# Prediction of strain level phage–host interactions across the Escherichia genus using only genomic information

*PRI Rank #3 · Topics and Trends in Most Cited Bacteriophages and microbial interactions Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/bacteriophages-and-microbial-interactions/2026/rank-3*

| Field | Value |
| --- | --- |
| Rank | #3 |
| 18m citations | 110 |
| Journal | Nature Microbiology |
| Year | 2024 |
| DOI | 10.1038/s41564-024-01832-5 |
| Corresponding authors | Baptiste Gaborieau |
| Institution | Université Paris Cité, France |

**Ranking page:** [Topics and Trends in Most Cited Bacteriophages and microbial interactions Papers, Class of 2026](https://pri.pepkio.com/top-papers/bacteriophages-and-microbial-interactions/2026)

**Paper link:** [10.1038/s41564-024-01832-5](https://doi.org/10.1038/s41564-024-01832-5)

## Topics

Phage-host interactions · Strain-level prediction · Escherichia coli · Genomic features · Bacteriophages · Host range · computational prediction model · phage receptor binding proteins · Bacterial surface receptors · machine learning · Genomic features · phage infectivity · Escherichia coli · Phage genomes · host genome sequences · cross-strain prediction

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Bacteriophages and microbial interactions Papers, Class of 2026. https://pri.pepkio.com/top-papers/bacteriophages-and-microbial-interactions/2026. Accessed 2026-07-17.

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
```