Papers

3

Total Citations

93

H-Index

3

About

Matthew J. Grosso is a leading orthopedic researcher whose work is transforming our understanding of total knee arthroplasty (TKA). His primary research areas center on the intersection of robotic-assisted surgery, soft tissue biomechanics, and joint balancing. Dr. Grosso’s major contributions include demonstrating that robot-assisted TKA (RA-TKA) significantly improves compartment balancing—a critical factor often overlooked in favor of mere alignment. His landmark 2021 paper (46 citations) established RA-TKA’s superiority in achieving a well-balanced knee throughout the range of motion. Further, his 2024 study (26 citations) revealed the high variability in soft tissue distractibility across different alignment categories, challenging the assumption that alignment alone determines TKA success. This work has profound implications for surgical planning and implant design. His 2020 comparative study (21 citations) showed that short-term outcomes of robotic-arm assisted TKA are comparable to traditional methods, addressing cost-effectiveness in bundled payment models. Dr. Grosso’s research is reshaping how surgeons approach TKA, moving beyond static alignment to dynamic, patient-specific balancing—a paradigm shift that promises better outcomes and fewer revisions for millions of patients worldwide.

Research Focus

Key Achievements

3
H-Index
3
Papers
93
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Improved Compartment Balancing Using Robot-Assisted Total Knee Arthroplasty
46 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Columbia University Irving Medical Center, Joint Replacement Institute, Thomas Jefferson University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago