# Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery

*PRI Rank #7 · Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026/rank-7*

| Field | Value |
| --- | --- |
| Rank | #7 |
| 18m citations | 158 |
| Journal | Nucleic Acids Research |
| Year | 2024 |
| DOI | 10.1093/nar/gkae1128 |
| Corresponding authors | Annalisa Buniello |
| Institution | Open Targets, United Kingdom |

**Ranking page:** [Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026](https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026)

**Paper link:** [10.1093/nar/gkae1128](https://doi.org/10.1093/nar/gkae1128)

## Topics

Open Targets Platform · drug target identification · target prioritisation · target-disease associations · therapeutic hypotheses · clinical precedence · Tractability · Tractability · safety attributes · direction of effect assessment · genetic variation · Target modulation · Risk assessment · knowledge base · Drug discovery · target annotation · evidence sources · mechanism of modulation

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026. https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026. Accessed 2026-07-22.

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
```