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Cited by 2,658

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Excitatory Amino Acids as a Final Common Pathway for Neurologic Disorders

Epstein, Franklin H., Lipton, Stuart A., Rosenberg, Paul A.·1994·New England Journal of Medicine

Abstract

In many neurologic disorders, injury to neurons may be caused at least in part by overstimulation of receptors for excitatory amino acids, including glutamate and aspartate. These neurologic conditions range from acute insults such as stroke, hypoglycemia, trauma, and epilepsy (Table 1) to chronic neurodegenerative states such as Huntington's disease, the acquired immunodeficiency syndrome (AIDS) dementia complex, amyotrophic lateral sclerosis, and perhaps Alzheimer's disease (Table 2)13.Glutamate is the principal excitatory neurotransmitter in the brain, and its interactions with specific membrane receptors are responsible for many neurologic functions, including cognition, memory, movement, and sensation4. In addition, excitatory . . .

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Crossref · 10.1056/nejm199403033300907

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Metadata

Authors
Epstein, F. H., Lipton, S. A., & Rosenberg, P. A.
Venue
New England Journal of Medicine
Published
1994-03-03
Volume
330
Issue
9
Pages
613-622
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2316145923
Cited by
2,658
References
8
FWCI
47.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Excitatory Amino Acids as a Final Common Pathway for Neurologic Disorders. https://app.cochat.ai/papers/10.1056/nejm199403033300907
The paper
Epstein, F. H., Lipton, S. A., & Rosenberg, P. A. (1994). Excitatory Amino Acids as a Final Common Pathway for Neurologic Disorders. New England Journal of Medicine. https://doi.org/10.1056/nejm199403033300907

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.