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Neuroscience bridging scientific disciplines in health: Who builds the bridge, who pays for it?

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  • Ran Xu

    (Virginia Tech)

  • Navid Ghaffarzadegan

    (Virginia Tech)

Abstract

The purpose of this study is to investigate the dynamics of cross-disciplinary research in health-related fields as affected by individual and institutional factors. We examine the topics of more than 500,000 doctoral dissertations from U.S. institutions in six major disciplines in 1996–2014. We find that (1) the overall extent of cross-disciplinary studies has remained steady over the years, while there is an increasing trend of cross-disciplinary research between biological sciences and engineering, as well as biological sciences and behavioral sciences, especially in recent years; and (2) at the subject level, the cross-disciplinary research around neuroscience is rapidly increasing, and neuroscience is becoming one of the most important bridges across subjects in various disciplines. A further investigation shows that the tendency to conduct cross-disciplinary neuroscience research is driven by an institutional trend that occurs across various departments, and there is an association between lagged neuroscience funding input and the production of cross-disciplinary neuroscience dissertations. Overall, our results offer new insights into the dynamic nature of cross-disciplinary research in health, the role of topics as bridging different disciplines, and human and funding capital in building the bridges.

Suggested Citation

  • Ran Xu & Navid Ghaffarzadegan, 2018. "Neuroscience bridging scientific disciplines in health: Who builds the bridge, who pays for it?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1183-1204, November.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:2:d:10.1007_s11192-018-2887-3
    DOI: 10.1007/s11192-018-2887-3
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    Cited by:

    1. Xu, Ran & Baghaei Lakeh, Arash & Ghaffarzadegan, Navid, 2021. "Examining the characteristics of impactful research topics: A case of three decades of HIV-AIDS research," Journal of Informetrics, Elsevier, vol. 15(1).
    2. Inés M. Fernández-Guerrero & Zoraida Callejas & David Griol & Antonio Fernández-Cano, 2020. "Longitudinal patterns in Spanish doctoral theses on scientific medical information: a tertiary study," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1241-1260, August.

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