Xiaojun Yao

3.2k total citations · 1 hit paper
99 papers, 1.9k citations indexed

About

Xiaojun Yao is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Xiaojun Yao has authored 99 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 26 papers in Computational Theory and Mathematics and 15 papers in Materials Chemistry. Recurrent topics in Xiaojun Yao's work include Computational Drug Discovery Methods (26 papers), Protein Structure and Dynamics (11 papers) and Machine Learning in Materials Science (11 papers). Xiaojun Yao is often cited by papers focused on Computational Drug Discovery Methods (26 papers), Protein Structure and Dynamics (11 papers) and Machine Learning in Materials Science (11 papers). Xiaojun Yao collaborates with scholars based in Macao, China and United Kingdom. Xiaojun Yao's co-authors include Elaine Lai‐Han Leung, Xing‐Xing Fan, Qibiao Wu, Zebo Jiang, Liang Liu, Chun Xie, Ying Xie, Yuwei Wang, Liang Liu and Jumin Huang and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Analytical Chemistry.

In The Last Decade

Xiaojun Yao

92 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Luteolin and its derivative apigenin suppress the inducible PD-L1 expression to improve anti-tumor immunity in KRAS-mutant lung cancer

2021 177 citations Zebo Jiang, Jumin Huang et al. profile →

Peers

Xiaojun Yao

CTM

ONCOL

PHARM

Matthias Wirth Germany

Parvez Κhan India

Huihao Zhou China

Nam Doo Kim South Korea

Young‐Jin Chun South Korea

Tatu Pantsar Finland

Zunnan Huang China

John B. Bruning Australia

Tina S. Homayouni Canada

Weiwei Han China

Matthias Wirth Germany

Xiaojun Yao

1.3k ×1.4

515 ×1.7

CTM

453 ×1.8

ONCOL

266 ×1.1

PHARM

204 ×1.0

Citations per year, relative to Xiaojun Yao Xiaojun Yao (= 1×) peers Matthias Wirth

Countries citing papers authored by Xiaojun Yao

Since Specialization

Citations

This map shows the geographic impact of Xiaojun Yao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaojun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Yao more than expected).

Fields of papers citing papers by Xiaojun Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaojun Yao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaojun Yao. The network helps show where Xiaojun Yao may publish in the future.

Co-authorship network of co-authors of Xiaojun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Yao. A scholar is included among the top collaborators of Xiaojun Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaojun Yao. Xiaojun Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Wang, et al.. (2025). SQ-DiffuPep: A multimodal information-guided quantitative latent diffusion model for antimicrobial peptide discovery. Information Fusion. 121. 103119–103119.

Liu, Bo, et al.. (2025). DiffMC‐Gen: A Dual Denoising Diffusion Model for Multi‐Conditional Molecular Generation. Advanced Science. 12(22). e2417726–e2417726. 4 indexed citations

Tan, Ying, et al.. (2025). Discovery and Characterization of Novel Receptor-Interacting Protein Kinase 1 Inhibitors Using Deep Learning and Virtual Screening. ACS Chemical Neuroscience. 16(8). 1617–1630.

Chen, Mengyun, et al.. (2025). Fingerprint-enhanced hierarchical molecular graph neural networks for property prediction. Journal of Pharmaceutical Analysis. 15(6). 101242–101242. 3 indexed citations

Zhai, Silong, Jike Wang, Stephanie Lin, et al.. (2025). PepPCBench is a Comprehensive Benchmarking Framework for Protein–Peptide Complex Structure Prediction. Journal of Chemical Information and Modeling. 65(16). 8497–8513. 4 indexed citations

Guo, Yajie, Xi Wang, Longfei Mao, et al.. (2025). Design, Synthesis and Antiproliferative Activity Studies of Novel 1,2,3-Triazole-Urea Hybrids. Drug Design Development and Therapy. Volume 19. 9481–9499.

Fu, Xiangzheng, et al.. (2024). Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders. Future Generation Computer Systems. 160. 29–39. 4 indexed citations

Li, Shuai, Jike Wang, Odin Zhang, et al.. (2024). ClickGen: Directed exploration of synthesizable chemical space via modular reactions and reinforcement learning. Nature Communications. 15(1). 10127–10127. 10 indexed citations

Xie, Cong, et al.. (2024). Study on interaction with high-abundant blood proteins and identification of low-abundant proteins to 5-phenyl-1-(p-tolyl)-1 H-1,2,3-triazole by serum proteomics. Journal of Pharmaceutical and Biomedical Analysis. 251. 116450–116450. 1 indexed citations

10.

Pang, Chao, Yi Jiang, Ruheng Wang, et al.. (2024). Multiview Deep Learning-Based Molecule Design and Structural Optimization Accelerates Inhibitor Discover. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14022–14036.

11.

Sun, Zhou, Jiaxuan Liu, Lin Shi, et al.. (2024). New Synthetic Approaches for the Construction of Enantioenriched Molecules Bearing Quaternary Stereocenters. Advanced Synthesis & Catalysis. 366(21). 4294–4322. 6 indexed citations

12.

Wu, Mingfei, Yanhong Wang, Jingyu Zhang, et al.. (2023). Discovery of a potent and selective PARP1 degrader promoting cell cycle arrest via intercepting CDC25C-CDK1 axis for treating triple-negative breast cancer. Bioorganic Chemistry. 142. 106952–106952. 14 indexed citations

13.

Zhuo, Linlin, et al.. (2023). GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning. Briefings in Bioinformatics. 24(4). 22 indexed citations

14.

Fu, Weitao, Hao Yang, Zhou Gong, et al.. (2023). Small-Molecule Inhibition of Androgen Receptor Dimerization as a Strategy against Prostate Cancer. ACS Central Science. 9(4). 675–684. 12 indexed citations

15.

Pan, Hudan, Xiaojun Yao, Han Zhang, et al.. (2023). Myricetin possesses the potency against SARS-CoV-2 infection through blocking viral-entry facilitators and suppressing inflammation in rats and mice. Phytomedicine. 116. 154858–154858. 23 indexed citations

16.

Hu, Xiaolan, Jian‐Lin Wu, Miao Wen, et al.. (2022). Covalent Protein Modification: An Unignorable Factor for Bisphenol A-Induced Hepatotoxicity. Environmental Science & Technology. 56(13). 9536–9545. 19 indexed citations

17.

Huang, Jumin, Zebo Jiang, Yuwei Wang, et al.. (2020). Modulation of gut microbiota to overcome resistance to immune checkpoint blockade in cancer immunotherapy. Current Opinion in Pharmacology. 54. 1–10. 45 indexed citations

18.

Liu, Xin, Jing Fu, Xiaojun Yao, et al.. (2018). Phenolic Constituents Isolated from the Twigs of Cinnamomum cassia and Their Potential Neuroprotective Effects. Journal of Natural Products. 81(6). 1333–1342. 42 indexed citations

19.

Zhu, Guo‐Yuan, Ji Yang, Xiaojun Yao, et al.. (2018). (±)-Sativamides A and B, Two Pairs of Racemic Nor-Lignanamide Enantiomers from the Fruits of Cannabis sativa. The Journal of Organic Chemistry. 83(4). 2376–2381. 21 indexed citations

20.

Zhao, Qianqian, Yan Su, Weijie Chen, et al.. (2018). Computer-Aided Formulation Design for a Highly Soluble Lutein–Cyclodextrin Multiple-Component Delivery System. Molecular Pharmaceutics. 15(4). 1664–1673. 52 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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