Author

Jiawei Ni

University of Maryland, College Park

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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Cell Biology· 1 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Ling HaoiD· 3 shared Ashley M. FrankenfieldiD· 2 shared Edwin LoiD· 1 shared Hope S. TraceyiD· 1 shared Jamison ShihiD· 1 shared Jiou WangiD· 1 shared Mustafa Jamal AhmediD· 1 shared Tao ZhangiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersNeuroscience

Ling HaoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Deep Quantitative Proteome Turnover Platform for Human iPSC-derived Neurons

Ashley M. Frankenfield, Jamison Shih, Tao Zhang, Jiawei Ni, Wan Nur Atiqah binti Mazli, Edwin Lo, Yansheng Liu, Jiou Wang, Ling Hao

The paper develops a platform to measure protein turnover in human iPSC-derived neurons, revealing conserved and subtype-specific proteome dynamics.

Analytical Chemistry · Oct 30, 2026Peer-reviewedNeuroscience

An Optimized Stem Cell Secretome Proteomics Platform: Application to Progranulin-Deficient iPSCs

Jiawei Ni, Hope S. Tracey, Ling Hao

This paper optimizes a secretome proteomics platform for iPSCs and applies it to study progranulin deficiency's effects on extracellular and intracellular proteomes.

Journal of Proteome Research · Oct 7, 2026Peer-reviewedCell Biology

Protein Contaminants Matter: Building Universal Protein Contaminant Libraries for DDA and DIA Proteomics

Ashley M. Frankenfield, Jiawei Ni, Mustafa Jamal Ahmed, Ling Hao

This study develops universal protein contaminant libraries for DDA and DIA proteomics to reduce false discoveries and improve protein identification without affecting quantification accuracy.

Journal of Proteome Research · Jul 6, 2022Peer-reviewedSystems Biology