Last data updates: 13 August 2015 Li, L., Hu, J. and Ho, Y.S.* (2014), Global performance and trend of QSAR/QSPR research: A bibliometric analysis. Molecular Informatics, 33 (10), 655-668. Document type: Article Language: English Cited references: 90 Times cited: 2 Times self cited: 0 Abstract A bibliometric analysis based on the Science Citation Index Expanded was conducted to provide insights into the publication performance and research trend of quantitative structure-activity relationship (QSAR) and quantitative structure-property relationship (QSPR) from 1993 to 2012. The results show that the number of articles per year quadrupled from 1993 to 2006 and plateaued since 2007. Journal of Chemical Information and Modeling was the most prolific journal. The internal methodological innovations in acquiring molecular descriptors and modeling stimulated the articles' increase in the research fields of drug design and synthesis, and chemoinformatics; while the external regulatory demands on model validation and reliability fueled the increase in environmental sciences. “Prediction endpoints”, “statistical algorithms”, and “molecular descriptors” were identified as three research hotspots. The articles from developed countries were larger in number and more influential in citation, whereas those from developing countries were higher in output growth rates. Keywords Author Keywords: Quantitative Structure-Activity Relationship (QSAR); Quantitative Structure-Property Relationship (QSPR); Research Trend; SCI-EXPANDED; Scientometrics KeyWords Plus: Science-Citation-Index; Molecular Similarity Indexes; HIV-1 Integrase Inhibitors; Comsia 3D QSAR; Biological-Activity; Electrotopological-State; Theoretical Descriptors; Partition-Coefficients; Applicability Domain; Risk-Assessment Author Information Reprint Address: Ho, YS (reprint author) Asia Univ, Trend Res Ctr, Taichung 41354, Taiwan. Addresses: [ 1 ] Peking Univ, Coll Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100871, Peoples R China [ 2 ] Asia Univ, Trend Res Ctr, Taichung 41354, Taiwan [ 3 ] Peking Univ, Dept Environm Engn, Beijing 100871, Peoples R China E-mail Addresses: ysho@asia.edu.tw 1. 2. Iwaniak, A., Minkiewicz, P., Darewicz, M., Protasiewicz, M. and Mogut, D. (2015), Chemometrics and cheminformatics in the analysis of biologically active peptides from food sources. Journal of Functional Foods, 16, 334-351. Gao, Y., Qu, B., Shen, Y., Su, X.J., Dong, X.Y., Chen, X.M., Zhou, Y.H. and Pi, H.Y. (2015), Bibliometric profile of neurogenic bladder in the literature: A 20-year bibliometric analysis. Neural Regeneration Research, 10 (5), 797-803.