# Artificial intelligence-guided design of lipid nanoparticles for pulmonary gene therapy

*PRI Rank #5 · 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-5*

| Field | Value |
| --- | --- |
| Rank | #5 |
| 18m citations | 119 |
| Journal | Nature Biotechnology |
| Year | 2024 |
| DOI | 10.1038/s41587-024-02490-y |
| Corresponding authors | Daniel G. Anderson |
| Institution | Massachusetts Institute of Technology, United States |

**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/s41587-024-02490-y](https://doi.org/10.1038/s41587-024-02490-y)

## Topics

AI-driven molecular design · Lipid nanoparticles · Pulmonary delivery · LNP formulation optimization · machine learning for drug delivery · Pulmonary delivery · Nanoparticle design · Non-viral gene delivery vectors · structure-activity relationship · AI-driven molecular design · Nucleic acid delivery · Pulmonary delivery · In silico screening · Lipid design · Organ-targeted delivery

## 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
```