Abdullah Khan
Papers
1
Total Citations
8
H-Index
1
About
Abdullah Khan is a rising surgical researcher whose work centers on the comparative effectiveness of minimally invasive thoracic surgery for non–small cell lung cancer. His most-cited paper, a rigorous systematic review and meta-analysis employing GRADE methodology, directly compares robotic-assisted and video-assisted thoracoscopic lobectomy across surgical quality, perioperative, and oncologic outcomes. This work, published in 2025 and already garnering 8 citations, demonstrates his commitment to evidence-based surgical decision-making and his ability to synthesize complex randomized controlled trial data. By critically evaluating these advanced techniques, Khan provides clinicians with actionable insights into optimizing patient outcomes while balancing technological adoption with proven efficacy. His research sits at the intersection of surgical innovation, oncology, and biostatistics, offering a clear-eyed assessment of emerging technologies. As an early-career investigator, Khan’s focused contributions are shaping the conversation around precision in thoracic surgery, making him a promising voice for students and researchers interested in the future of minimally invasive oncologic care.
Research Focus
Key Achievements
Top Papers
- 1