Vikrant Bhatnagar

Yale University

Papers

1

Total Citations

42

H-Index

1

About

Dr. Vikrant Bhatnagar has made significant contributions to the field of thoracic surgery, with a particular focus on advancing minimally invasive techniques. His research centers on the learning curve associated with robot-assisted thoracoscopic lobectomy, a complex procedure for lung cancer treatment. His most-cited work, "Defining the learning curve in robot-assisted thoracoscopic lobectomy" (2018), with 42 citations, is a pivotal study that systematically quantifies the number of cases required for surgeons to achieve proficiency. This work has directly influenced surgical training protocols and patient safety standards, helping to standardize robotic thoracic surgery. Dr. Bhatnagar’s impact extends beyond this paper, as his research has shaped how institutions implement and evaluate robotic programs. His contributions are particularly notable for bridging the gap between surgical innovation and practical education, ensuring that new technologies are adopted safely. For students and researchers, his work exemplifies how rigorous analysis of procedural learning curves can improve clinical outcomes and surgical training.

Research Focus

Key Achievements

1
H-Index
1
Papers
42
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Defining the learning curve in robot-assisted thoracoscopic lobectomy
42 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Yale University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago