Huan Song

Karolinska Institutet, University of Iceland

Papers

5

Total Citations

446

H-Index

5

About

Huan Song is a prominent researcher specializing in minimally invasive surgical techniques, with a particular focus on robot-assisted and robotic surgery in gynaecology. Working primarily within the rigorous framework of Cochrane systematic reviews, Song has made substantial contributions to evaluating the effectiveness and safety of robotic surgical systems for both benign gynaecological conditions and gynaecological cancers — a critical area as these technologies become increasingly integrated into clinical practice. Song's most influential work centers on a series of evolving Cochrane reviews examining robot-assisted surgery in gynaecology, collectively accumulating over 400 citations. The 2014 merged review (134 citations) and its 2019 update (130 citations) represent landmark syntheses of clinical evidence, helping clinicians and policymakers make informed decisions about adopting robotic surgical platforms. An earlier 2012 review specifically addressing benign gynaecological disease (113 citations) further established Song's expertise in this domain. What distinguishes Song's contributions is the iterative, evidence-building nature of this body of work — refining and expanding the evidence base as new trial data emerged. For students and clinicians navigating the rapidly evolving landscape of surgical innovation, Song's systematic reviews remain essential reference points for understanding both the promise and limitations of robotic surgery in women's health.

Research Focus

Key Achievements

5
H-Index
5
Papers
446
Total Citations
89
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted surgery in gynaecology
134 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Karolinska Institutet, University of Iceland

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago