Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace

By Chaomei Chen, Zhigang Hu, Shengbo Liu, Hung Tseng. Expert Opinion on Biological Therapy, 2012

1,330 citations recorded by the source corpus.

Subfields: Molecular Biology, Physiology

View Paper: https://www.semanticscholar.org/paper/43c5e3381b51e469fb44089fb09e02590fd674dc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Chaomei Chen
2. Kevin W. Boyack
3. Richard Klavans
4. Henry G. Small
5. Jia-lin Hou
6. Xiucai Yang
7. Tong Xu
8. Hualiang Feng

In Physiology

1. Jia-lin Hou
2. Xiucai Yang
3. Chaomei Chen

Citations in the corpus

• Emerging trends and new developments in regenerative medicine: a scientometric update (2000 – 2014) (2014, methodology): “The dataset DA was used in our 2011 review of the field [10], which is used as a point of reference for the new review.”
• Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis (2015, background): “Note that WoS provides no keywords for articles published before 1991.”
• A Bibliometric Analysis and Visualization of Medical Big Data Research (2018, methodology): “It is used to obtain the quantitative and visual information in specific fields [25].”
• Identifying emerging topics in science and technology (2014, methodology): “Chen and colleagues used a combination of co-citation analysis and burst detection to characterize emerging trends in the fields of mass extinction and terrorism (Chen, 2006), peptic ulcer, gene targeting and string theory (Chen et al., 2009) and regenerative medicine (Chen et al., 2012).”
• Visualizing a field of research: A methodology of systematic scientometric reviews (2019, background): “For example, systematic reviews facilitated by using CiteSpace include a diverse range of research areas such as regenerative medicine [12], natural disaster research [13], greenhouse gas emission [14], and identifying disruptive innovation and emerging technology [15].”
• Greenhouse Gas Emissions from Landfills: A Review and Bibliometric Analysis (2019, background): “In addition, CiteSpace divides the co-citation network into a number of clusters of co-cited references such that the references are tightly connected within the same clusters but loosely connected between different clusters [53].”
• 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).”
• Science Mapping: A Systematic Review of the Literature (2017, background): “…of library and information science (Milojević et al., 2011) and a few studies that focus on domains with no apparent overlaps with computer and information science, for example regenerative medicine (Chen, Dubin, & Kim, 2014; Chen et al., 2012) and strategic management (Vogel & Güttel, 2013).”