The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Drugs: A review of promising novel corrosion inhibitors
Open accessAbstract
Abstract Due to the toxicity of widely used corrosion inhibitors and the ever tightening environmental regulations surrounding their use and disposal, there is great interest in replacing harmful inhibitors with effective non-hazardous alternatives. Over the past two decades, extensive research and development have led to the discovery of new classes of corrosion inhibitors, and the importance on the use of several drugs as corrosion inhibitors has grown. This review presents most of the contributions made to the literature on the use of drugs as corrosion inhibitors of various metals in recent years.
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
CRC Handbook of Chemistry and Physics
(2014) · doi:10.1201/b17118 · Cited by 57,706
Natural products as sources of new drugs over the last 25 years
Newman, D. J., & Cragg, G. M. (2007) · Journal of Natural Products · doi:10.1021/np068054v · Cited by 5,517
Klevens, R. M. (2007) · JAMA · doi:10.1001/jama.298.15.1763 · Cited by 3,726
Natural products as sources of new drugs over the period 1981–2002
Newman, D. J., Cragg, G. M., & Snader, K. M. (2003) · Journal of Natural Products · doi:10.1021/np030096l · Cited by 3,082
Cited by
Carbon steel corrosion: a review of key surface properties and characterization methods
Dwivedi, D., Lepková, K., & Becker, T. (2017) · RSC Advances · doi:10.1039/c6ra25094g · Cited by 607
Verma, C., Ebenso, E. E., Quraishi, M. A., & Hussain, C. M. (2021) · Materials Advances · doi:10.1039/d0ma00681e · Cited by 435
Guo, L., Zhu, S., Zhang, S., He, Q., & Li, W. (2014) · Corrosion Science · doi:10.1016/j.corsci.2014.06.040 · Cited by 296
Metadata
- Authors
- Gece, G.
- Venue
- Corrosion Science
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 53
- Issue
- 12
- Pages
- 3873-3898
- ISSN
- 0010-938X (ISSN-L)
- OpenAlex
- W2089075610
- Cited by
- 565
- References
- 4
- FWCI
- 10.07
- Type
- journal article
- Language
- en
- Open access
- green
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: Drugs: A review of promising novel corrosion inhibitors. https://app.cochat.ai/papers/10.1016/j.corsci.2011.08.006
- The paper
- Gece, G. (2011). Drugs: A review of promising novel corrosion inhibitors. Corrosion Science. https://doi.org/10.1016/j.corsci.2011.08.006
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.