# Xiaojun Yao

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/xiaojun-yao/

## Facts

| Field | Value |
| --- | --- |
| Citations | 20,761 |
| Field | Computational Drug Discovery Methods |
| h-index | 66 |
| i10-index | 440 |
| Last Known Institution | Chinese Academy of Sciences |
| OpenAlex ID | https://openalex.org/A5037785133 |
| ORCID iD | https://orcid.org/0000-0002-8974-0173 |
| Works | 664 |

## Researcher papers

- [An effective self-supervised framework for learning expressive molecular global representations to drug discovery](https://scholariq.org/papers/an-effective-self-supervised-framework-for-learning-expressive-molecular-global/)

## Researcher topics

- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)
- [Protein Interaction Studies and Fluorescence Analysis](https://scholariq.org/topics/protein-interaction-studies-and-fluorescence-analysis/)
- [Protein Structure and Dynamics](https://scholariq.org/topics/protein-structure-and-dynamics/)
- [Analytical Chemistry and Chromatography](https://scholariq.org/topics/analytical-chemistry-and-chromatography/)
- [Drug Transport and Resistance Mechanisms](https://scholariq.org/topics/drug-transport-and-resistance-mechanisms/)

## Researcher university

- [Chinese Academy of Sciences](https://scholariq.org/institutions/chinese-academy-of-sciences/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.