluorescence-guided surgery, robotic and transanal total mesorectal excision (TME), and the assessment of surgical learning curves. Sikkenk’s most impactful contribution is the landmark AVOID trial (2024, 84 citations), a multicentre, randomised, phase 3 study demonstrating that indocyanine green near-infrared fluorescence bowel perfusion assessment can prevent anastomotic leakage in minimally invasive colorectal surgery—a finding with direct implications for patient safety. He has also made significant contributions to understanding surgical proficiency, authoring a systematic review on learning curves for laparoscopic, robot-assisted, and transanal TME (2022, 38 citations) and a multicentre study on robot-assisted TME learning curves (2023, 28 citations) that integrated procedural and pathological safety metrics. Additionally, his pilot study on robot-assisted fluorescent sentinel lymph node identification in early-stage colon cancer (2023, 14 citations) explores the potential for organ-preserving surgery. With a growing citation record and work published in high-impact surgical journals, Sikkenk is a rising authority in evidence-based, technology-driven colorectal surgery.

Research Focus

Key Achievements

4
H-Index
4
Papers
164
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Indocyanine green near-infrared fluorescence bowel perfusion assessment to prevent anastomotic leakage in minimally invasive colorectal surgery (AVOID): a multicentre, randomised, controlled, phase 3 trial
84 citations · 2024
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 46
🏛 Institutions: Meander Medisch Centrum, University Medical Center Groningen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago