Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,648

The DOI matches its Crossref record.

The Ionic Channels in Excitable Membranes

Keynes, R. D.·1975·Novartis Foundation Symposia

Abstract

The ionic channels in excitable membranes are of two classes: those that open and close when the membrane potential alters and those that respond to the release of an appropriate chemical transmitter. The former are responsible for the conduction of impulses in nerve and muscle fibres and the latter for synaptic transmission. It is now clear that the sodium and potassium channels in electrically excitable membranes are functionally distinct, since each can be blocked without affecting the behaviour of the other. It has recently proved possible to study, in the voltage-clamped squid giant axon, the movements of the mobile charges or dipoles that form the voltage-sensitive portion of the sodium channels, which give rise to the so-called 'gating' current. Detailed comparisons can now be made between the kinetics of the ionic conductances as described by Hodgkin & Huxley, and the steady-state distribution and kinetics of the charged controlling particles, which should lead to useful conclusions about the intramolecular organization of the sodium channels and the conformational changes that take place under the influence of the electric field. There is as yet little information about the chemical nature of the electrically excitable channels, but significant progress has been made towards the isolation and characterization of the acetylcholine receptors in muscle and electric organ.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/9780470720134.ch11

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,648

Metadata

Authors
Keynes, R. D.
Venue
Novartis Foundation Symposia
Publisher
Wiley
Published
1975-01
Issue
31
Pages
191-203
ISSN
  • 1528-2511 (ISSN-L)
  • 1935-4657
OpenAlex
W1485099091
Cited by
1,648
References
0
Type
other
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Ionic Channels in Excitable Membranes. https://app.cochat.ai/papers/10.1002/9780470720134.ch11
The paper
Keynes, R. D. (1975). The Ionic Channels in Excitable Membranes. Novartis Foundation Symposia. https://doi.org/10.1002/9780470720134.ch11

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.