Author

Haiyang Jiang

Johns Hopkins UniversityORCID 0000-0002-0529-0719Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Organism:rat· 1

Frequent Co-Authors

John HuetschiD· 1 shared Karthik S. SureshiD· 1 shared Larissa A. ShimodaiD· 1 shared Liang YaniD· 1 shared Mahendra DamarlaiD· 1 shared Manuella Ribas AndradeiD· 1 shared Michael P. CroglioiD· 1 shared Micheal Munson· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperPhysiology

John HuetschORCID

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2 papers

Recent·Most cited

Na+/H+ Exchanger Isoform 1 Regulates Apoptosis Susceptibility in Pulmonary Arterial Smooth Muscle from the Sugen/Hypoxia model of Pulmonary Hypertension

Manuella Ribas Andrade, Xin Yun, Michael P. Croglio, Shannon E. Niedermeyer, Haiyang Jiang, Nicolas M. Philip, Samuel Murray, Micheal Munson, Karthik S. Suresh, Mahendra Damarla, John Huetsch, Larissa A. Shimoda

This study shows NHE1 promotes apoptosis resistance in PASMCs from PH models through p38 suppression, independent of ion transport or ezrin-binding.

bioRxiv · Nov 6, 2025 · PreprintPhysiology

MetaGXplore: Integrating Multi-Omics Data with Graph Convolutional Networks for Pan-cancer Patient Metastasis Identification

Tao Jiang, Haiyang Jiang, Xinyi Ma, Minghao Xu, Liang Yan, Wentao Zhang

MetaGXplore uses graph convolutional networks to predict tumor metastasis likelihood and identify key genes across pan-cancer multi-omics data.

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · Dec 3, 2024Peer-reviewedBioinformatics