The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
QSPR: the correlation and quantitative prediction of chemical and physical properties from structure
Abstract
A. R. Katritzky, V. S. Lobanov and M. Karelson, Chem. Soc. Rev., 1995, 24, 279 DOI: 10.1039/CS9952400279
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Citations
Cites
p-σ-π Analysis. A Method for the Correlation of Biological Activity and Chemical Structure
Hansch, C., & Fujita, T. (1964) · Journal of the American Chemical Society · doi:10.1021/ja01062a035 · Cited by 2,313
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Predicting physical properties of ionic liquids
Deetlefs, M., Seddon, K. R., & Shara, M. (2006) · Phys. Chem. Chem. Phys. · doi:10.1039/b513453f · Cited by 411
Mold2, Molecular Descriptors from 2D Structures for Chemoinformatics and Toxicoinformatics
Hong, H., Xie, Q., Ge, W., Qian, F., Fang, H., Shi, L., Su, Z., Perkins, R., & Tong, W. (2008) · Journal of Chemical Information and Modeling · doi:10.1021/ci800038f · Cited by 317
Katritzky, A. R., Maran, U., Lobanov, V. S., & Karelson, M. (2000) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci9903206 · Cited by 271
Self-citationKhan, P. M., & Roy, K. (2018) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2018.1542428 · Cited by 113
Metadata
- Authors
- Katritzky, A. R., Lobanov, V. S., & Karelson, M.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 1995
- Volume
- 24
- Issue
- 4
- Pages
- 279
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2075613930
- Cited by
- 542
- References
- 1
- FWCI
- 12.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Katritzky, A. R., Lobanov, V. S., & Karelson, M. (1995). QSPR: the correlation and quantitative prediction of chemical and physical properties from structure. Chemical Society Reviews. https://doi.org/10.1039/cs9952400279
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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.