Papers

8

Total Citations

96

H-Index

5

About

Stephan Gruessner is a pioneering surgeon-researcher whose work sits at the intersection of robotic surgery, minimally invasive techniques, and surgical innovation. His research has significantly advanced the application of robotic platforms across multiple surgical disciplines, including thoracic, hepatic, esophageal, and gynecologic surgery. Gruessner's most cited work — a 2018 study on robotic transthoracic first-rib resection for Paget–Schroetter syndrome, garnering 47 citations — demonstrated the safety and feasibility of a technically demanding procedure using robotic assistance, offering patients a less invasive alternative for a complex vascular condition. His systematic review of open conversions in robotic liver surgery, with 23 citations, has provided the surgical community with actionable insights to improve operative planning and reduce complication rates in hepatic resections. Beyond technical outcomes, Gruessner has contributed to the broader intellectual landscape of the field through reviews on the history and future of robotic surgery, and has explored cutting-edge applications of machine learning to analyze surgical kinematics. His long-term outcomes data on robotic modified Belsey fundoplication further underscore his commitment to durable, patient-centered solutions. Across his body of work, Gruessner stands as a thoughtful advocate for robotic surgery's expanding role in modern clinical practice.

Research Focus

Key Achievements

5
H-Index
8
Papers
96
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Robotic transthoracic first-rib resection for Paget–Schroetter syndrome
47 citations · 2018
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Banner - University Medical Center Tucson, University of Illinois Chicago

Top Papers

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    History of Robotic Surgery
    6 citations · 2021
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago