1. The top 100 most-cited papers in long non-coding RNAs: a bibliometric study
- Author
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Jia-Bao Guo, Yi-Li Zheng, Juan Wang, Chang-Cheng Chen, Ge Song, Meng-Si Peng, and Xue-Qiang Wang
- Subjects
Research Report ,0301 basic medicine ,Pharmacology ,Cancer Research ,Bibliometric analysis ,Computer science ,Data science ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Oncology ,Bibliometrics ,Citation analysis ,030220 oncology & carcinogenesis ,Humans ,Molecular Medicine ,RNA, Long Noncoding ,Citation ,Research Paper ,Coding (social sciences) - Abstract
Up to 90% of the human genome is transcribed into Long-noncoding RNAs (lncRNAs) that longer than 200 nucleotides but do not code for proteins. LncRNAs play a vital role in a broad range of biological process, it’s dysregulations and mutations are linked to the development and progression of various complex human diseases. Given the dramatic changes and growing scientific outputs in lncRNAs field, using a quantitative measurement to analyze and characterize the existing studies has become imperative.Bibliometric analysis is a widely used tool to assess the academic influence of a publication or a country in a specific field. However, a bibliometric analysis of the top 100 most-cited papers in lncRNAs area has not been conducted. Thus, we executed a bibliometric study to identify the authors, journals, countries and institutions that contributed most to the top 100 lncRNAs list, characterize the key words and focus of top 100 most-cited papers, and detect the factors related to their successful citation. This study provides a comprehensive list of the most influential papers on lncRNAs research and demonstrates the important advances in this field, which might be benefit to researchers in their paper publication and scientific cooperation.
- Published
- 2020