Author

Yijun Liu

Jilin University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Daniel RazanskyiD· 1 shared Fei XingiD· 1 shared Fuhu Song· 1 shared Guo-Chuang Deng· 1 shared Haiyang Zhan· 1 shared Hongbin YangiD· 1 shared Hongjing CaoiD· 1 shared Hongtong LiiD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperNeuroscience

Daniel RazanskyORCID

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Author profile →

3 papers

Recent·Most cited

HCN1 channels in GABAergic amygdalar neurons underpin male-biased aggressive behaviors

Kai-Yuan Li, Zhenggang Zhu, Lu Miao, Quan Wang, Guo-Chuang Deng, Lina Pan, Jinrong Wu, Huifang Lou, Linghui Zeng, Yijun Liu, Xiang Feng, Yijun Liu, Hongbin Yang, Xiao-Ming Li, Shumin Duan, , Yan‐Qin Yu

The paper identifies HCN1 channels in GABAergic amygdalar neurons as a key driver of sex-specific aggression, showing that modulating HCN1 affects aggression levels in male and female mice.

Neuron · Jul 1, 2026Peer-reviewedNeuroscience

Data-Driven Retrieval of Effective Point Spread Functions for Super-Resolution Optoacoustic Imaging

Hongtong Li, Haiyang Zhan, Rui Ma, Yijun Liu, Hongjing Cao, Tingkai Yan, Zheng You, Xosé Luís Deán‐Ben, Daniel Razansky, Fei Xing

This paper introduces a data-driven method to retrieve effective point spread functions for super-resolution optoacoustic imaging, improving resolution and reducing artifacts in under-sampled conditions.

bioRxiv · Jan 27, 2026 · PreprintNeuroscience

DBPOM: a comprehensive database of pharmaco-omics for cancer precision medicine

Yijun Liu, Fuhu Song, Zhi Li, Liang Chen, Ying Xu, Huiyan Sun, Yi Chang

DBPOM is a database that integrates pharmaco-omics data to estimate drug effectiveness and adverse effects for cancer patients by mapping cell lines to individuals based on genetic similarities.

bioRxiv · Jan 18, 2021 · PreprintBioinformatics