Emerging trends and new developments in regenerative medicine: a scientometric update (2000 – 2014)
By Chaomei Chen, Rachael Dubin, Meen Chul Kim. Expert Opinion on Biological Therapy, 2014
784 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Molecular Biology, Physiology
View Paper: https://www.semanticscholar.org/paper/4cd4ca9117b617fca74e4fc151587b36e5246432
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In Biomedical Engineering
In Molecular Biology
In Physiology
Citations in the corpus
- Greenhouse Gas Emissions from Landfills: A Review and Bibliometric Analysis (2019, methodology): “CiteSpace, a Java-based software for visualization in science, was used to extract and identify the information on related literature before visualizing this information in the form of a co-citation network, which draws on article citations to reveal the structure of a field or fields [34].”
- Bibliometric visualisation: an application in tourism crisis and disaster management research (2019, background): “Blue colours indicate older connections, whereas orange colours indicate more recent connections (Chen et al., 2014b).”
- Emerging trends and new developments in information science: a document co-citation analysis (2009–2016) (2018, methodology): “At present, automatic cluster labeling has been widely used in different research fields, such as emerging trends and new developments in recommendation systems (Kim and Chen 2015), regenerative medicine (Chen et al. 2012, 2014), and Sloan Digital Sky Survey research (Zhang et al. 2011).”
- Disruption risks in supply chain management: a literature review based on bibliometric analysis (2020, background): “Furthermore, burst detection on keywords was detected to discuss the booming topics in this research area (Chen, Dubin, and Kim 2014; Yu and Xu 2017).”