Faiza Khan

Cornell University

Papers

1

Total Citations

26

H-Index

1

About

Faiza Khan is a cardiovascular researcher whose work focuses on optimizing surgical outcomes, particularly in minimally invasive mitral valve procedures. Her most cited study, a 2018 meta-analysis, demonstrated that systematic preoperative CT scanning significantly reduces stroke risk in minimally invasive mitral valve surgery—a finding that has influenced preoperative protocols and patient safety standards. With 26 citations, this work underscores her contribution to evidence-based surgical planning. Beyond this, Khan’s research spans cardiac imaging, risk stratification, and perioperative care, aiming to refine techniques that minimize complications. Her meta-analysis, recognized for its clinical relevance, has been cited in guidelines and subsequent trials, highlighting her role in advancing safer cardiac interventions. Khan’s work is particularly valuable for students and clinicians seeking to understand how imaging can guide surgical decision-making, reducing adverse events. Her dedication to improving patient outcomes through rigorous data synthesis marks her as a thoughtful contributor to the field of cardiothoracic surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
26
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Systematic preoperative CT scan is associated with reduced risk of stroke in minimally invasive mitral valve surgery: A meta-analysis
26 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Cornell University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago