Papers

15

Total Citations

473

H-Index

10

About

Lucas Goense is a leading surgical researcher whose work has fundamentally advanced the field of esophageal cancer surgery, particularly through the adoption and refinement of robot-assisted minimally invasive esophagectomy (RAMIE). His research focuses on defining the learning curve for this complex procedure, demonstrating its superiority over both conventional minimally invasive and open techniques. Goense’s landmark contributions include the long-term follow-up of the ROBOT randomized clinical trial, which confirmed that RAMIE offers significantly better short-term postoperative outcomes than open surgery—a finding cited over 69 times. With 141 citations, his study on the learning curve from 312 cases provides a critical roadmap for safe implementation. He has also pioneered the use of indocyanine green fluorescence angiography to assess gastric conduit perfusion in real-time, reducing anastomotic complications, and has conducted cost analyses showing RAMIE’s economic viability. His work on stage-directed individualized therapy and global surgical trends (2022 update) underscores his role in shaping international practice. Goense’s research, with papers accumulating hundreds of citations, has been instrumental in establishing RAMIE as a new standard of care, making esophagectomy safer and more effective for patients worldwide.

Research Focus

Key Achievements

10
H-Index
15
Papers
473
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Learning Curve for Robot-Assisted Minimally Invasive Thoracoscopic Esophagectomy: Results From 312 Cases
141 citations · 2018
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 73
🏛 Institutions: University Medical Center Utrecht, Utrecht University, Heidelberg University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago