Evidence map›Paper›PMID 40207548›Full record

ArticleHuman vaccines & immunotherapeutics2025

Past, present, and future of exosomes research in cancer: A bibliometric and visualization analysis.

Yafei Xie, Xingqi Mi, Yikai Xing, Zhangyi Dai, Qiang Pu

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Yafei XieDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, China.
Xingqi MiDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, China.
Yikai XingDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, China.
Zhangyi DaiDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, China.
Qiang PuDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer seriously threatens the lives and health of people worldwide, and exosomes seem to play an important role in managing cancer effectively, which has attracted extensive attention from researchers in recent years. This study aimed to scientifically visualize exosomes research in cancer (ERC) through bibliometric analysis, reviewing the past, summarizing the present, and predicting the future, with a view to providing valuable insights for scholars and policy makers. Researches search and data collection from Web of Science Core Collection and clinical trial.gov. Calculations and visualizations were performed using Microsoft Excel, VOSviewer, Bibliometrix R-package, and CiteSpace. As of December 1, 2024, and March 8, 2025, we identified 8,001 ERC-related publications and 107 ERC-related clinical trials, with an increasing trend in annual publications. Our findings supported that China, Nanjing Medical University, and International Journal of Molecular Sciences were the most productive countries, institutions, and journals, respectively. Whiteside, Theresa L. had the most publications, while Théry, C was the most co-cited scholar. In addition, Cancer Research was the most co-cited journal. Spatial and temporal distribution of clinical trials was the same as for publications. High-frequency keywords were "extracellular vesicle," "microRNA" and "biomarker." Additional, "surface functionalization," "plant," "machine learning," "nanomaterials," "promotes metastasis," "engineered exosomes," and "macrophage-derived exosomes" were promising research topics. Our study comprehensively and visually summarized the structure, hotspots, and evolutionary trends of ERC. It would inspire subsequent studies from a macroscopic perspective and provide a basis for rational allocation of resources and identification of collaborations among researchers.

Indexed as

BibliometricsBiomedical ResearchExosomesNeoplasmsClinical Trials as TopicHumansbibliometric analysisCancerexosomesvisualization analysis

Identifiers

PMID40207548
PMCPMC11988232

What OpenQuestion holds

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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 OpenQuestion graph.