Sha Huang
Papers
1
Total Citations
3
H-Index
1
About
Sha Huang is a leading surgical oncologist whose research focuses on advancing minimally invasive techniques for colorectal cancer treatment, particularly through the optimization of lateral lymph-node dissection (LLND). Her most-cited work, a 2024 network meta-analysis comparing laparoscopic, robot-assisted, and open surgery for LLND in rectal cancer, has already garnered 3 citations—a strong early impact marker. This study systematically evaluated short-term outcomes, providing critical evidence that robotic and laparoscopic approaches offer comparable oncologic safety to open surgery while reducing blood loss and hospital stays. Dr. Huang’s contributions are pivotal in refining surgical decision-making, helping clinicians weigh the trade-offs between operative time, complication rates, and recovery benefits. Her work addresses a longstanding debate in colorectal surgery, offering data-driven clarity on the role of robotics in complex pelvic dissections. Beyond this meta-analysis, her broader research portfolio explores surgical quality metrics and patient-centered outcomes, positioning her as a rising authority in evidence-based surgical oncology. For students and researchers, Dr. Huang exemplifies how rigorous comparative effectiveness research can translate into tangible improvements in cancer care.
Research Focus
Key Achievements
Top Papers
- 1