Author

Xijun Zhang

Henry M. Jackson Foundation

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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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Clifton L. DalgardiD· 2 shared Craig D. ShriveriD· 2 shared Albert L. DobiiD· 1 shared Amina Ali· 1 shared Ayesha A. ShafiiD· 1 shared Brian L. HoodiD· 1 shared Cara C. SchaferiD· 1 shared Darryl NousomeiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Clifton L. DalgardORCID

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2 papers

Recent·Most cited

Combining RNA-seq and proteomics boosts sensitivity to detect differentially expressed genes by rpMeta

Xijun Zhang, Joseph P. LaMorte, Robert L. Kortum, Craig D. Shriver, Clifton L. Dalgard, Matthew D. Wilkerson

rpMeta integrates RNA-seq and proteomics data to improve sensitivity in detecting differentially expressed genes, identifying new genes and processes in lung cancer subtypes.

bioRxiv · Oct 21, 2026 · PreprintBioinformatics

Integrated proteogenomics uncovers ancestry-specific and shared molecular drivers in localized prostate cancer

Cara C. Schafer, Tamara S. Abulez, Xijun Zhang, Kun-Lin Ho, Jiji Jiang, Denise Young, Jesse Fox, Kelly A. Conrads, Brian L. Hood, Gauthaman Sukumar, Darryl Nousome, Praveen-Kumar Raj-Kumar, Mariano Russo, Ayesha A. Shafi, Xiaofeng A. Su, , Shyh‐Han Tan

This study uses proteogenomics to identify ancestry-specific and shared molecular drivers in prostate cancer, revealing distinct biological programs and improving risk prediction.

bioRxiv · Nov 28, 2025 · PreprintCancer Biology