José Javier Otero
Neuroscience · The Ohio State University
Publications
196
Citations
3,411
Est. group size
~9
Recurring co-author estimate
Active years
39
Publishing since 1988
José Javier Otero's research combines neuropathology with computational and machine-learning methods to improve diagnosis and understanding of brain tumors (such as glioblastoma and vestibular schwannoma) and neonatal/respiratory neural disorders. His work spans laboratory studies of disease biomarkers and immune/metabolic mechanisms, as well as development of AI and image-analysis tools for interpreting medical images and pathology slides. Note: a few listed titles (e.g., on ocean-bottom seismic surveys) appear unrelated to this research area and may reflect a data-matching issue rather than this PI's actual work.
Publication output was relatively steady from 2017 to 2023 (averaging around 15-20 papers per year) but has declined notably in 2024-2026, suggesting a slowing pace in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Quantitatively Audited Multi-View XAI for Medical Image Classification: Application to MGMT Promoter Methylation
2026
- Intra-slide calibration technology improves immunohistochemical harmonization within and between anatomic pathology laboratories
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Epitranscriptomic analysis reveals clinical and molecular signatures in glioblastoma
Acta Neuropathologica Communications · 2025
- OBN for a passive margin? The streamer to seafloor transition in Guyana
2025
- The Value of Connected Software for Delivering Efficiencies in Ocean Bottom Surveys
2025
- Matrix metalloproteinase 9: An emerging biomarker for classification of adherent vestibular schwannoma
Neuro-Oncology Advances · 2024
- Metabolic trade-offs in Neonatal sepsis triggered by TLR4 and TLR1/2 ligands result in unique dysfunctions in neural breathing circuits
Brain Behavior and Immunity · 2024
- Delineating Brainstem CircRNAs role in Neonatal sepsis
Physiology · 2024
- BIOM-65. ELEVATED MMP9 EXPRESSION IN ADHERENT AND LARGE VESTIBULAR SCHWANNOMAS: A PROMISING THERAPEUTIC TARGET
Neuro-Oncology · 2024
- Approche ensembliste pour la prédiction du statut MGMT chez les patients atteints de GBM
HAL (Le Centre pour la Communication Scientifique Directe) · 2024
- Identifying Tumor Microenvironment Biomarkers in Adherent and Cystic Vestibular Schwannomas
Otology & Neurotology · 2023
- Unsupervised machine learning models reveal predictive clinical markers of glioblastoma patient survival using white blood cell counts prior to initiating chemoradiation
Neuro-Oncology Advances · 2023
- The Cognitive Framework Behind Modern Neuropathology
Archives of Pathology & Laboratory Medicine · 2023
- Web3-based storage solutions for biomedical research and clinical data exchange
Journal of the American Medical Informatics Association · 2023
- Revolutionizing Brain Cancer Diagnosis: Automated Prediction of MGMT Methylation Status using Histological Images
2023
- The FASEB Journal×26
- Journal of Thoracic Oncology×9
- Figshare×5
- Cancer Research×4
- Neuro-Oncology×4
- Catherine Czeisler
Neuroscience · The Ohio State University
- Jessica Blackburn
Neuroscience · The Ohio State University
- Brandon T. Reid
Neuroscience · Purdue University West Lafayette
- Kaitlin E. Carson
Neuroscience · The Ohio State University
- Wesley Wang
Medicine · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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