Gregor Kasprian is an expert in Neurology at Vienna General Hospital (Austria). Gregor Kasprian has authored 441 publications, the most recent in 2026, and is an investigator in 1 clinical trial. SLR score: 1,257 (community average: 125). How the SLR is computed.

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Gregor Kasprian Vienna General Hospital Austria
1 257 ScienceLeadR Reputation 1257
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Neurology

Subspecialties: Medical Imaging - Obstetrics - Gynecology

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Expert Rankings

Top experts on the MeSH terms this expert works on

Organizations

Career arc: 2006 - 2026

Source: PubMed

Medical University of Vienna

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 441

Citations

Citations: 6 161 1st author: 15 Last author: 94 Unique author: 1


Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
ESR Essentials: "Gadolinium-free" pediatric neuroimaging-practice recommendations by the European Society of Neuroradiology.
PMID 42944874 — neuroimaging, radiography
Eur Radiol20260
Regional Brain Injury Burden on Term-Equivalent MRI Is Associated with Neurodevelopmental Outcome in Extremely Preterm Infants with Intraventricular Hemorrhage.
PMID 42940680 — infant, extremely premature, brain injuries, language, hemorrhage, neuroimaging, brain, infant, premature, magnetic resonance imaging, infant, neurodevelopment
Children (Basel)20260
Passive intraoperative motor fMRI under general anesthesia during open-craniotomy glioma surgery: a prospective technical feasibility study.
PMID 42861269 — anesthesia, general, anesthesia, glioma, feasibility studies, craniotomy, neuronavigation
Brain Spine20260
Progressive Amyloid-Related Imaging Abnormalities After Discontinuation of Lecanemab in Early Alzheimer Disease in an APOE ε2/ε4 Carrier.
PMID 42862019 — alzheimer disease, genotype, therapeutics, amyloid, apolipoproteins e, nervous system diseases, cerebral amyloid angiopathy
Eur J Neurol20260
Screening for patients at risk for cardiac amyloidosis via electronic health records: A multicenter machine learning development and validation study.
PMID 42848744 — electronic health records, machine learning, amyloidosis, records, learning, radionuclide imaging
PLOS Digit Health20260

Clinical Studies 1

Sources: ClinicalTrials, EU CTIS

Synthesis

By phase:

N/A 1

By status:

Completed 1

By type:

Observational 1

By Monocentric/Multicentric:

monocentric 0
multicentric2to4 0
multicentric5to9 0
multicentricup10 1

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