Evidence map›Paper›PMID 38882284›Full record

ReviewHeliyon2024

Mapping the current trends of autophagy in retinal diseases: A bibliometric analysis.

Chengzhi Liu, Xiaonan Li, Laraib Imdad, Shengnan Xu, Jun Li, Xiang Ren

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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

6 authors.

Chengzhi LiuThe First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Xiaonan LiThe First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Laraib ImdadDepartment of Histology and Embryology, College of Basic Medicine, Dalian Medical University, Dalian, 116044, China.
Shengnan XuDepartment of Histology and Embryology, College of Basic Medicine, Dalian Medical University, Dalian, 116044, China.
Jun LiThe First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Xiang RenDepartment of Histology and Embryology, College of Basic Medicine, Dalian Medical University, Dalian, 116044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several scholarly publications have thoroughly examined the significant role of autophagy in the pathogenesis, progression, and treatment of retinal diseases. This research utilized bibliometric analysis to identify the primary areas of focus and emerging trends within the discipline and offer a comprehensive summary. Methods: The research articles and reviews regarding autophagy and retinal diseases from 2009-01-01 to 2022-12-31 were from the Web of Science Core Collection (WOSCC). The software VOSviewer and CiteSpace were applied to analyze and visualize maps of countries, organizations, authors, journals, keyword networks, and citations in the field of autophagy in retinal diseases. Results: 854 qualified records (721 articles and 133 reviews) were retrieved in this research. The annual publication output of literature shows a growing trend. China is the most productive country, and the author with the most publications is Kai Kaarniranta. Journal Conclusions: With the bibliometric analysis approach, we presented the number of publications, countries, regions, authors, institutions, keywords, and citations, which further helps researchers understand the hot spots and trends in the field of autophagy in retinal diseases and explore the issues in the rapidly developing area.

Indexed as

AutophagyBibliometric analysisCiteSpaceRetinal diseasesVOSviewerWeb of science

Identifiers

PMID38882284
PMCPMC11176856

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.