Evidence map›Paper›PMID 41267150›Full record

ArticleHereditas2025

Mapping the global research landscape of mitophagy in Parkinson's disease: a bibliometric and visualization analysis.

Junqiao Zhao, Qian Wang, Yan Cao, Huimin Shan, Shifen Xu

Abstract read
In one paragraph

Article in Hereditas, 2025. 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

5 authors.

Junqiao Zhao *Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Qian Wang *Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yan Cao *Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Huimin ShanHarvard Medical School, Brigham and Women's Hospital, Boston, USA.
Shifen XuShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China. xu_teacher2006@126.com.

Funding

Shanghai Municipal Health Commission shzyyzdxk-2024108
6 · The paper itself

Abstract

Parkinson's disease (PD) is closely linked to mitochondrial dysfunction and mitophagy, a key mechanism in PD pathogenesis. However, no dedicated bibliometric analysis of mitophagy in PD exists. This study used data from the Web of Science Core Collection to map the global research landscape of mitophagy in PD. The analysis of 1,578 publications (2007-2024) identifies the United States as the most productive country. McGill University ranks as the top institution, and Nobutaka Hattori is the most prolific author. The journal Autophagy is the journal with the highest number of publications in this field. Core research themes included PINK1/Parkin, mitochondrial quality control, α-synuclein, neuroinflammation, and ferroptosis. The study provides insights into the current status of global collaboration and translational progress in this field. Future efforts should aim to further explore new pathways, enhance clinical translation, and promote collaborative partnerships to advance research and address challenges in the field.

Indexed as

BibliometricsMitophagyParkinson DiseaseHumansMitochondriaProtein KinasesPTEN-Induced Putative KinaseUbiquitin-Protein Ligasesparkin proteinProtein KinasesPTEN-Induced Putative KinaseUbiquitin-Protein LigasesBibliometric analysisMitophagyParkinson’s diseasePINK1/Parkin

Identifiers

PMID41267150
PMCPMC12632019

What Socratic holds

Textmetadata
LicenceCC BY
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.