# Plasma proteomic profiles predict future dementia in healthy adults

*PRI Rank #9 · Topics and Trends in Most Cited Alzheimer's disease research and treatments Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/alzheimer-s-disease-research-and-treatments/2026/rank-9*

| Field | Value |
| --- | --- |
| Rank | #9 |
| 18m citations | 160 |
| Journal | Nature Aging |
| Year | 2024 |
| DOI | 10.1038/s43587-023-00565-0 |
| Corresponding authors | Jianfeng Feng, Wei Cheng, Jin‐Tai Yu |
| Institution | Fudan University, China |

**Ranking page:** [Topics and Trends in Most Cited Alzheimer's disease research and treatments Papers, Class of 2026](https://pri.pepkio.com/top-papers/alzheimer-s-disease-research-and-treatments/2026)

**Paper link:** [10.1038/s43587-023-00565-0](https://doi.org/10.1038/s43587-023-00565-0)

## Topics

Plasma proteomics · biomarkers of dementia risk · prospective cohort study · preclinical dementia prediction · protein biomarker panel · healthy adult population · cognitive decline prediction · high-throughput proteomic profiling · machine learning risk prediction models · Neurodegeneration biomarkers

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Alzheimer's disease research and treatments Papers, Class of 2026. https://pri.pepkio.com/top-papers/alzheimer-s-disease-research-and-treatments/2026. Accessed 2026-07-24.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```