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Cited by 420

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Neuron Specific Enolase, A Clinically Useful Marker for Neurons and Neuroendocrine Cells

Marangos, P J, Schmechel, D E·1987·Annual Review of Neuroscience

Abstract

The rationale for studying cell specific proteins is rooted in the realization that proteins strictly localized or even greatly enriched in a given cell type are likely to be involved in biochemical events that are either specific to that cell type or performed in a different manner by that particular cell. This concept is further strengthened if the cell specific protein has an ontogenetic appearance that parallels that of the differentiation of the cell. The biochemical characterization of the proteins, actin, myosin, and troponin, in muscle as well as hemoglobin in red cells and tubulin in nerve cells constitutes examples illustrating the usefulness of this approach. In all these cases the structural and functional charactcrization of a given protein provided key insights regarding the function of specific cell types. The elucidation and characterization of nervous system specific proteins

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Crossref · 10.1146/annurev.ne.10.030187.001413

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Metadata

Authors
Marangos, P. J., & Schmechel, D. E.
Venue
Annual Review of Neuroscience
Published
1987-03
Volume
10
Issue
1
Pages
269-295
ISSN
  • 0147-006X (ISSN-L)
  • 1545-4126
OpenAlex
W2100273026
Cited by
420
References
14
FWCI
9.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Neuron Specific Enolase, A Clinically Useful Marker for Neurons and Neuroendocrine Cells. https://app.cochat.ai/papers/10.1146/annurev.ne.10.030187.001413
The paper
Marangos, P. J., & Schmechel, D. E. (1987). Neuron Specific Enolase, A Clinically Useful Marker for Neurons and Neuroendocrine Cells. Annual Review of Neuroscience. https://doi.org/10.1146/annurev.ne.10.030187.001413

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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.