# Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data

*PRI Rank #17 · Topics and Trends in Most Cited Genomics and Chromatin Dynamics Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/genomics-and-chromatin-dynamics/2026/rank-17*

| Field | Value |
| --- | --- |
| Rank | #17 |
| 18m citations | 60 |
| Journal | Nature Biotechnology |
| Year | 2024 |
| DOI | 10.1038/s41587-024-02182-7 |
| Corresponding authors | Zhana Duren |
| Institution | Clemson University, United States |

**Ranking page:** [Topics and Trends in Most Cited Genomics and Chromatin Dynamics Papers, Class of 2026](https://pri.pepkio.com/top-papers/genomics-and-chromatin-dynamics/2026)

**Paper link:** [10.1038/s41587-024-02182-7](https://doi.org/10.1038/s41587-024-02182-7)

## Topics

LINGER · gene regulatory network inference · Single-cell multiomics · Chromatin accessibility · RNA sequencing · lifelong neural network · atlas-scale external data · Transcription factor binding motifs · manifold regularization · transcription factor activity estimation · genome-wide association studies · disease-associated variants · bulk gene expression data · single-cell gene expression · driver regulators · case-control studies

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Genomics and Chromatin Dynamics Papers, Class of 2026. https://pri.pepkio.com/top-papers/genomics-and-chromatin-dynamics/2026. Accessed 2026-10-28.

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
```