Author

Jianan Wang

Amsterdam University Medical CentersORCID 0000-0001-9244-4693Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Physiology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:rat· 2 Research Focus:batch correction / integration· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Arie O. VerkerkiD· 2 shared Arnie BoenderiD· 2 shared Christian ThirioniD· 2 shared Gerard J.J. BoinkiD· 2 shared Hanno L. TaniD· 2 shared Klaus NeefiD· 2 shared Larry C. ParkiD· 2 shared Mischa KlerkiD· 2 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPhysiology

Arie O. VerkerkORCID

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3 papers

Recent·Most cited

PhysiologyJournal of Clinical InvestigationPeer-reviewedJun 11, 2026

Adeno-associated virus (AAV)-TBX18 does not generate biological pacemaker activity, unlike AAV-Hcn2

Jianan Wang, Mathilde R. Rivaud, Mischa Klerk…·Gerard J.J. Boink

This study compares AAV-TBX18 and AAV-Hcn2 in generating biological pacemaker activity, finding TBX18 ineffective while Hcn2 induces robust ectopic pacing.

1 citation

mouserat

𝕏 PostBluesky

PhysiologybioRxivPreprintJul 31, 2025

AAV6-HCN4t-mediated biological pacing as a potential life-saving therapy for congenital complete heart block

Jianan Wang, Evelien E. Birza, Veronique M.F. Meijborg…·Gerard J.J. Boink

This study develops AAV6-HCN4t gene therapy to enhance biological pacing in complete heart block, showing sustained effects in rats and pigs.

DOI 10.1101/2025.07.31.666254

ratplant (other)

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BioinformaticsNucleic Acids ResearchPeer-reviewedJun 27, 2022

RUV-III-NB: Normalization of single cell RNA-seq Data

Agus Salim, Ramyar Molania, Jianan Wang…·Terence Paul Speed

RUV-III-NB normalizes scRNA-seq data by removing unwanted variation from both cell embeddings and gene-level counts, improving differential expression and clustering results across multiple datasets.

25 citations

scRNA-seqstatistical model

𝕏 PostBluesky