Visualizing Research Trends on Culture Neuroscience (2008-2021): A Bibliometric Analysis
- PMID: 35602732
- PMCID: PMC9121129
- DOI: 10.3389/fpsyg.2022.884929
Visualizing Research Trends on Culture Neuroscience (2008-2021): A Bibliometric Analysis
Abstract
Recently, cultural neuroscience has gained attention as a new, important, and interdisciplinary topic in the field of neuroscience. It helps us understand the interaction of cultural and biological factors over the course of life. This study aims to provide a comprehensive overview of the field to readers and potential researchers engaged in cultural neuroscience research. A bibliometric analysis was performed on 113 articles in the field of cultural neuroscience from 2008 to 2021 using data from the core collection of Web of Science. Network visualization software VOSviewer and ITGInsight were used for performance analysis and science mapping. Specifically, the performance analysis included countries, institutions, authors, papers, and journals, while science mapping analyzed the collaboration network, keyword network, bibliographic coupling network, and time series evolution. The results showed that the United States was the most productive country, Northwestern University was the most influential research institution, Chiao Jy was the most influential scholar, and "Social Cognitive and Affective Neuroscience" made the greatest contribution to publishing in the field of cultural neuroscience. Furthermore, collaboration is expected to be the development trend in the future. The key research topics in the field of cultural neuroscience included neuroimaging and psychiatric diseases, theoretical methods, interdisciplinary research, cultural differences (collectivism and individualism), and brain functions. Finally, future research will focus on cultural neuroscience, culture, and self, while adolescence will be the emerging research frontier.
Keywords: bibliometric analysis; cultural neuroscience; evolutionary analysis; research hotspots; research topics.
Copyright © 2022 Xu, Chung and Yu.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
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- Bai Y., Li H. X., Liu Y. (2021). Visualizing research trends and research theme evolution in E-learning field: 1999-2018. Scientometrics 126, 1389–1414. doi: 10.1007/s11192-020-03760-7 - DOI
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- Blondel V. D., Guillaume J. L., Lambiotte R., Lefebvre E. (2008). Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. 2008:P10008. doi: 10.1088/1742-5468/2008/10/P10008 - DOI
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