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Cited by 765

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The adaptive response of skeletal muscle to increased use

Salmons, S., Henriksson, J.·1981·Muscle & Nerve

Abstract

Skeletal muscle undergoes profound changes in morphological, physiological, and biochemical character when subjected to prolonged periods of increased use. Although increased use may be brought about in a variety of ways, the results show consistent features. In particular, endurance exercise and chronic stimulation differ only in degree: the properties which change in response to exercise are also those which change at an early stage of stimulation; the properties which are resistant to change under exercise conditions change only after prolonged stimulation. There is therefore a hierarchy of stability in the properties of skeletal muscle which is revealed in its response to changing functional demands. The adaptive potential of muscle provedes a logical framework for understanding neural influences on the emergence of fiber types during muscle development. It is also relevant to the study of pathological conditions which may involve a sustained departure from normal postural and locomotor patterns of activity.

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Crossref · 10.1002/mus.880040204

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Metadata

Authors
Salmons, S., & Henriksson, J.
Venue
Muscle & Nerve
Publisher
Wiley
Published
1981-03
Volume
4
Issue
2
Pages
94-105
ISSN
  • 0148-639X (ISSN-L)
  • 1097-4598
OpenAlex
W2001837137
Cited by
765
References
3
FWCI
8.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The adaptive response of skeletal muscle to increased use. https://app.cochat.ai/papers/10.1002/mus.880040204
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Salmons, S., & Henriksson, J. (1981). The adaptive response of skeletal muscle to increased use. Muscle & Nerve. https://doi.org/10.1002/mus.880040204

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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.