Evidence map›Paper›PMID 39022082›Full record

ArticleHeliyon2024

Current trends and research topics regarding organoids: A bibliometric analysis of global research from 2000 to 2023.

Yantong Wan, Jianan Ding, Zixuan Jia, Yinghao Hong, Guijie Tian, Shuqian Zheng, Pinfei Pan, Jieyan Wang, Hui Liang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

9 authors.

Yantong WanDepartment of Urology, People's Hospital of Longhua, Shenzhen, Guangdong, 518109, China.
Jianan DingSchool of Basic Medical Sciences, Southern Medical University Guangzhou, China.
Zixuan JiaSchool of Chinese Medicine, Southern Medical University, Guangzhou, China.
Yinghao HongGuangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Guijie TianSchool of Laboratory Medicine and Biotechnology, Southern Medical University Guangzhou, China.
Shuqian ZhengSchool of Basic Medical Sciences, Southern Medical University Guangzhou, China.
Pinfei PanThe First School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Jieyan WangDepartment of Urology, People's Hospital of Longhua, Shenzhen, Guangdong, 518109, China.
Hui LiangDepartment of Urology, People's Hospital of Longhua, Shenzhen, Guangdong, 518109, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of animal models for biological experiments is no longer sufficient for research related to human life and disease. The development of organ tissues has replaced animal models by mimicking the structure, function, development and homeostasis of natural organs. This provides more opportunities to study human diseases such as cancer, infectious diseases and genetic disorders. In this study, bibliometric methods were used to analyze organoid-related articles published over the last 20+ years to identify emerging trends and frontiers in organoid research. A total of 13,143 articles from 4125 institutions in 86 countries or regions were included in the analysis. The number of papers increased steadily over the 20-year period. The United States was the leading country in terms of number of papers and citations. Harvard Medical School had the highest number of papers published. Keyword analysis revealed research trends and focus areas such as organ tissues, stem cells, 3D culture and tissue engineering. In conclusion, this study used bibliometric and visualization methods to explore the field of organoid research and found that organ tissues are receiving increasing attention in areas such as cancer, drug discovery, personalized medicine, genetic disease modelling and gene repair, making them a current research hotspot and a future research trend.

Indexed as

CancerCiteSpaceDrug discoveryOrganoidsPersonalized medicineVOSviewer

Identifiers

PMID39022082
PMCPMC11253259

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.