Evidence mapPaperPMID 40544396Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2025

Mapping current research status and emerging frontiers of lipidomics: a comprehensive data-mining-based study.

Pengcheng Li, Zaijie Sun, Xiaofeng Chen, Qipeng Shao, Haiyang Wu

Abstract read
PubMed Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

5 authors.

Pengcheng Li *Department of Burn and Plastic Surgery, Children's Hospital, Zhengzhou University, Zhengzhou, China.
Zaijie Sun *Department of Orthopaedics, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
Xiaofeng Chen *Department of Orthopaedic Surgery, Yangxin People's Hospital, Yangxin, Hubei, China.
Qipeng ShaoDepartment of Orthopaedics, Ganzhou People's Hospital, Ganzhou, China. prince9419@163.com.
Haiyang WuDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. wuhaiyang2021@tmu.edu.cn.

Funding

Union Project of Medical and Technology Research Program of Henan Province LHGJ20240576, LHGJ20190948)
6 · The paper itself

Abstract

backgroundLipids are crucial biomolecules involved in various biological processes, with changes in lipid profiles closely linked to the development of multiple disorders. Recent advances in lipidomics have transformed our understanding of lipid metabolism, yet challenges remain, highlighting the need for a comprehensive bibliometric study to identify current research status and emerging frontiers in this rapidly evolving field.

methodsThis study collected publications related to lipidomics from the Web of Science Core Collection database. Bibliometric visualization was conducted using VOSviewer, CiteSpace, and an online analytical platform. A variety of bibliometric methods were employed, including co-authorship analysis, co-occurrence analysis, co-citation analysis, cluster analysis, and burst detection.

resultsA total of 7989 papers including 6961 research articles and 1028 review papers were identified. Over the past two decades, the annual number of publications on lipidomics has shown an overall increasing trend (R

conclusionsThis bibliometric analysis, for the first time, provides a detailed overview of the knowledge structure and highlights the evolving research trends in lipidomics over the past two decades. The systematic summary offers a clear and comprehensive understanding of lipidomics, and also deliver valuable perspectives for future research in this field.

Indexed as

Data MiningLipid MetabolismLipidomicsBibliometricsHumansLipidsLipidsBibliometricsData miningLipidomicsLipidsResearch hotspotsResearch status

Identifiers

PMID40544396

What Socratic holds

Textmetadata
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.