Publications
58
Citations
201
Est. group size
~3
Recurring co-author estimate
Active years
18
Publishing since 2008
Jasleen Kaur studies how brain tumors called gliomas disrupt the surrounding brain tissue, using tools like electrocorticography (recording electrical activity directly from the brain surface), imaging, and molecular analysis. Much of the work focuses on understanding and predicting problems like speech and cognitive difficulties in glioma patients, as well as identifying factors linked to tumor recurrence and survival, including a drug called gabapentin. This research combines clinical neuro-oncology with computational and machine-learning methods to develop better diagnostic and predictive tools for brain tumor patients.
Publication output was modest and fluctuating from 2019-2024 (averaging 4-7 per year) but shows a sharp increase in 2025 with 19 outputs, suggesting a recent surge in research activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Gabapentinoids confer survival benefit in human glioblastoma
Nature Communications · 2025
- User testing of a previsit chatbot developed for population genomic screening and counseling
Journal of Genetic Counseling · 2025
- Aperiodic neural dynamics define a novel signature of glioma-induced excitation-inhibition dysregulation
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- 367 Localization of critical speech areas in glioma-infiltrated brain cortex using local neuronal field potentials via electrocorticography (ECOG)
Journal of Clinical and Translational Science · 2025
- Relationship between aperiodic dynamics and transcriptomic alterations and a neural signature of glioma-induced excitation-inhibition dysregulation.
Journal of Clinical Oncology · 2025
- Leveraging stimulated Raman histology-based cellularity for random forest prediction of glioblastoma recurrence.
Journal of Clinical Oncology · 2025
- Identification of novel electrophysiologic biomarkers of cognition in glioma-infiltrated cortex.
Journal of Clinical Oncology · 2025
- Electrocorticographic Detection of Speech Networks in Glioma-infiltrated Cortex
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Optical Microscopy Predictions of Focal Recurrence in Glioblastoma
medRxiv · 2025
- NCMP-06. A machine learning predictive model of aphasia in patients with diffuse glioma using radiomic, molecular, and clinical features
Neuro-Oncology · 2025
- IMG-124. BrainTRACE enables reliable electrocorticography localization in patients with brain tumors
Neuro-Oncology · 2025
- SURG-57. AI-based quantification of tumor infiltration as a major determinant of glioblastoma recurrence and predictive modeling
Neuro-Oncology · 2025
- BIOM-42. APERIODIC NEURAL DYNAMICS DEFINE A NOVEL SIGNATURE OF GLIOMA-INDUCED EXCITATION-INHIBITION DYSREGULATION
Neuro-Oncology · 2025
- CNSC-97. ELECTROCORTICOGRAPHIC ANALYSIS AND DETECTION OF SPEECH NETWORKS IN GLIOMA-INFILTRATED CORTEX
Neuro-Oncology · 2025
- CNSC-95. GLIOMA-INFILTRATION INDUCES DRUG-RESPONSIVE MULTISCALE REMODELING OF HUMAN CORTICAL CIRCUITRY
Neuro-Oncology · 2025
- Neuro-Oncology×15
- bioRxiv (Cold Spring Harbor Laboratory)×4
- Journal of Clinical Oncology×4
- Pesticide Biochemistry and Physiology×2
- Proceedings of the National Academy of Sciences×1
- Brad Elder
Medicine · The Ohio State University
- Alexander Lee
Medicine · The Ohio State University
- Ajay Patel
Medicine · Indiana University
- Aline Paixão Becker
Medicine · The Ohio State University
- Angela M. Richardson
Medicine · Indiana 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 20, 2026.
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