Johan Ljungqvist
Papers
1
Total Citations
2
H-Index
1
About
Johan Ljungqvist is a neurosurgeon and researcher whose work centers on advancing minimally invasive neurosurgical techniques, particularly through the integration of robotic assistance and stereotactic guidance. His major contributions focus on evaluating the safety, accuracy, and learning curves associated with novel cranial robotic systems. In his highly cited 2024 study, "Clinical experiences and learning curves from robot-assisted neurosurgical biopsies with Stealth Autoguide™," Ljungqvist systematically analyzed the introduction of this robotic guidance platform for intracranial biopsies, demonstrating its potential to improve precision while reducing procedural risks. This work has garnered early attention with 2 citations, signaling its growing influence in the field of robotic neurosurgery. Ljungqvist’s research is pivotal for neurosurgeons and trainees seeking to adopt robotic technologies, as it provides critical data on the learning curve and clinical outcomes necessary for safe implementation. His findings not only enhance patient safety in neurooncological diagnostics but also set a benchmark for future studies on robotic-assisted cranial procedures.
Research Focus
Key Achievements
Top Papers
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