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Cited by 393

The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.

Novel Stroke Therapeutics: Unraveling Stroke Pathophysiology and Its Impact on Clinical Treatments

Open access
George, Paul M., Steinberg, Gary K.·2015·Neuron

Abstract

Stroke remains a leading cause of death and disability in the world. Over the past few decades our understanding of the pathophysiology of stroke has increased, but greater insight is required to advance the field of stroke recovery. Clinical treatments have improved in the acute time window, but long-term therapeutics remain limited. Complex neural circuits damaged by ischemia make restoration of function after stroke difficult. New therapeutic approaches, including cell transplantation or stimulation, focus on reestablishing these circuits through multiple mechanisms to improve circuit plasticity and remodeling. Other research targets intact networks to compensate for damaged regions. This review highlights several important mechanisms of stroke injury and describes emerging therapies aimed at improving clinical outcomes.

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Crossref · 10.1016/j.neuron.2015.05.041

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Metadata

Authors
George, P. M., & Steinberg, G. K.
Venue
Neuron
Publisher
Elsevier BV
Published
2015-07
Volume
87
Issue
2
Pages
297-309
ISSN
0896-6273 (ISSN-L)
OpenAlex
W1568910178
Cited by
393
References
149
FWCI
22.48
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Novel Stroke Therapeutics: Unraveling Stroke Pathophysiology and Its Impact on Clinical Treatments. https://app.cochat.ai/papers/10.1016/j.neuron.2015.05.041
The paper
George, P. M., & Steinberg, G. K. (2015). Novel Stroke Therapeutics: Unraveling Stroke Pathophysiology and Its Impact on Clinical Treatments. Neuron. https://doi.org/10.1016/j.neuron.2015.05.041

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.