# Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis

*PRI Rank #14 · Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026/rank-14*

| Field | Value |
| --- | --- |
| Rank | #14 |
| 18m citations | 115 |
| Journal | Nature Methods |
| Year | 2024 |
| DOI | 10.1038/s41592-024-02235-4 |
| Corresponding authors | Wenpin Hou, Zhicheng Ji |
| Institution | Columbia University Mailman School of Public Health, United States |

**Ranking page:** [Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026](https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026)

**Paper link:** [10.1038/s41592-024-02235-4](https://doi.org/10.1038/s41592-024-02235-4)

## Topics

GPT-4 · large language model · Cell type annotation · Single-cell RNA sequencing · marker genes · manual annotation · Concordance evaluation · automated annotation · GPTCelltype · R software · tissue types · Single-cell RNA sequencing

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026. https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026. Accessed 2026-07-14.

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
```