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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.
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