# SBSM-Pro: support bio-sequence machine for proteins

*PRI Rank #7 · Topics and Trends in Most Cited Genomics and Phylogenetic Studies Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/genomics-and-phylogenetic-studies/2026/rank-7*

| Field | Value |
| --- | --- |
| Rank | #7 |
| 18m citations | 235 |
| Journal | Science China Information Sciences |
| Year | 2024 |
| DOI | 10.1007/s11432-024-4171-9 |
| Corresponding authors | Yijie Ding, Quan Zou |
| Institution | University of Electronic Science and Technology of China, China |

**Ranking page:** [Topics and Trends in Most Cited Genomics and Phylogenetic Studies Papers, Class of 2026](https://pri.pepkio.com/top-papers/genomics-and-phylogenetic-studies/2026)

**Paper link:** [10.1007/s11432-024-4171-9](https://doi.org/10.1007/s11432-024-4171-9)

## Topics

SBSM-Pro · support bio-sequence machine · protein sequence analysis · machine learning for proteins · Biological sequence prediction

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Genomics and Phylogenetic Studies Papers, Class of 2026. https://pri.pepkio.com/top-papers/genomics-and-phylogenetic-studies/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
```