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Current Problems in Diagnostic Radiology|May 17, 2021
COVID-19 Radiology Preparedness, Challenges & Opportunities: Responses From 18 CountriesBhavya Rehani, Jose A Rodriguez, Jeffers K Nguyen, et al.Frontiers in Bioscience : a Journal and Virtual Library|November 6, 2007
Metalloproteinases and atherothrombosis: MMP-10 mediates vascular remodeling promoted by inflammatory stimuliJose A Rodriguez, Josune Orbe, Sara Martinez de Lizarrondo, et al.Digestive Diseases and Sciences|December 7, 2018
Nonalcoholic Fatty Liver Disease Demonstrates a Pre-fibrotic and Premalignant Molecular SignatureDiego Almanza, Mehrnaz Gharaee-Kermani, Alisa Zhilin-Roth, et al.The Bone & Joint Journal|September 30, 2023
Risk factors for blood transfusion and postoperative anaemia following total knee arthroplastyDavid A Kolin, Peter K Sculco, Alejandro Gonzalez Della Valle, et al.Acta Crystallographica. Section C, Structural Chemistry|February 21, 2025
Fast event-based electron counting for small-molecule structure determination by MicroEDNiko Vlahakis, Songrong Qu, Logan S Richards, et al.Foods (Basel, Switzerland)|August 12, 2022
Antioxidant Effect of Pumpkin Flower (Cucurbita maxima) in Chicken PattiesEva María Santos, Jose A Rodriguez, Jose M Lorenzo, et al.Journal of Vascular Surgery|December 3, 2014
Matrix metalloproteinase 10 is associated with disease severity and mortality in patients with peripheral arterial diseaseEsther Martinez-Aguilar, Violeta Gomez-Rodriguez, Josune Orbe, et al.Food Chemistry|June 30, 2019
A theoretical and experimental approach to evaluate zein-calcium interaction in nixtamalization processCarlos Z Gómez-Castro, Jose A Rodriguez, Julian Cruz-Borbolla, et al.Journal of Bone and Mineral Research : the Official Journal of the American Society for Bone and Mineral Research|February 17, 2012
Biomechanical stimulation of osteoblast gene expression requires phosphorylation of the RUNX2 transcription factorYan Li, Chunxi Ge, Jason P Long, et al.Plos Computational Biology|August 25, 2025
Leveraging structure-informed machine learning for fast steric zipper propensity prediction across whole proteomesSamantha Zink, Songrong Qu, Thomas Holton, et al.Pageof 29