Papers

4

Total Citations

136

H-Index

3

About

Jonathan M. Hernandez is a leading figure in the advancement of robotic-assisted thoracic and foregut surgery, with a particular focus on esophageal cancer. His seminal work, "Defining the Learning Curve for Robotic-assisted Esophagogastrectomy," has garnered 112 citations, establishing a critical framework for safely adopting this complex procedure. Hernandez’s research systematically addresses the technical challenges of robotic surgery, as seen in his early work on robotic lobectomy, which helped "flatten the learning curve" for thoracic surgeons. Beyond surgical technique, he is pioneering precision oncology through innovative metabolomic and BH3 profiling of esophageal cancers, aiming to identify which patients will benefit most from neoadjuvant chemoradiotherapy. His case report on a concurrent robotic hiatal hernia repair and lung lobectomy further demonstrates his expertise in managing complex, multi-site pathologies. With a career dedicated to both refining surgical methods and integrating molecular diagnostics, Hernandez’s work directly impacts patient outcomes, reducing complications and personalizing treatment for one of the most challenging malignancies.

Research Focus

Key Achievements

3
H-Index
4
Papers
136
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Defining the Learning Curve for Robotic-assisted Esophagogastrectomy
112 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: University of South Florida, Moffitt Cancer Center, Cancer Institute (WIA)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago