The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
In silico toxicology for the pharmaceutical sciences☆
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Citations
Cites
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00129-0 · Cited by 18,139
Roberts, D. W., Patlewicz, G., Kern, P. S., Gerberick, F., Kimber, I., Dearman, R. J., Ryan, C. A., Basketter, D. A., & Aptula, A. O. (2007) · Chemical Research in Toxicology · doi:10.1021/tx700024w · Cited by 1,862
Toxicity Testing in the 21st Century: A Vision and a Strategy
Krewski, D., Acosta, D., Andersen, M., Anderson, H., Bailar, J. C., Boekelheide, K., Brent, R., Charnley, G., Cheung, V. G., Green, S., et al. (2010) · Journal of Toxicology and Environmental Health, Part B · doi:10.1080/10937404.2010.483176 · Cited by 1,688
Estimation of toxic hazard—A decision tree approach
Cramer, G. M., Ford, R. A., & Hall, R. L. (1976) · Food and Cosmetics Toxicology · doi:10.1016/s0015-6264(76)80522-6 · Cited by 1,570
A New Substituent Constant, π, Derived from Partition Coefficients
Fujita, T., Iwasa, J., & Hansch, C. (1964) · Journal of the American Chemical Society · doi:10.1021/ja01077a028 · Cited by 1,370
Dobson, C. M. (2004) · Nature · doi:10.1038/nature03192 · Cited by 1,003
Navigating chemical space for biology and medicine
Lipinski, C., & Hopkins, A. (2004) · Nature · doi:10.1038/nature03193 · Cited by 1,002
Computer-based de novo design of drug-like molecules
Schneider, G., & Fechner, U. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1799 · Cited by 948
The efficiency of multi-target drugs: the network approach might help drug design
CSERMELY, P., AGOSTON, V, & PONGOR, S. (2005) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2005.02.007 · Cited by 803
Ashby, J., & Tennant, R. W. (1988) · Mutation Research/Genetic Toxicology · doi:10.1016/0165-1218(88)90114-0 · Cited by 733
Cited by
Jordan, S. A., Cunningham, D. G., & Marles, R. J. (2010) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2009.12.005 · Cited by 415
Shoda, L. K. M., Woodhead, J. L., Siler, S. Q., Watkins, P. B., & Howell, B. A. (2014) · Biopharmaceutics & Drug Disposition · doi:10.1002/bdd.1878 · Cited by 75
A Mechanistic, Model‐Based Approach to Safety Assessment in Clinical Development
Lippert, J., Brosch, M., von Kampen, O., Meyer, M., Siegmund, H. ‐., Schafmayer, C., Becker, T., Laffert, B., Görlitz, L., Schreiber, S., et al. (2012) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1038/psp.2012.14 · Cited by 43
Computational toxicology of pharmaceuticals
Tugcu, G., Sipahi, H., Charehsaz, M., Aydın, A., & Saçan, M. T. (2023) · Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development · doi:10.1016/b978-0-443-18638-7.00007-4 · Cited by 5
Metadata
- Authors
- Valerio Jr., L. G.
- Venue
- Toxicology and Applied Pharmacology
- Publisher
- Elsevier BV
- Published
- 2009-12-15
- Volume
- 241
- Issue
- 3
- Pages
- 356-370
- ISSN
- 0041-008X (ISSN-L)
- OpenAlex
- W2000902592
- Cited by
- 296
- References
- 90
- FWCI
- 19.64
- 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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- CoChat. (2026). Citation check: In silico toxicology for the pharmaceutical sciences☆. https://app.cochat.ai/papers/10.1016/j.taap.2009.08.022
- The paper
- Valerio Jr., L. G. (2009). In silico toxicology for the pharmaceutical sciences☆. Toxicology and Applied Pharmacology. https://doi.org/10.1016/j.taap.2009.08.022
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.