The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Highly-efficient peroxidase-like catalytic activity of graphene dots for biosensing
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
Intrinsic peroxidase-like activity of ferromagnetic nanoparticles
Gao, L., Zhuang, J., Nie, L., Zhang, J., Zhang, Y., Gu, N., Wang, T., Feng, J., Yang, D., Perrett, S., et al. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.260 · Cited by 7,483
Fluorescence Glucose Detection: Advances Toward the Ideal In Vivo Biosensor
Moschou, E. A., Sharma, B. V., Deo, S. K., & Daunert, S. (2004) · Journal of Fluorescence · doi:10.1023/b:jofl.0000039341.64999.83 · Cited by 154
Cited by
Nanomaterials with enzyme-like characteristics (nanozymes): next-generation artificial enzymes
Wei, H., & Wang, E. (2013) · Chemical Society Reviews · doi:10.1039/c3cs35486e · Cited by 3,779
Carbon Nanozymes: Enzymatic Properties, Catalytic Mechanism, and Applications
Sun, H., Zhou, Y., Ren, J., & Qu, X. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201712469 · Cited by 648
Quantum dots derived from two-dimensional materials and their applications for catalysis and energy
Wang, X., Sun, G., Li, N., & Chen, P. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00811e · Cited by 498
Applications of carbon quantum dots (CQDs) in membrane technologies: A review
Zhao, D. L., & Chung, T.-S. (2018) · Water Research · doi:10.1016/j.watres.2018.09.040 · Cited by 339
Nirala, N. R., Abraham, S., Kumar, V., Bansal, A., Srivastava, A., & Saxena, P. S. (2015) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2015.04.091 · Cited by 180
Metadata
- Authors
- Zheng, A.-X., Cong, Z.-X., Wang, J.-R., Li, J., Yang, H.-H., & Chen, G.-N.
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 49
- Pages
- 519-524
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W2064455966
- Cited by
- 190
- References
- 2
- FWCI
- 7.55
- 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: Highly-efficient peroxidase-like catalytic activity of graphene dots for biosensing. https://app.cochat.ai/papers/10.1016/j.bios.2013.05.038
- The paper
- Zheng, A.-X., Cong, Z.-X., Wang, J.-R., Li, J., Yang, H.-H., & Chen, G.-N. (2013). Highly-efficient peroxidase-like catalytic activity of graphene dots for biosensing. Biosensors and Bioelectronics. https://doi.org/10.1016/j.bios.2013.05.038
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.
