Global research trends in hyperuricemia: a bibliometric and visualized study

医学 文献计量学 科学引文索引 科学网 图书馆学 引用 内科学 老年学 荟萃分析 计算机科学
作者
Qingxi Zhang,Hui Li,Dan Xing,Jianhao Lin
出处
期刊:Modern Rheumatology [Informa]
卷期号:32 (3): 619-625 被引量:4
标识
DOI:10.1093/mr/roab031
摘要

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.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.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.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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
青囊药语完成签到,获得积分20
刚刚
刚刚
刚刚
1秒前
2秒前
萧锦铉发布了新的文献求助10
2秒前
3秒前
4秒前
4秒前
英俊的铭应助xiaofu采纳,获得10
5秒前
故意的初阳完成签到 ,获得积分10
6秒前
GRDGRDGRD发布了新的文献求助10
7秒前
7秒前
只只发布了新的文献求助30
8秒前
miao发布了新的文献求助10
8秒前
徐rl完成签到 ,获得积分10
8秒前
科研通AI5应助温柔的灵萱采纳,获得10
9秒前
9秒前
我是老大应助小红花采纳,获得10
9秒前
尹宁发布了新的文献求助10
9秒前
10秒前
yang完成签到,获得积分10
11秒前
我是老大应助青囊药语采纳,获得10
11秒前
袁大头发布了新的文献求助10
11秒前
11秒前
李爱国应助ff采纳,获得10
12秒前
cc驳回了大模型应助
12秒前
yang发布了新的文献求助10
13秒前
科研通AI5应助于贩野采纳,获得10
13秒前
zzz发布了新的文献求助30
13秒前
14秒前
故意的电灯胆完成签到,获得积分10
14秒前
15秒前
Woo发布了新的文献求助10
15秒前
15秒前
科研通AI5应助ayzyy采纳,获得10
15秒前
潘婷婷呀发布了新的文献求助10
16秒前
likaixuanzzz发布了新的文献求助10
16秒前
Owen应助尹宁采纳,获得10
17秒前
17秒前
高分求助中
Continuum Thermodynamics and Material Modelling 4000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Novel synthetic routes for multiple bond formation between Si, Ge, and Sn and the d- and p-block elements 700
Neuromuscular and Electrodiagnostic Medicine Board Review 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3515049
求助须知:如何正确求助?哪些是违规求助? 3097391
关于积分的说明 9235300
捐赠科研通 2792358
什么是DOI,文献DOI怎么找? 1532422
邀请新用户注册赠送积分活动 712063
科研通“疑难数据库(出版商)”最低求助积分说明 707107