The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.
Electrical stimulation as a novel tool for regulating cell behavior in tissue engineering
Open accessAbstract
Recently, electrical stimulation as a physical stimulus draws lots of attention. It shows great potential in disease treatment, wound healing, and mechanism study because of significant experimental performance. Electrical stimulation can activate many intracellular signaling pathways, and influence intracellular microenvironment, as a result, affect cell migration, cell proliferation, and cell differentiation. Electrical stimulation is using in tissue engineering as a novel type of tool in regeneration medicine. Besides, with the advantages of biocompatible conductive materials coming into view, the combination of electrical stimulation with suitable tissue engineered scaffolds can well combine the benefits of both and is ideal for the field of regenerative medicine. In this review, we summarize the various materials and latest technologies to deliver electrical stimulation. The influences of electrical stimulation on cell alignment, migration and its underlying mechanisms are discussed. Then the effect of electrical stimulation on cell proliferation and differentiation are also discussed.
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.
Integrity signals
Registry
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.
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
Carbon-based materials as supercapacitor electrodes
Zhang, L. L., & Zhao, X. S. (2009) · Chemical Society Reviews · doi:10.1039/b813846j · Cited by 7,459
Electrical signals control wound healing through phosphatidylinositol-3-OH kinase-γ and PTEN
Zhao, M., Song, B., Pu, J., Wada, T., Reid, B., Tai, G., Wang, F., Guo, A., Walczysko, P., Gu, Y., et al. (2006) · Nature · doi:10.1038/nature04925 · Cited by 1,167
Stem cells in tissue engineering
Bianco, P., & Robey, P. G. (2001) · Nature · doi:10.1038/35102181 · Cited by 965
Radisic, M., Park, H., Shing, H., Consi, T., Schoen, F. J., Langer, R., Freed, L. E., & Vunjak-Novakovic, G. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407817101 · Cited by 910
Microfluidic Bioprinting of Heterogeneous 3D Tissue Constructs Using Low‐Viscosity Bioink
Colosi, C., Shin, S. R., Manoharan, V., Massa, S., Costantini, M., Barbetta, A., Dokmeci, M. R., Dentini, M., & Khademhosseini, A. (2016) · Advanced Materials · doi:10.1002/adma.201503310 · Cited by 863
A Brief Definition of Regenerative Medicine
Mason, C., & Dunnill, P. (2008) · Regenerative Medicine · doi:10.2217/17460751.3.1.1 · Cited by 799
Electrical fields in wound healing—An overriding signal that directs cell migration
Zhao, M. (2009) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2008.12.009 · Cited by 714
Enhanced Differentiation of Human Neural Stem Cells into Neurons on Graphene
Park, S. Y., Park, J., Sim, S. H., Sung, M. G., Kim, K. S., Hong, B. H., & Hong, S. (2011) · Advanced Materials · doi:10.1002/adma.201101503 · Cited by 703
Ghasemi-Mobarakeh, L., Prabhakaran, M. P., Morshed, M., Nasr-Esfahani, M. H., Baharvand, H., Kiani, S., Al-Deyab, S. S., & Ramakrishna, S. (2011) · Journal of Tissue Engineering and Regenerative Medicine · doi:10.1002/term.383 · Cited by 698
Three-dimensional graphene foam as a biocompatible and conductive scaffold for neural stem cells
Li, N., Zhang, Q., Gao, S., Song, Q., Huang, R., Wang, L., Liu, L., Dai, J., Tang, M., & Cheng, G. (2013) · Scientific Reports · doi:10.1038/srep01604 · Cited by 660
Cited by
Construction of Bio‐Piezoelectric Platforms: From Structures and Synthesis to Applications
Xu, Q., Gao, X., Zhao, S., Liu, Y., Zhang, D., Zhou, K., Khanbareh, H., Chen, W., Zhang, Y., & Bowen, C. (2021) · Advanced Materials · doi:10.1002/adma.202008452 · Cited by 298
Electrical pulse stimulation parameters modulate N2a neuronal differentiation
Martín, D., Ruano, D., Yúfera, A., & Daza, P. (2024) · Cell Death Discovery · doi:10.1038/s41420-024-01820-y · Cited by 21
Metadata
- Authors
- Chen, C., Bai, X., Ding, Y., & Lee, I.-S.
- Venue
- Biomaterials Research
- Published
- 2019-12-05
- Volume
- 23
- Issue
- 1
- Pages
- 25-25
- ISSN
- 1226-4601 (ISSN-L)
- 2055-7124
- OpenAlex
- W2991668968
- Cited by
- 444
- References
- 103
- FWCI
- 32.41
- Type
- journal article
- Language
- en
- Open access
- gold
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: Electrical stimulation as a novel tool for regulating cell behavior in tissue engineering. https://app.cochat.ai/papers/10.1186/s40824-019-0176-8
- The paper
- Chen, C., Bai, X., Ding, Y., & Lee, I.-S. (2019). Electrical stimulation as a novel tool for regulating cell behavior in tissue engineering. Biomaterials Research. https://doi.org/10.1186/s40824-019-0176-8
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.
