Yohannes Ghenbot

University of Pennsylvania

Papers

2

Total Citations

11

H-Index

2

About

Yohannes Ghenbot is a rising researcher at the intersection of neurosurgery, neuroprosthetics, and spinal biomechanics. His work spans two transformative frontiers: developing brain–computer interfaces (BCIs) for sensory restoration and advancing minimally invasive spinal surgery through robotic assistance. In his highly cited 2017 paper, Ghenbot explored strategies for autonomous sensor–brain interfaces designed to enable closed-loop sensory reanimation of paralyzed limbs—a foundational contribution to restoring touch and proprioception in patients with spinal cord injury. This work, which integrates intracortical microstimulation (ICMS) with wireless technologies, has garnered 7 citations and laid groundwork for next-generation neuroprosthetic systems. More recently, Ghenbot has focused on clinical translation, authoring a 2022 study on single-position lateral lumbar interbody fusion with robotic assistance. This paper details technical guidelines and early outcomes for a simultaneous anterior–posterior approach, demonstrating how robotics can reduce operative time and improve precision in complex spinal deformity correction. With 4 citations already, this work signals his growing impact in both engineering and surgical practice. Ghenbot’s dual expertise—bridging neural interface design and robotic spinal surgery—positions him as a unique voice in translational neuroscience and orthopedics, with a clear trajectory toward restoring both movement and sensation in patients with neurological injury.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Strategies for Autonomous Sensor–Brain Interfaces for Closed-Loop Sensory Reanimation of Paralyzed Limbs
7 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Pennsylvania

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago