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Magnetic nanoparticles research: a scientometric analysis of development trends and research fronts

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Abstract

The research on magnetic nanoparticles attracts scientists from broad disciplines including chemistry, physics, and biomedical science. It is a great challenge for scientists from different background to discover the development trends and research fronts that are embodied in publications from different disciplines. This article aims to portray the global research profile and detect research fronts of magnetic nanoparticles by taking advantages of scientometric approaches. A total of 13,464 publications regarding magnetic nanoparticles indexed by Web of Science during 2000–2015 were used for a detailed analysis of the global magnetic nanoparticles research performance. The 500 most-cited publications on magnetic nanoparticles were analyzed for the temporal–spatial distribution characteristics as well as co-citation networks and co-word networks to identify research fronts and development trends. This study revealed that ‘block-copolymers’ attracted most attentions in high quality research of MNPs. Researches on yadh-bound MNPs were among the most hot MNPs topics. Recently, researches on catalysis characteristics emerged as the hot MNPs topics.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China (71573196) and the Fundamental Research Funds for the Central Universities of China (WUT 2016IB006).

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Authors and Affiliations

  1. School of Information Management, Wuhan University, Wuhan, 430072, China

    Ping Liu

  2. School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, Wuhan, 430070, China

    Bao-Li Chen & Hao Xie

  3. School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, 430073, China

    Kan Liu

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  1. Ping Liu
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  2. Bao-Li Chen
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Correspondence to Hao Xie.

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Liu, P., Chen, BL., Liu, K. et al. Magnetic nanoparticles research: a scientometric analysis of development trends and research fronts. Scientometrics 108, 1591–1602 (2016). https://doi.org/10.1007/s11192-016-2017-z

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  • DOI: https://doi.org/10.1007/s11192-016-2017-z

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