Mapping Nutrition and Tuberculosis Research: Insights From Bibliometric Perspective

透视图(图形) 肺结核 文献计量学 计算机科学 区域科学 地理 医学 图书馆学 人工智能 病理
作者
Chenqi Li,Biao Gao,Hong‐Mei Xiao,Wenjing Shi,Hongtao Lu,G. P. Miao,Xiaohua Tu,Yuxiao Tang,Hui Shen
出处
期刊:Clinical and Experimental Pharmacology and Physiology [Wiley]
卷期号:52 (10): e70069-e70069
标识
DOI:10.1111/1440-1681.70069
摘要

ABSTRACT Background Malnutrition and tuberculosis form a mutually reinforcing vicious cycle. While nutritional interventions are crucial for TB management, the knowledge structure and research frontiers remain insufficiently characterised. Objective To systematically analyse the structure, trajectory and frontiers of research in the nutrition‐tuberculosis field using bibliometric methods. Methods Relevant literature published since 2007 was retrieved from the Web of Science Core Collection database. CiteSpace was employed to perform multidimensional analyses, including co‐occurrence, cluster timeline visualisation and burst detection for keywords, citations and authors, thereby constructing knowledge maps and identifying key nodes through network centrality metrics. Results A total of 4502 bibliographic records were analysed. Key findings include: (1) Vitamin D occupies a central position (frequency 326, centrality 70), bridging basic immune mechanisms and clinical applications; (2) research paradigms evolved from molecular mechanism exploration (2007–2012), through clinical translation validation (2011–2019), to systems biology integration (2019–2025); (3) gut microbiota (burst strength 11.73) and (fatty) acids emerged as frontiers; (4) diabetes–tuberculosis comorbidity revealed the complexity of metabolic‐immune interaction networks and (5) high citation frequency of WHO reports indicates a pressing need for translating research into policy. Conclusions Nutrition–tuberculosis research is shifting from single‐nutrient studies towards integrated ‘nutrition–microbiome–metabolism–immunity’ networks. Vitamin D remains central, but future priorities should focus on precision interventions, multi‐omics integration and translation from mechanism to practice, especially for high‐risk groups.
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
俏皮的桐完成签到,获得积分20
刚刚
CipherSage应助人机采纳,获得10
刚刚
丘比特应助郎中张先森采纳,获得10
刚刚
NexusExplorer应助郎中张先森采纳,获得10
刚刚
星辰大海应助郎中张先森采纳,获得10
刚刚
JamesPei应助郎中张先森采纳,获得10
1秒前
小蘑菇应助郎中张先森采纳,获得10
1秒前
小马甲应助郎中张先森采纳,获得10
1秒前
NexusExplorer应助郎中张先森采纳,获得10
1秒前
苹果金毛完成签到,获得积分10
1秒前
JGZ发布了新的文献求助10
1秒前
1秒前
CodeCraft应助菌根采纳,获得10
1秒前
2秒前
大模型应助shu采纳,获得30
2秒前
3秒前
小透明发布了新的文献求助10
3秒前
orixero应助陌路采纳,获得10
4秒前
4秒前
迷路皮皮虾完成签到 ,获得积分10
4秒前
无极微光应助俏皮的桐采纳,获得50
5秒前
苹果金毛发布了新的文献求助10
5秒前
大气的小蜜蜂完成签到,获得积分10
5秒前
会飞的史迪奇完成签到,获得积分10
5秒前
6秒前
clx发布了新的文献求助10
6秒前
6秒前
刘琪琪发布了新的文献求助10
8秒前
8秒前
Amber发布了新的文献求助10
8秒前
8秒前
上官若男应助11采纳,获得10
9秒前
orixero应助Sledge采纳,获得10
10秒前
10秒前
YOMU发布了新的文献求助20
10秒前
11秒前
3071212411完成签到 ,获得积分10
11秒前
11秒前
11秒前
Hello应助郎中张先森采纳,获得10
12秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7287907
求助须知:如何正确求助?哪些是违规求助? 8907654
关于积分的说明 18852065
捐赠科研通 6956629
什么是DOI,文献DOI怎么找? 3208726
关于科研通互助平台的介绍 2378592
邀请新用户注册赠送积分活动 2184563