Author

Ran Ji

Second Affiliated Hospital of Zhejiang UniversityPrimary ORCID profile (0000-0001-5797-0153 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Ran JiiD2 papers · Xuzhou Medical College

Biology Disciplines

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Genomics· 1 Molecular Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ao Hai· 1 shared Audrey Wang· 1 shared Bing XiaiD· 1 shared Bo YangiD· 1 shared Bowen KeiD· 1 shared Boxin LiuiD· 1 shared Boyu WangiD· 1 shared Buyi Xu· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperNeuroscience

Ao Hai

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Polyclonal-Monoclonal Transition in Lung Squamous Cell Carcinoma Evolution

Taoyu Zhu, Yaping Xu, Junming Li, Zijin Wang, Zhenting Zhang, Boyu Wang, Mingyang Xiao, Boxin Liu, Manyu Xiao, Huiran Wang, Xinyi Xu, Ran Ji, Bo Yang, Songsong Li, Zuolin Shen, , Jian Liu

This study identifies a polyclonal-to-monoclonal evolutionary trajectory in lung squamous cell carcinoma using genomic and transcriptomic data, with implications for precision therapeutics.

bioRxiv · Mar 31, 2026 · PreprintGenomics

Pharmacological recruitment of a VTA glutamatergic arousal circuit by the natural product BN3 drives broad-spectrum emergence from general anesthesia

Ran Ji, Yi Zhao, Zhenbo Huang, Xuehan Li, Yuehua Chen, Yu Gan, Tian Zhang, Ao Hai, Shirong Lai, Tianyou Liu, Yudong Yin, Yuhao Sun, Yuan Yu, Buyi Xu, Jin Liu, Bowen Ke

The paper identifies BN3 as a broad-spectrum agent that accelerates emergence from general anesthesia by targeting a VTA glutamatergic arousal circuit.

bioRxiv · Feb 18, 2026 · PreprintNeuroscience

Predicting and Designing Red Fluorescent Protein Variants Using Sequence-to-Function Machine Learning Models

Ran Ji, Jean Jung, Howard Cheng, Ella Y. Xu, Audrey Wang, Keith Pardee, Yufeng Zhao

The paper uses sequence-to-function machine learning models to predict and design improved red fluorescent protein variants, identifying variants with enhanced photophysical properties.

bioRxiv · Dec 6, 2025 · PreprintMolecular Biology