Home › Research › Inflammation and the immune system
Mapping the research landscape of Mild Cognitive Impairment in Parkinson's disease: a bibliometric and visualization analysis
Peng Y, Chen H, Peng K, Li L, Ma Z.. Frontiers in aging neuroscience, 2025-09-10
Topic: Risk, prevention and care in population studies
Background Mild Cognitive Impairment in Parkinson's disease, a common non-motor symptom of Parkinson's disease, significantly impacts individuals' quality of life and predicts dementia risk, underscoring its clinical research importance. This study aimed to characterize the global bibliometric landscape and identify research hotspots, knowledge gaps, and future trends in the PD-MCI field over the past two decades using bibliometric and visualization methods. Methods Literature related to PD-MCI published between 2005 and 2024 was retrieved from the Web of Science Core Collection database. Tools such as CiteSpace and VOSviewer were employed for visual analysis of annual publication volume, country/institutional distribution, author collaborations, journal co-citations, and keyword co-occurrence and bursts, constructing knowledge maps. Results Mild cognitive impairment in Parkinson's disease research demonstrated significant growth, with sustained increases in annual publication volume and citation frequency. The United States dominated the field, while research output from countries like China grew rapidly. Research hotspots evolved from early explorations of molecular mechanisms toward clinical and translational studies focusing on neuroimaging, biomarkers, application of MDS diagnostic criteria, non-motor symptoms, and cognitive subtypes. Recently, machine learning, multi-omics integration, neuroinflammation, and mitochondrial function have emerged as new frontiers. Conclusion Mild cognitive impairment in Parkinson's disease research has progressed from basic mechanism exploration to a multidisciplinary, integrated clinical-basic stage, following an evolutionary path of "pathological mechanism - clinical phenotype - biomarker - intervention strategy." Future research should focus on unifying diagnostic criteria, deepening understanding of multifactorial pathological mechanisms, developing precise biomarker combinations, and exploring individualized intervention strategies to achieve early warning and disease modification for PD-MCI.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Peng, Y., Chen, H., Peng, K., Li, L., & Ma, Z. (2025). Mapping the research landscape of Mild Cognitive Impairment in Parkinson's disease: a bibliometric and visualization analysis. Frontiers in aging neuroscience. https://doi.org/10.3389/fnagi.2025.1624420
Vancouver
Peng Y, Chen H, Peng K, Li L, Ma Z. Mapping the research landscape of Mild Cognitive Impairment in Parkinson's disease: a bibliometric and visualization analysis. Frontiers in aging neuroscience. 2025. doi:10.3389/fnagi.2025.1624420. PMID: 41001154.
BibTeX
@article{peng2025-41001154,
author = {Peng, Y. and Chen, H. and Peng, K. and Li, L. and Ma, Z.},
title = {{Mapping the research landscape of Mild Cognitive Impairment in Parkinson's disease: a bibliometric and visualization analysis}},
journal = {Frontiers in aging neuroscience},
year = {2025},
doi = {10.3389/fnagi.2025.1624420},
pmid = {41001154},
url = {https://doi.org/10.3389/fnagi.2025.1624420}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- Background Mild Cognitive Impairment in Parkinson's disease, a common non-motor symptom of Parkinson's disease, significantly impacts individuals' quality of life and predicts dementia risk, underscoring its clinical research importance.
- Results Mild cognitive impairment in Parkinson's disease research demonstrated significant growth, with sustained increases in annual publication volume and citation frequency.
Why it matters
This analysis mapped two decades of published research on mild cognitive impairment in Parkinson's disease, a problem that predicts later dementia. Output has grown steadily, led by the United States with China rising fast, and the focus has shifted from basic mechanisms toward brain imaging, biomarkers and diagnostic criteria, with machine learning and neuroinflammation as newer topics. It describes research trends rather than treatment results, and calls for unified diagnostic criteria and better biomarker combinations.
Study details
- Study designsystematic review
- Evidence strengthLow
How this study scored 43/100
Published in a peer-reviewed journal, and it is a systematic review of all the studies on the question. Scored zero for sample size, effect reported and studied in people because the record does not state it. We have no data on senior author's track record and institution's track record, so those were left out: it earned 40 of the 93 points we could judge it on, which is 43 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Frontiers in aging neuroscience) |
| Journal's citation record | 2 / 4 | Frontiers in Aging Neuroscience: journal h-index 174 (OpenAlex, 2026-10-29) |
| Study design | 12 / 12 | A systematic review of all the studies on the question |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | A review of other studies — randomisation is not credited here |
| Times cited | 0 / 7 | Cited 0 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.0 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 0 / 6 | Cited 0.0× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 0 / 4 | Cited 0 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | 0 / 3 | OpenAlex lists 0 institution(s) in 0 countries — scores zero (affiliation lists can be incomplete) |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41001154) |
| Free to read | 2 / 2 | Free to read |
| Points | 40 / 93 | Scored on 18 of 20 parts. We have no data for the rest, so they are left out: 40 of the 93 points we could judge it on is 43 out of 100. |
| Total | 43 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.3389/fnagi.2025.1624420
- PubMed: 41001154
- Original source →
- Free full text: Frontiers in Aging Neuroscience →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Related
Studies in the library that share something with this one. The line above each title says what.
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here.
Related studies in Inflammation and the immune system
Also tagged “mini-mental”
840 studies in the library carry the topic tag “mini-mental”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 840 tagged studies.