SAR and QSAR in Environmental Research

Aims & Scope

SAR and QSAR in Environmental Research is an international journal welcoming papers on the fundamental and practical aspects of the structure-activity and structure-property relationships in the fields of environmental science, agrochemistry, toxicology, pharmacology and applied chemistry.

A unique aspect of the journal is the focus on emerging techniques for the building of SAR and QSAR models in these widely varying fields.

The scope of the journal includes, but is not limited to, the topics of topological and physicochemical descriptors, mathematical, statistical and graphical methods for data analysis, computer methods and programs, original applications and comparative studies.

In addition to primary scientific papers, the journal contains reviews of books and software and news of conferences.

Special issues on topics of current and widespread interest to the SAR and QSAR community will be published from time to time.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.4
2024	2.30

SJR (SCImago Journal Rank)

Year	Value
2024	0.342

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	56

Journal Rank

Year	Value
2024	15368

Journal Citation Indicator

Year	Value
2024	324

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, Chemical Engineering, Medicine and Pharmacology, Toxicology and Pharmaceutics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• How not to develop a quantitative structure–activity or structure–property relationship (QSAR/QSPR)

  Citation: 401

  Authors: J.C., M.T.D., K.L.E.

• An evaluation of the implementation of the Cramer classification scheme in the Toxtree software

  Citation: 389

  Authors: G., N., R.J., A.P., B.

• Knowledge-Based Expert Systems for Toxicity and Metabolism Prediction: DEREK, StAR and METEOR

  Citation: 188

  Authors: N., P. N., J. J., C. A.

• QSAR Toolbox – workflow and major functionalities

  Citation: 186

  Authors: S. D., R., T., T. S., G. V., A. S., Y. H., S. G., R. A., K. D., C. D., N. D., A. M., M., O. G.

• Automatic knowledge extraction from chemical structures: the case of mutagenicity prediction

  Citation: 141

  Authors: T., D., G., N., A., E.

• Fruit Tree model for uptake of organic compounds from soil and air†

  Citation: 136

  Authors: S.

• The role of the European Chemicals Bureau in promoting the regulatory use of (Q)SAR methods

  Citation: 124

  Authors: A. P., A., J., A., T., M., G., I., S.

• Multivariate Qsar Analysis of a Skin Sensitization Database

  Citation: 118

  Authors: M. T. D., D. A.

• Comparison of<i>in silico</i>tools for evaluating rat oral acute toxicity

  Citation: 115

  Authors: R., S., A., A., A., E.

• Identification of mechanisms of toxic action for skin sensitisation using a SMARTS pattern based approach

  Citation: 115

  Authors: S.J., J.C., M.T.D.

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