Danjouma Cheufou
Ruhrlandklinik, University of Duisburg-Essen, Klinikum Würzburg Mitte
Papers
5
Total Citations
234
H-Index
4
About
Danjouma Cheufou is a pioneering thoracic surgeon whose research focuses on advancing robotic-assisted surgery for lung cancer treatment and expanding its applications into biofabrication. His most impactful work includes a 2019 study with 125 citations demonstrating that robotic lobectomy yields comparable pathologic nodal upstaging to video-assisted thoracoscopic and open approaches, validating its oncologic efficacy. Cheufou also showed that robotic thoracic surgery significantly reduces hospital stay and postoperative pain compared to open thoracotomy, as evidenced by a 2017 matched-pairs analysis (52 citations). His 2018 analysis of the learning curve in a high-volume center (42 citations) established that surgeons can achieve proficiency in robotic lobectomy within a manageable case volume, facilitating broader adoption. More recently, Cheufou has ventured into innovative territory with ReBiA—Robotic Enabled Biological Automation, a 2024 study (13 citations) exploring 3D epithelial tissue production as an alternative to animal testing. He also authored "The 7 Pillars of Proctorship in Robotic Thoracic Surgery" (2024), providing a structured blueprint for training new robotic surgeons. Through these contributions, Cheufou has shaped modern thoracic surgery by combining clinical outcomes research with forward-thinking automation and education.
Research Focus
Key Achievements
Top Papers
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- 4ReBiA—Robotic Enabled Biological Automation: 3D Epithelial Tissue Production13 citations · 2024
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