# Automated in vivo enzyme engineering accelerates biocatalyst optimization

*PRI Rank #8 · Topics and Trends in Most Cited Microbial Metabolic Engineering and Bioproduction Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/microbial-metabolic-engineering-and-bioproduction/2026/rank-8*

| Field | Value |
| --- | --- |
| Rank | #8 |
| 18m citations | 55 |
| Journal | Nature Communications |
| Year | 2024 |
| DOI | 10.1038/s41467-024-46574-4 |
| Corresponding authors | Steffen N. Lindner |
| Institution | Technical University of Denmark, Denmark |

**Ranking page:** [Topics and Trends in Most Cited Microbial Metabolic Engineering and Bioproduction Papers, Class of 2026](https://pri.pepkio.com/top-papers/microbial-metabolic-engineering-and-bioproduction/2026)

**Paper link:** [10.1038/s41467-024-46574-4](https://doi.org/10.1038/s41467-024-46574-4)

## Topics

Enzyme engineering · Enzyme engineering · Machine learning for enzyme design · automated workflows · hypermutation systems · Adaptive laboratory evolution · Growth-coupled selection · in vivo screening · bio-based processes · Enzyme optimization · Enzyme optimization · Enzyme function prediction · library generation · directed evolution · Enzyme engineering

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Microbial Metabolic Engineering and Bioproduction Papers, Class of 2026. https://pri.pepkio.com/top-papers/microbial-metabolic-engineering-and-bioproduction/2026. Accessed 2026-07-29.

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
```