Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 889

The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.

Electroporation-Based Technologies for Medicine: Principles, Applications, and Challenges

Open access
Yarmush, Martin L., Golberg, Alexander, Serša, Gregor, Kotnik, Tadej, Miklavčič, Damijan·2014·Annual Review of Biomedical Engineering

Abstract

When high-amplitude, short-duration pulsed electric fields are applied to cells and tissues, the permeability of the cell membranes and tissue is increased. This increase in permeability is currently explained by the temporary appearance of aqueous pores within the cell membrane, a phenomenon termed electroporation. During the past four decades, advances in fundamental and experimental electroporation research have allowed for the translation of electroporation-based technologies to the clinic. In this review, we describe the theory and current applications of electroporation in medicine and then discuss current challenges in electroporation research and barriers to a more extensive spread of these clinical applications.

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 · 10.1146/annurev-bioeng-071813-104622

Cites

132 of 132 references verified0 citation errors · 0 not checkable

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

Cites

Show all 132 references

Cited by

See all 889

Metadata

Authors
Yarmush, M. L., Golberg, A., Serša, G., Kotnik, T., & Miklavčič, D.
Venue
Annual Review of Biomedical Engineering
Published
2014-07-11
Volume
16
Issue
1
Pages
295-320
ISSN
  • 1523-9829 (ISSN-L)
  • 1545-4274
OpenAlex
W2138045682
Cited by
889
References
132
FWCI
7.90
Type
journal article
Language
en
Open access
bronze

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: Electroporation-Based Technologies for Medicine: Principles, Applications, and Challenges. https://app.cochat.ai/papers/10.1146/annurev-bioeng-071813-104622
The paper
Yarmush, M. L., Golberg, A., Serša, G., Kotnik, T., & Miklavčič, D. (2014). Electroporation-Based Technologies for Medicine: Principles, Applications, and Challenges. Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev-bioeng-071813-104622

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.