Author

Jina Song

VA Palo Alto Health Care SystemPrimary ORCID profile (0000-0002-9931-1129 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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

Jina SongiD1 paper · North Carolina State University

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:multiome· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alessandra RenieriiD· 1 shared Annika K K WeimeriD· 1 shared Calum HarveyiD· 1 shared Cheng Wang· 1 shared Cuiping PaniD· 1 shared Elisa FrullantiiD· 1 shared Francesca FavaiD· 1 shared GEN-COVID Network· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alessandra RenieriORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Common and rare variant analyses combined with single-cell multiomics reveal cell-type-specific molecular mechanisms of COVID-19 severity

Sai Zhang, Johnathan Cooper‐Knock, Annika K K Weimer, Calum Harvey, Thomas Henry Julian, Cheng Wang, Jingjing Li, Simone Furini, Elisa Frullanti, Francesca Fava, Alessandra Renieri, Cuiping Pan, Jina Song, Paul Billing-Ross, Peng Gao, , Michael P. Snyder

This study combines common and rare variant analyses with single-cell multiomics to identify cell-type-specific genetic risk factors for severe COVID-19, revealing molecular mechanisms and potential therapeutic targets.

Cell Systems · Jun 3, 2022Peer-reviewedGenetic & Genomic Medicine