The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Optimization of the HepaRG cell model for drug metabolism and toxicity studies
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Citations
Cites
Concordance of the toxicity of pharmaceuticals in humans and in animals
Olson, H., Betton, G., Robinson, D., Thomas, K., Monro, A., Kolaja, G., Lilly, P., Sanders, J., Sipes, G., Bracken, W., et al. (2000) · Regulatory Toxicology and Pharmacology · doi:10.1006/rtph.2000.1399 · Cited by 2,050
Lee, W. M. (2003) · New England Journal of Medicine · doi:10.1056/nejmra021844 · Cited by 1,594
Ged, C., Rouillon, J., Pichard, L., Combalbert, J., Bressot, N., Bories, P., Michel, H., Beaune, P., & Maurel, P. (1989) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.1989.tb03516.x · Cited by 333
Jennen, D. G. J., Magkoufopoulou, C., Ketelslegers, H. B., van Herwijnen, M. H. M., Kleinjans, J. C. S., & van Delft, J. H. M. (2010) · Toxicological Sciences · doi:10.1093/toxsci/kfq026 · Cited by 220
Cited by
Organ-on-a-chip platforms: a convergence of advanced materials, cells, and microscale technologies
Ahadian, S., Civitarese, R., Bannerman, D., Mohammadi, M. H., Lu, R., Wang, E., Davenport‐Huyer, L., Lai, B., Zhang, B., Zhao, Y., et al. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201700506 · Cited by 315
3D Organotypic Cultures of Human HepaRG Cells: A Tool for In Vitro Toxicity Studies
Gunness, P., Mueller, D., Shevchenko, V., Heinzle, E., Ingelman-Sundberg, M., & Noor, F. (2013) · Toxicological Sciences · doi:10.1093/toxsci/kft021 · Cited by 236
Cuvellier, M., Ezan, F., Oliveira, H., Rose, S., Fricain, J.-C., Langouët, S., Legagneux, V., & Baffet, G. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2020.120611 · Cited by 126
Cross-species analysis of hepatic cytochrome P450 and transport protein expression
Hammer, H., Schmidt, F., Marx-Stoelting, P., Pötz, O., & Braeuning, A. (2021) · Archives of Toxicology · doi:10.1007/s00204-020-02939-4 · Cited by 104
Preclinical models of idiosyncratic drug-induced liver injury (iDILI): Moving towards prediction
Segovia-Zafra, A., Di Zeo-Sánchez, D. E., López-Gómez, C., Pérez-Valdés, Z., García-Fuentes, E., Andrade, R. J., Lucena, M. I., & Villanueva-Paz, M. (2021) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2021.11.013 · Cited by 70
Metadata
- Authors
- Anthérieu, S., Chesné, C., Li, R., Guguen-Guillouzo, C., & Guillouzo, A.
- Venue
- Toxicology in Vitro
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 26
- Issue
- 8
- Pages
- 1278-1285
- ISSN
- 0887-2333 (ISSN-L)
- OpenAlex
- W2074385303
- Cited by
- 177
- References
- 4
- FWCI
- 12.13
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Optimization of the HepaRG cell model for drug metabolism and toxicity studies. https://app.cochat.ai/papers/10.1016/j.tiv.2012.05.008
- The paper
- Anthérieu, S., Chesné, C., Li, R., Guguen-Guillouzo, C., & Guillouzo, A. (2012). Optimization of the HepaRG cell model for drug metabolism and toxicity studies. Toxicology in Vitro. https://doi.org/10.1016/j.tiv.2012.05.008
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.
