Daniah Bu Ali

Tulane University, American University of Paris

Papers

8

Total Citations

91

H-Index

5

About

Daniah Bu Ali is a pioneering surgeon whose work has reshaped the landscape of endocrine surgery, particularly through the advancement of minimally invasive, scarless techniques. Her primary research focuses on robotic and endoscopic approaches to thyroid and parathyroid surgery, with a major contribution being the validation and refinement of remote-access procedures that eliminate visible neck scars. Her most cited work, "Well-differentiated thyroid cancer and robotic transaxillary surgery at a North American institution" (25 citations), established the safety and feasibility of this approach in a Western setting. She has also made seminal contributions to robotic transaxillary parathyroidectomy (17 citations) and robotic retroauricular thyroid surgery (17 citations), demonstrating that these techniques can achieve excellent outcomes while addressing the cosmetic concerns of patients, particularly young women. Her work on gasless trans-axillary robotic thyroidectomy (14 citations) and transoral thyroidectomy (9 citations) further expanded the surgical toolkit, proving that superior visualization and robotic precision can be harnessed through novel access points. Additionally, her research on intraoperative neuromonitoring (5 citations) has improved patient safety by identifying factors that affect nerve monitoring data during surgery. With a cumulative impact of nearly 100 citations, Bu Ali’s work has been instrumental in moving the field toward truly scarless, patient-centered care.

Research Focus

Key Achievements

5
H-Index
8
Papers
91
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Well-differentiated thyroid cancer and robotic transaxillary surgery at a North American institution
25 citations · 2018
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Tulane University, American University of Paris

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago