The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Conductive Polymers: Opportunities and Challenges in Biomedical Applications
Abstract
Research pertaining to conductive polymers has gained significant traction in recent years, and their applications range from optoelectronics to material science. For all intents and purposes, conductive polymers can be described as Nobel Prize-winning materials, given that their discoverers were awarded the Nobel Prize in Chemistry in 2000. In this review, we seek to describe the chemical forms and functionalities of the main types of conductive polymers, as well as their synthesis methods. We also present an in-depth analysis of composite conductive polymers that contain various nanomaterials such as graphene, fullerene, carbon nanotubes, and paramagnetic metal ions. Natural polymers such as collagen, chitosan, fibroin, and hydrogel that are structurally modified for them to be conductive are also briefly touched upon. Finally, we expound on the plethora of biomedical applications that harbor the potential to be revolutionized by conductive polymers, with a particular focus on tissue engineering, regenerative medicine, and biosensors.
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
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Graphene: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
Graphene-based composite materials
Stankovich, S., Dikin, D. A., Dommett, G. H. B., Kohlhaas, K. M., Zimney, E. J., Stach, E. A., Piner, R. D., Nguyen, S. T., & Ruoff, R. S. (2006) · Nature · doi:10.1038/nature04969 · Cited by 12,922
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., Branner, A., Chen, D., Penn, R. D., & Donoghue, J. P. (2006) · Nature · doi:10.1038/nature04970 · Cited by 3,295
The rise of plastic bioelectronics
Someya, T., Bao, Z., & Malliaras, G. G. (2016) · Nature · doi:10.1038/nature21004 · Cited by 1,884
Monopoli, M. P., Walczyk, D., Campbell, A., Elia, G., Lynch, I., Baldelli Bombelli, F., & Dawson, K. A. (2011) · Journal of the American Chemical Society · doi:10.1021/ja107583h · Cited by 1,835
Conducting polymers in biomedical engineering
Guimard, N. K., Gomez, N., & Schmidt, C. E. (2007) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2007.05.012 · Cited by 1,599
Thiol-ene “click” reactions and recent applications in polymer and materials synthesis
Lowe, A. B. (2010) · Polym. Chem. · doi:10.1039/b9py00216b · Cited by 1,563
Pan, L., Chortos, A., Yu, G., Wang, Y., Isaacson, S., Allen, R., Shi, Y., Dauskardt, R., & Bao, Z. (2014) · Nature Communications · doi:10.1038/ncomms4002 · Cited by 1,519
Cited by
Xia, D., Wang, P., Ji, X., Khashab, N. M., Sessler, J. L., & Huang, F. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00839 · Cited by 734
3D printable high-performance conducting polymer hydrogel for all-hydrogel bioelectronic interfaces
Zhou, T., Yuk, H., Hu, F., Wu, J., Tian, F., Roh, H., Shen, Z., Gu, G., Xu, J., Lu, B., et al. (2023) · Nature Materials · doi:10.1038/s41563-023-01569-2 · Cited by 587
Zhou, L., Zheng, H., Liu, Z., Wang, S., Liu, Z., Chen, F., Zhang, H., Kong, J., Zhou, F., & Zhang, Q. (2021) · ACS Nano · doi:10.1021/acsnano.0c06287 · Cited by 382
Thermal Transport in Conductive Polymer–Based Materials
Xu, X., Zhou, J., & Chen, J. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201904704 · Cited by 224
Rana, A. K., Scarpa, F., & Thakur, V. K. (2022) · Industrial Crops and Products · doi:10.1016/j.indcrop.2022.115356 · Cited by 134
Metadata
- Authors
- Nezakati, T., Seifalian, A., Tan, A., & Seifalian, A. M.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-07-03
- Volume
- 118
- Issue
- 14
- Pages
- 6766-6843
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2809723084
- Cited by
- 977
- References
- 19
- FWCI
- 7.26
- Type
- journal article
- 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: Conductive Polymers: Opportunities and Challenges in Biomedical Applications. https://app.cochat.ai/papers/10.1021/acs.chemrev.6b00275
- The paper
- Nezakati, T., Seifalian, A., Tan, A., & Seifalian, A. M. (2018). Conductive Polymers: Opportunities and Challenges in Biomedical Applications. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.6b00275
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.
