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About the database ScholarIQanswers from OpenAlex & ORCID
How has Michael Balas's publication output changed over time?
ScholarIQpublication output · 2019–2025
Output grew0% over the shown period — from 1 works in 2019 to 1 in 2025.
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2019202020212022202320242025
What are the most-cited papers on Michael Balas?
ScholarIQmost cited works
Distinct regional ontogeny and activation of tumor associated macrophages in human glioblastoma
Alexander Landry, Michael Balas, Saira Alli, Julian Spears, Zsolt Zádor
Scientific Reports. 2020116 CitationsOPEN ACCESS
Conversational AI Models for ophthalmic diagnosis: Comparison of ChatGPT and the Isabel Pro Differential Diagnosis Generator
Michael Balas, Edsel Ing
JFO Open Ophthalmology. 2023116 CitationsOPEN ACCESS
Minimally Invasive Glaucoma Surgery: A Review of the Literature
Michael Balas, David J. Mathew
S4210191559. 202395 CitationsOPEN ACCESS
Earlier Surgery Reduces Complications in Acute Traumatic Thoracolumbar Spinal Cord Injury: Analysis of a Multi-Center Cohort of 4108 Patients
Michael Balas, Matthew P. Guttman, Jetan H. Badhiwala, Gerald Lebovic, Avery B. Nathens, Leodante da Costa, Zsolt Zádor, Julian Spears, Michael G. Fehlings, Jefferson R. Wilson, Christopher D. Witiw
Journal of Neurotrauma. 202155 Citations
Selective peripheral nerve recordings from nerve cuff electrodes using convolutional neural networks
Ryan G. L. Koh, Michael Balas, Adrian Nachman, José Zariffa
Journal of Neural Engineering. 201947 CitationsOPEN ACCESS
Related on ScholarIQ
University of Toronto
Institution
Distinct regional ontogeny and activation of tumor associated macrophages in human glioblastoma
Paper
Conversational AI Models for ophthalmic diagnosis: Comparison of ChatGPT and the Isabel Pro Differential Diagnosis Generator
Paper
Minimally Invasive Glaucoma Surgery: A Review of the Literature
Paper
Earlier Surgery Reduces Complications in Acute Traumatic Thoracolumbar Spinal Cord Injury: Analysis of a Multi-Center Cohort of 4108 Patients
Paper
Selective peripheral nerve recordings from nerve cuff electrodes using convolutional neural networks
Paper