The DOI matches its Crossref record.
Implant biomaterials: A comprehensive review
Open accessAbstract
Appropriate selection of the implant biomaterial is a key factor for long term success of implants. The biologic environment does not accept completely any material so to optimize biologic performance, implants should be selected to reduce the negative biologic response while maintaining adequate function. Every clinician should always gain a thorough knowledge about the different biomaterials used for the dental implants. This article makes an effort to summarize various dental bio-materials which were used in the past and as well as the latest material used now.
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
Cited by
Photopolymerizable Biomaterials and Light-Based 3D Printing Strategies for Biomedical Applications
Yu, C., Schimelman, J., Wang, P., Miller, K. L., Ma, X., You, S., Guan, J., Sun, B., Zhu, W., & Chen, S. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00810 · Cited by 579
Gelatin methacryloyl (GelMA)-based biomaterials for bone regeneration
Dong, Z., Yuan, Q., Huang, K., Xu, W., Liu, G., & Gu, Z. (2019) · RSC Advances · doi:10.1039/c9ra02695a · Cited by 123
Biodegradable bone implants as a new hope to reduce device-associated infections-a systematic review
Paiva, J. C. C., Oliveira, L., Vaz, M. F., & Costa-de-Oliveira, S. (2022) · Bioengineering · doi:10.3390/bioengineering9080409 · Cited by 53
A novel 3D vascular assay for evaluating angiogenesis across porous membranes
Bai, J., Haase, K., Roberts, J. J., Hoffmann, J., Nguyen, H. T., Wan, Z., Zhang, S., Sarker, B., Friedman, N., Ristić-Lehmann, Č., et al. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2020.120592 · Cited by 29
Comparative analysis of energy transfer mechanisms for neural implants
Miziev, S., Pawlak, W. A., & Howard, N. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1320441 · Cited by 21
Metadata
- Authors
- Saini, M.
- Venue
- World Journal of Clinical Cases
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2015
- Volume
- 3
- Issue
- 1
- Pages
- 52
- ISSN
- 2307-8960 (ISSN-L)
- OpenAlex
- W2093984144
- Cited by
- 844
- References
- 0
- FWCI
- 47.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Implant biomaterials: A comprehensive review. https://app.cochat.ai/papers/10.12998/wjcc.v3.i1.52
- The paper
- Saini, M. (2015). Implant biomaterials: A comprehensive review. World Journal of Clinical Cases. https://doi.org/10.12998/wjcc.v3.i1.52
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.