Universidad Europea de Madrid | Spain
Sara Mogedano-Cruz is a developing scholar in the field of biomedical and clinical sciences, affiliated with the Universidad Europea de Madrid in Villaviciosa de Odón, Spain, where she focuses on anatomical variability, anthropometric modeling, and evidence-based approaches to improving procedural safety. Her research emphasizes the integration of quantitative anatomical assessment into clinical workflows to enhance precision, reduce risk, and support safer invasive procedures. She has contributed to interdisciplinary studies that bridge anatomy, physiotherapy, clinical biomechanics, and medical engineering, strengthening the translation of scientific evidence into patient-centered practice. Her notable work includes the publication Predicting Median Nerve Depth from Anthropometric Features: A Tool for Safer Invasive Procedures, which examines how anthropometric predictors can guide clinicians in estimating nerve depth more accurately. Additionally, she co-authored the case report Percutaneous Peripheral Nerve Stimulation in Chemotherapy-Induced Neuropathy, reflecting her engagement with clinically meaningful interventions and her involvement in research that intersects neuromuscular assessment and oncology-related neuropathy. With five indexed documents and collaborations with national and international researchers, her scholarship is gaining visibility, supported by a growing citation record that underscores the relevance of her work to emerging clinical methodologies. Through her commitment to methodological rigor and multidisciplinary inquiry, she aims to advance innovations that connect anatomical science, clinical decision-making, and technological development for improved patient outcomes and broader societal benefit. Sara Mogedano-Cruz’s academic influence and research productivity are reflected in her metrics: 18 citations, 5 documents, and an h-index of 1.
Profiles: Scopus | ORCID
Featured Publication
1. Mogedano-Cruz, S., González-de-la-Flor, Á., Rodríguez-Anadón, C., Bohn, L., Villafañe, J., & Romero-Morales, C. (2025). Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures. PLoS ONE, 20(8), e0330383. (Cited by: 1).
