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. 2017 Sep 12;8(47):83114-83127.
doi: 10.18632/oncotarget.20851. eCollection 2017 Oct 10.

Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis

Yan Miao  1 , Si-Yi Xu  1 , Lu-Si Chen  2 , Ge-Yu Liang  1 , Yue-Pu Pu  1 , Li-Hong Yin  1
Affiliations

Trends of long noncoding RNA research from 2007 to 2016: a bibliometric analysis

Yan Miao et al. Oncotarget. .

Abstract

Purpose: This study aims to analyze the scientific output of long noncoding RNA (lncRNA) research and construct a model to evaluate publications from the past decade qualitatively and quantitatively.

Methods: Publications from 2007 to 2016 were retrieved from the Web of Science Core Collection database. Microsoft Excel 2016 and CiteSpace IV software were used to analyze publication outputs, journals, countries, institutions, authors, citation counts, ESI top papers, H-index, and research frontiers.

Results: A total of 3,008 papers on lncRNA research were identified published by June 17, 2017. The journal, Oncotarget (IF2016, 5.168) ranked first in the number of publications. China had the largest number of publications (1,843), but the United States showed its dominant position in both citation frequency (45,120) and H-index (97). Zhang Y (72 publications) published the most papers, and Guttman M (1,556 citations) had the greatest co-citation counts. The keyword "database" ranked first in research frontiers.

Conclusion: The annual number of publications rapidly increased in the past decade. China showed its significant progress in lncRNA research, but the United States was the actual leading country in this field. Many Chinese institutions engaged in lncRNA research but significant collaborations among them were not noted. Guttman M, Mercer TR, Rinn JL, and Gupta RA were identified as good candidates for research collaboration. "Database," "Xist RNA," and "Genome-wide association study" should be closely observed in this field.

Keywords: CiteSpace IV; WoSCC; bibliometric; citation; lncRNA.

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Conflict of interest statement

CONFLICTS OF INTEREST The authors declare no financial interests in the findings described in this study.

Figures

Figure 1
Figure 1. Flow chart of lncRNA studies inclusion
Figure 2
Figure 2. Publication outputs and growth prediction
(A) The number of annual publications on lncRNA research from 2007 to 2016; (B) The model fitting curve of growth trend of lncRNA publications.
Figure 3
Figure 3. The dual-map overlay of journals related to lncRNA research
Figure 4
Figure 4. The analysis of countries and institutions
(A) Network map of countries/territories engaged in lncRNA research; (B) Network map of institutions engaged in lncRNA research.
Figure 5
Figure 5. The citation counts (×0. 01), H-index, and ESI top papers in the top four countries
Figure 6
Figure 6. The analysis of authors
(A) Network map of active authors contributed to lncRNA research; (B) Network map of co-cited authors contributed to lncRNA research.
Figure 7
Figure 7. The analysis of references
(A) Co-citation map of references from publications on lncRNA research; (B) Co-citation map (timeline view) of references from publications on lncRNA research.
Figure 8
Figure 8. The keywords with the strongest citation bursts of publications on lncRNA research
See this image and copyright information in PMC

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