Papers
2
Total Citations
43
H-Index
2
About
Yihui Liu’s research bridges two distinct but equally impactful fields: the clinical application of robotic surgery in oncology and the computational analysis of cellular morphology. In a landmark 2022 study, Liu led a rigorous evaluation of robotic versus laparoscopic total mesorectal excision for rectal cancer, specifically focusing on the recovery of genitourinary function—a critical quality-of-life outcome often overshadowed by oncological metrics. This work, which has garnered 25 citations, provided nuanced evidence that helps clarify the controversial role of robotic technology in preserving postoperative function, offering surgeons data-driven guidance for treatment selection. Earlier in their career, Liu made a significant contribution to high-throughput biology by developing a novel digital image analysis method for measuring the morphological features of budding yeast (Saccharomyces cerevisiae) during exponential and stationary phases. This 2011 study, cited 18 times, automated the quantification of cell shape and size, enabling more precise phenotyping in systems biology. By combining surgical outcomes research with computational cell biology, Liu demonstrates a rare versatility, applying quantitative rigor from the microscopic level of yeast cells to the macroscopic challenges of surgical recovery.
Research Focus
Key Achievements
Top Papers
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