Hari Nathan

University of Michigan–Ann Arbor

Papers

2

Total Citations

23

H-Index

2

About

Dr. Hari Nathan is a surgical outcomes researcher whose work illuminates the intersection of technology, hospital systems, and cancer care. His primary research areas include robotic surgery utilization, colorectal cancer outcomes, and the application of advanced statistical methods to surgical epidemiology. Dr. Nathan’s most cited work, “Hospital factors strongly influence robotic use in general surgery” (2019, 20 citations), established that institutional characteristics—not just patient needs—drive the adoption of robotic platforms, a finding that has shaped policy discussions on surgical technology diffusion. In his more recent study, “Surgical Approach and Variation in Long-Term Survival Following Colorectal Cancer Surgery Using Instrumental Variable Analysis” (2025, 3 citations), he deployed rigorous causal inference methods to assess whether minimally invasive techniques improve survival after colon and rectal cancer resections, challenging conventional observational findings. This work exemplifies his commitment to methodological rigor in surgical research. Dr. Nathan’s contributions are particularly notable for their potential to guide evidence-based surgical decision-making and healthcare resource allocation, making him a key voice in the ongoing debate over the value of robotic surgery in oncology.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Hospital factors strongly influence robotic use in general surgery
20 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: University of Michigan–Ann Arbor

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago