# Nonlinear dynamics of multi-omics profiles during human aging

*PRI Rank #2 · Topics and Trends in Most Cited Adipose Tissue and Metabolism Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/adipose-tissue-and-metabolism/2026/rank-2*

| Field | Value |
| --- | --- |
| Rank | #2 |
| 18m citations | 310 |
| Journal | Nature Aging |
| Year | 2024 |
| DOI | 10.1038/s43587-024-00692-2 |
| Corresponding authors | M Snyder |
| Institution | Stanford University, United States |

**Ranking page:** [Topics and Trends in Most Cited Adipose Tissue and Metabolism Papers, Class of 2026](https://pri.pepkio.com/top-papers/adipose-tissue-and-metabolism/2026)

**Paper link:** [10.1038/s43587-024-00692-2](https://doi.org/10.1038/s43587-024-00692-2)

## Topics

nonlinear aging dynamics · Multi-omics · longitudinal cohort study · Aging biomarker · 44-year transition point · 60-year transition point · immune regulation · carbohydrate metabolism · cardiovascular disease pathways · lipid metabolism · alcohol metabolism · age-related molecular dysregulation · Healthspan · aging-related disease risk acceleration · functional pathway transitions

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Adipose Tissue and Metabolism Papers, Class of 2026. https://pri.pepkio.com/top-papers/adipose-tissue-and-metabolism/2026. Accessed 2026-07-22.

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
```