Author

Tong Wang

Peking UniversityORCID 0000-0002-6667-6498Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Tong Wang6 papers · Augusta University

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Cell Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:metabolomics· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metagenomics· 1 Organism:plant (other)· 1

Frequent Co-Authors

Binmei SuniD· 1 shared Bosheng LiiD· 1 shared Changbin Brad YuiD· 1 shared Charity G. OwingsiD· 1 shared Chuan Qiu· 1 shared Cong XieiD· 1 shared Duy Thinh TrinhiD· 1 shared Erin Kojima· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCell Biology

Binmei SunORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Waste oil substrates reshape the black soldier fly larval gut microbiome and biomass composition during bioconversion

Reese J Saho, Duy Thinh Trinh, Erin Kojima, Tong Wang, Charity G. Owings, Zachary M. Burcham

This study shows that lipid-rich waste oils reshape the gut microbiome and biomass composition of black soldier fly larvae during bioconversion, with different oils affecting growth and fatty-acid profiles differently.

bioRxiv · Jun 10, 2026 · PreprintMicrobiology

Super-resolution single-cell spatial atlas of plant de novo regeneration

Xiehai Song, Shaoman Zhang, Zhiliang Yue, Yongqi Liu, Shanshan Chen, Yani Niu, Yan Shi, Hengjia Yang, Li Xu, Naixu Liu, Yuanyuan Miao, Man Lv, J. C. Li, Tong Wang, Meizhi Xu, , Bosheng Li

The paper constructs a super-resolution single-cell spatial atlas of tomato de novo regeneration using multimodal spatial transcriptomics.

bioRxiv · Feb 20, 2026 · PreprintCell Biology

How much storage precision can be lost: Guidance for near-lossless compression of untargeted metabolomics mass spectrometry data

Junjie Tong, Miaoshan Lu, Ruimin Wang, Shaowei An, Jinyin Wang, Tong Wang, Cong Xie, Changbin Brad Yu

The paper evaluates precision loss in metabolomics mass spectrometry data compression and provides thresholds to minimize impact on downstream analysis.

Journal of Proteome Research · Apr 19, 2024Peer-reviewedBioinformatics