Global research trends in hyperuricemia: a bibliometric and visualized study

MODERN RHEUMATOLOGY(2022)

引用 3|浏览4
暂无评分
摘要
Objectives The global trend of research on hyperuricaemia (HUA) has not been well studied. Therefore, this study aimed to investigate the trend of research on HUA and compare the findings in publications from different countries, institutions, journals, and authors, to predict the research hotspots. Methods Publications related to HUA were searched using the Science Citation Index-Expanded Web of Science. The data were analysed by using the bibliometric methodology. Additionally, a graphical mapping was generated by using the VOS viewer software to carry out a co-occurrence analysis and to investigate the trend of publications in this field. Results A total of 6313 articles were included. The number of publications was increasing globally yearly. USA was the leading country in global research in this field, with the largest number of publications and citations as well as the highest H-index (H-index reflects both the number of publications and the number of citations per publication). PLOS One published the largest number of publications related to HUA. JOHNSON RJ T has published the largest number of papers in this field. Published studies could be classified into six clusters: 'Pathophysiology', 'HUA and metabolic syndrome', 'HUA and cardiovascular disease', 'HUA and gout', 'HUA and nephropathy', and 'Genome-wide research'. 'Pathophysiology', 'HUA and cardiovascular disease', 'HUA and gout', and 'Genome-wide research' were predicted as the next hot topics in HUA research. Conclusions USA was the leading country in global research in this field. It is expected that an increasing research output will continue to be observed in the near future. 'Pathophysiology', 'HUA and cardiovascular disease', 'HUA and gout', and 'Genome-wide research' may be the next hotspots and hence need more attention in the future.
更多
查看译文
关键词
Hyperuricaemia, bibliometrics, visualised study, global trends
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要