Evidence mapPaperPMID 41928870Full record

ReviewInternational journal of cardiology. Heart & vasculature2026

Application of metabolomics in hypertension research: A bibliometric study and literature review.

Ran Wei, Ning Xu, Wenjing Chen, Huihui Song, Kewei Liu, Yunsheng Xu

Abstract readReview
In one paragraph

Review in International journal of cardiology. Heart & vasculature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ran WeiShandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.
Ning XuPLA 960th Hospital, People's Republic of China.
Wenjing ChenShandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.
Huihui SongShandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.
Kewei LiuPLA 960th Hospital, People's Republic of China.
Yunsheng XuShandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease has always been the leading cause of death in the global population. Hypertension (HTN) is widely recognized as one of the most critical risk factors for severe cardiovascular disease. In recent years, an increasing number of studies have found that omics research is needed to identify alternative/orthogonal biomarkers in order to gain new insights into disease mechanisms. Metabolomics has undeniable contributions and prospects in HTN research. Therefore, exploring the key research areas and potential interaction mechanisms between metabolomics and HTN has become increasingly important. Methods: Use the Web of Science Core Collection (WOSCC) to search for literature related to HTN and metabolomics from 2005 to 2024. The bibliometric tools used in this study include CiteSpace 6.3.R1 (CiteSpace) and VOSviewer 1.6.20 (VOSviewer). Results: A total of 1211 articles were included from 2005 to 2024. In the past 20 years, the number of publications and citations in this field has continued to increase. These articles involve 73 countries (regions), 2085 institutions, and 8255 authors. These articles have been published in 479 journals, with 117 references appearing more than 15 times. The increasing number of studies in this field indicates that it remains a research hotspot. We expect that this field will continue to receive attention in the future. The United States and China lead in the number of published articles, while England has the widest international cooperation, indicating its continued prominent position as a research center in this field. Among them, the papers published by D'Alessandro Angelo, Li Yunlun, Coresh Josef, and others have the highest publication volume. Publications in this field often appear in omics, nutrition, cardiovascular and molecular biology. The most common keywords include Metabolomics, Hypertension, Biomarkers, Metabolism, Oxidative stress, Inflammation, and Insulin resistance. Conclusion: The relationship between metabolomics and HTN is receiving widespread attention. The application of gut microbiota, molecular docking, and untargeted metabolomics in HTN is a key research direction in the future. Antioxidant activity, genetics, validation, mass spectrometry, management, and accumulation are at the forefront of knowledge in this field.

Indexed as

BibliometricsCitespaceHypertensionMetabolomicsVOSviewer

Identifiers

PMID41928870
PMCPMC13040275

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.