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The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023
Xiaoyu Sun, Jianghua Zhu, Ruijiang Li, Yun Feng Peng, Lianggeng Gong. Frontiers in Neurology, 2025-01-15
Topic: Amyloid, tau and blood-test diagnosis
A total of 13,659 articles were obtained in this study. The number of published articles showed overall exponential growth from 2004 to 2023. The top country and institution were the United States and the University of California System, accounting for 40.30% and 9.88% of the total studies, respectively. Jack CR from the United States was the most productive author. The most productive journal was the Journal of Alzheimers Disease. Keyword burst analysis revealed that "machine learning" and "deep learning" were the keywords that frequently appeared in the past 6 years. Timeline views of the references revealed that "#0 tau pathology" and "#1 deep learning" are currently the latest research focuses. This study provides an in-depth overview of publications on MRI studies in AD. The United States is the leading country in this field with a concentration of highly productive researchers and high-level institutions. The current research hotspot is deep learning, which is being applied to develop noninvasive diagnosis and safer treatment of AD.
Key findings
- A total of 13,659 articles were obtained in this study.
- The number of published articles showed overall exponential growth from 2004 to 2023.
- The top country and institution were the United States and the University of California System, accounting for 40.30% and 9.88% of the total studies, respectively.
- Jack CR from the United States was the most productive author.
- The most productive journal was the Journal of Alzheimers Disease.
Why it matters
A bibliometric analysis of 13,659 MRI articles in Alzheimer's disease from 2004 to 2023 found exponential growth in publications and identified machine learning and deep learning as recent keyword hotspots. This describes research trends, not a treatment, cure, or prevention.
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Study details
- Participants13,659
- Effect sizeor 40.30; 9.88%
- Evidence strengthLow
How this study scored 47/100
Published in a peer-reviewed journal. Scored zero for study design and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Frontiers in Neurology) |
| Journal's citation record | 2 / 4 | Frontiers in Neurology: journal h-index 162 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| 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 | 4 / 4 | 13,659 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 2 / 7 | Cited 11 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 3.7 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 3 / 6 | Cited 7.0× 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 | 1 / 4 | Cited 11 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Lianggeng Gong: h-index 14 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | Nanchang University: institution h-index 361 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 39882364) |
| Free to read | 2 / 2 | Free to read |
| Total | 47 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.3389/fneur.2024.1510522
- PubMed: 39882364
- Original source →
- Free full text: Frontiers in Neurology →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
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.
APA 7th
Sun, X., Zhu, J., Li, R., Peng, Y. F., & Gong, L. (2025). The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023. Frontiers in Neurology. https://doi.org/10.3389/fneur.2024.1510522
Vancouver
Sun X, Zhu J, Li R, Peng YF, Gong L. The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023. Frontiers in Neurology. 2025. doi:10.3389/fneur.2024.1510522. PMID: 39882364.
BibTeX
@article{sun2025-39882364,
author = {Sun, Xiaoyu and Zhu, Jianghua and Li, Ruijiang and Peng, Yun Feng and Gong, Lianggeng},
title = {{The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023}},
journal = {Frontiers in Neurology},
year = {2025},
doi = {10.3389/fneur.2024.1510522},
pmid = {39882364},
url = {https://doi.org/10.3389/fneur.2024.1510522}
}
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here. Showing 12 of 39.