Papers

6

Total Citations

94

H-Index

5

About

Malin Brunes is a Swedish gynecological surgeon and clinical researcher whose work centers on minimally invasive surgery, robotic-assisted laparoscopic procedures, and hysterectomy outcomes. Her research has made meaningful contributions to understanding how surgical technique, patient characteristics, and institutional factors influence operative safety and recovery. Brunes's most cited work (49 citations) investigates how obesity affects complication rates in robotic versus conventional hysterectomy, providing evidence-based guidance for managing higher-risk surgical populations. She has also explored how surgeon and hospital volume shape outcomes in robot-assisted versus standard laparoscopic hysterectomy across Sweden, offering valuable insights into the role of experience and institutional capacity in surgical quality. Her 2021 study on cesarean scar pregnancy demonstrated favorable reproductive outcomes following robotic laparoscopic removal with concurrent uterine repair, advancing treatment options for a complex obstetric condition. Beyond large population studies, Brunes has contributed to rarer clinical presentations, including accessory cavitated uterine mass and endometriosis-related hysterectomy complications. Her more recent work on learning curves in robotic hysterectomy addresses the critical question of how many procedures are needed before surgeons achieve consistent, safe performance — a practical resource for training programs. Collectively, her research strengthens the evidence base for minimally invasive gynecological surgery across diverse patient populations.

Research Focus

Key Achievements

5
H-Index
6
Papers
94
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Effects of Obesity on Peri- and Postoperative Outcomes in Patients Undergoing Robotic versus Conventional Hysterectomy
49 citations · 2020
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Stockholm South General Hospital, Karolinska Institutet

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago