Author

Ting Zhao

Zhengzhou UniversityORCID 0000-0003-3502-6043Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Ting Zhao3 papers · Sun Yat-sen University

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Assay:whole-exome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Liu SuniD· 2 shared Shanghua FaniD· 2 shared Akira SawaiD· 1 shared Anat KreimeriD· 1 shared Guo-li Ming· 1 shared Hanwen ZhangiD· 1 shared Hongjun SongiD· 1 shared Jiayi LiuiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Liu SunORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintOct 11, 2026

Impacts of different SETD1A mutations and genetic backgrounds on human induced pluripotent stem cell-derived hippocampal neurons

Yan Hong, Ting Zhao, Qian Yang…·Guo-li Ming

This study examines how different SETD1A mutations and genetic backgrounds affect human hippocampal neurons derived from hiPSCs, revealing divergent molecular and cellular phenotypes and contrasting mutation impacts.

DOI 10.64898/2026.10.07.756381

humanbulk RNA-seq

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Genetic & Genomic MedicineOrphanet Journal of Rare DiseasesPeer-reviewedJan 5, 2023

The global prevalence and ethnic heterogeneity of iron-refractory iron deficiency anaemia

Shanghua Fan, Ting Zhao, Liu Sun

This study estimates the global carrier frequency and genetic prevalence of IRIDA using gnomAD data, finding a higher prevalence than previously thought.

7 citations

humanwhole-exome sequencing

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BioinformaticsBMC Genomic DataPeer-reviewedNov 17, 2021

The global carrier frequency and genetic prevalence of Upshaw-Schulman syndrome

Ting Zhao, Shanghua Fan, Liu Sun

The paper estimates the carrier frequency and genetic prevalence of Upshaw-Schulman syndrome using gnomAD data and pathogenic variant analysis.

15 citations

humanwhole-exome sequencing

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