Author

Jichang Zhang

Beijing Normal University

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

Biology Disciplines

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Neuroscience· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:trajectory inference· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Debin ZengiD· 2 shared Lei ChuiD· 2 shared Shuyu LiiD· 2 shared Xiaoxi DongiD· 2 shared Yirong He· 2 shared Zekun YangiD· 2 shared Andrea CavalliiD· 1 shared Claudio LorenziiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersNeuroscience

Debin ZengORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

An integrated, transcript-resolution atlas of prostate cancer progression unmasks associations with oncogenic pathways

Jichang Zhang, Claudio Lorenzi, Daniela Bossi, Simone Nicastri, Matteo Corpetti, Nicolò Formaggio, Jacopo Sgrignani, Andrea Cavalli, Marco Bolis, Jean-Philippe Paul. Theurillat

A transcript-resolution prostate cancer atlas, built by uniformly reprocessing public RNA-seq cohorts, links isoform switches in cancer genes to oncogenic pathway activity and some to CRPC survival.

bioRxiv · Sep 22, 2026 · PreprintCancer Biology✦ In-depth digest

Spatiotemporal Patterns and Structural Substrates of Individual Functional Variability in Youth

Zekun Yang, Xiaoxi Dong, Debin Zeng, Lei Chu, Yirong He, Jichang Zhang, Qiongling Li, Yiyu Zhang, Lianglong Sun, Jing Cong, Zaixu Cui, Xiuying Wang, Shuyu Li

The paper quantifies spatiotemporal variability in functional parcellation and connectivity across development, finding distinct developmental trajectories and associations with brain structure and cognition.

bioRxiv · Aug 12, 2026 · PreprintNeuroscience

A brain dynamic model based on graph neural network reflect the inter-region interaction of cortical areas

Shaoxian Li, Debin Zeng, Xiaoxi Dong, Yirong He, Tongtong Che, Jichang Zhang, Zekun Yang, Jie Jiang, Lei Chu, Ying Han, Shuyu Li

This paper develops a graph neural network model to predict brain activity and quantify inter-regional interactions, showing it can distinguish Alzheimer's patients from controls.

Neurocomputing · Aug 2, 2026Peer-reviewedNeuroscience