Mo Dada
Papers
2
Total Citations
15
H-Index
2
About
Mo Dada is a rising surgical researcher whose work centers on the evaluation of robotic surgery and the democratization of research training. Her primary contributions lie in two intersecting areas: the critical appraisal of robot-assisted anti-reflux surgery (RA-ARS) and the development of collaborative, virtual research networks. In her most cited work, a 2022 systematic review with 13 citations, Dada applied the IDEAL Collaboration framework to assess reporting standards in RA-ARS, revealing significant gaps in how surgical innovations are evaluated. This study provides a vital roadmap for improving the transparency and rigor of surgical research. Beyond her own analyses, Dada is a driving force behind the RoboSurg Collaborative, a virtual systematic review network she helped establish to engage students and trainees in surgical research during the COVID-19 pandemic. This initiative, detailed in a 2021 publication, not only facilitated remote training but also created a scalable model for collaborative, multi-center research. By combining methodological scrutiny with a commitment to expanding research access, Dada is shaping a more inclusive and evidence-based future for surgical science.
Research Focus
Key Achievements
Top Papers
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