Author

Mingming Zhang

Zhejiang University

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

Biology Disciplines

Click to filter author papers

Evolutionary Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Research Focus:gene regulatory network inference· 1 Organism:multiple species· 1

Frequent Co-Authors

Martin LascouxiD· 2 shared Yuxiang ZhuiD· 2 shared Antoine KremeriD· 1 shared Chunmei Pang· 1 shared Hanxing Wu· 1 shared J K CheniD· 1 shared Jianmin WuiD· 1 shared Jun Chen· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 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

2 shared papersEvolutionary Biology

Martin LascouxORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Pervasive historical introgression across oak phylogeny shapes gene expression

Yuxiang Zhu, Ruirui Fu, Mingming Zhang, YJ Li, Xinyue Teng, Jianmin Wu, Ying Liu, Yuqing Zhang, Yan Lin, Z Zhang, Chunmei Pang, Hanxing Wu, Antoine Kremer, Martin Lascoux, J K Chen

This study shows that introgression is widespread across oak phylogeny and affects gene expression through cis-regulation and DNA methylation decay.

bioRxiv · Sep 24, 2026 · PreprintEvolutionary Biology

The contribution of recent and historical demographic histories to genomic diversity and conservation status in plant species

Tongzhou Tao, Pan Li, Yuxiang Zhu, Sining Zhang, Mingming Zhang, Martin Lascoux, Jun Chen

This study assesses conservation status in 101 plant species by analyzing demographic parameters and genomic diversity, finding that census size is the best predictor of extinction risk.

bioRxiv · Jun 29, 2026 · PreprintEvolutionary Biology