# Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery

*PRI Rank #2 · Topics and Trends in Most Cited RNA Interference and Gene Delivery Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/rna-interference-and-gene-delivery/2026/rank-2*

| Field | Value |
| --- | --- |
| Rank | #2 |
| 18m citations | 156 |
| Journal | Nature Communications |
| Year | 2024 |
| DOI | 10.1038/s41467-024-55072-6 |
| Corresponding authors | Jinzhong Lin, Defang Ouyang |
| Institution | University of Macau, China |

**Ranking page:** [Topics and Trends in Most Cited RNA Interference and Gene Delivery Papers, Class of 2026](https://pri.pepkio.com/top-papers/rna-interference-and-gene-delivery/2026)

**Paper link:** [10.1038/s41467-024-55072-6](https://doi.org/10.1038/s41467-024-55072-6)

## Topics

Lipid nanoparticles · Ionizable lipids · mRNA delivery · apparent pKa prediction · AI-driven molecular design · In silico screening · DLin-MC3-DMA · SM-102 · structure-activity relationship · High-throughput screening · Lipid design · Delivery efficiency prediction · benzene ring motif · High-throughput screening · COVID-19 vaccines

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited RNA Interference and Gene Delivery Papers, Class of 2026. https://pri.pepkio.com/top-papers/rna-interference-and-gene-delivery/2026. Accessed 2026-07-21.

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
```