Author

Pengfei Zhang

Princeton 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

Developmental Biology· 2 Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 3 Organism:mouse· 2 Research Focus:cell type annotation· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Research Focus:host-pathogen & immune response· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Celeste M. NelsoniD· 2 shared Andrej KošmrljiD· 1 shared Anvitha Sudhakar· 1 shared Bezia LemmaiD· 1 shared Bridget WaasiD· 1 shared Carolina Trenado-YusteiD· 1 shared Chan Jin Park· 1 shared Elizabeth R. GavisiD· 1 shared

Activity by Year

2026-2026 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 18 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 papersDevelopmental Biology

Celeste M. NelsonORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

TGFβ determines epithelial tissue spacing by regulating mesenchymal condensation

Chan Jin Park, Pengfei Zhang, Carolina Trenado-Yuste, Celeste M. Nelson

This study shows that TGFβ signaling regulates mesenchymal condensation, which physically displaces epithelial branches to maintain spacing during lung development.

Cell Reports · Jul 1, 2026Peer-reviewedDevelopmental Biology

Single-cell gene regulatory network reconstruction and key regulator identification using a dual-channel fusion graph convolutional network

Rongmei Tang, Jia Liu, Pengfei Zhang, Xujun Liang

This paper introduces a dual-channel fusion graph convolutional network to reconstruct gene regulatory networks and identify key regulators from single-cell RNA sequencing data, showing improved accuracy and robustness.

bioRxiv · Jun 7, 2026 · PreprintBioinformatics

Patterns of Mitochondrial ATP Predict Tissue Folding

Bezia Lemma, Megan Rothstein, Pengfei Zhang, Bridget Waas, Marcus D. Kilwein, Safiya Topiwala, Sherry X. Zhang, Anvitha Sudhakar, Katharine Goodwin, Elizabeth R. Gavis, Ricardo Mallarino, Andrej Košmrlj, Celeste M. Nelson

The paper shows mitochondrial ATP patterns predict tissue folding during embryonic development by analyzing mitochondrial distribution and energy dynamics in epithelial cells.

Science Advances · Apr 22, 2026Peer-reviewedDevelopmental Biology

Therapeutic Potential of Hypoxia-Preconditioned hiPSC-Epicardial Cell-Derived Exosomes in Mice with Myocardial Infarction

Zhixuan Qiu, Yun Jiang, Pengfei Zhang, Hao Li, Yaoxian Yu, Yanshan Gong, ling gao

This study compares the cardioprotective effects of normoxic and hypoxic exosomes from hiPSC-derived epicardial cells in MI mice, finding that hypoxic exosomes provide superior protection through miR-214-3p-mediated mechanisms.

bioRxiv · Apr 22, 2026 · PreprintCell Biology