Peijie Zhou

1.2k total citations
38 papers, 676 citations indexed

About

Peijie Zhou is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Peijie Zhou has authored 38 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Biophysics. Recurrent topics in Peijie Zhou's work include Single-cell and spatial transcriptomics (15 papers), Gene Regulatory Network Analysis (10 papers) and Cell Image Analysis Techniques (5 papers). Peijie Zhou is often cited by papers focused on Single-cell and spatial transcriptomics (15 papers), Gene Regulatory Network Analysis (10 papers) and Cell Image Analysis Techniques (5 papers). Peijie Zhou collaborates with scholars based in China, United States and Singapore. Peijie Zhou's co-authors include Qing Nie, Shuxiong Wang, Wei‐Qiang Gao, Tiejun Li, Yuxiang Fang, Yutong Sha, Federico Bocci, Wang Li, Yuanzeng Min and Zhongzhong Ji and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Peijie Zhou

33 papers receiving 667 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peijie Zhou China 16 473 162 101 96 70 38 676
Carsten Dan Ley Denmark 10 305 0.6× 147 0.9× 119 1.2× 115 1.2× 99 1.4× 26 727
Jianhua Chen China 15 376 0.8× 116 0.7× 132 1.3× 71 0.7× 53 0.8× 33 630
Marc Osterland Germany 8 316 0.7× 114 0.7× 156 1.5× 163 1.7× 47 0.7× 10 617
Kyle A. DiVito United States 16 508 1.1× 119 0.7× 273 2.7× 95 1.0× 54 0.8× 24 767
Johannes Virtanen Finland 8 308 0.7× 100 0.6× 210 2.1× 179 1.9× 108 1.5× 9 655
Carlos Luzzani Argentina 17 489 1.0× 117 0.7× 82 0.8× 86 0.9× 18 0.3× 29 695
Adam A. Friedman United States 4 281 0.6× 119 0.7× 145 1.4× 90 0.9× 51 0.7× 6 506
Priyakshi Kalita‐de Croft Australia 14 360 0.8× 136 0.8× 131 1.3× 45 0.5× 112 1.6× 25 594
Parin Shah United States 8 565 1.2× 170 1.0× 198 2.0× 73 0.8× 36 0.5× 15 773
John-Patrick Mpindi Finland 12 380 0.8× 172 1.1× 277 2.7× 237 2.5× 121 1.7× 16 823

Countries citing papers authored by Peijie Zhou

Since Specialization
Citations

This map shows the geographic impact of Peijie Zhou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peijie Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peijie Zhou more than expected).

Fields of papers citing papers by Peijie Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peijie Zhou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peijie Zhou. The network helps show where Peijie Zhou may publish in the future.

Co-authorship network of co-authors of Peijie Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Peijie Zhou. A scholar is included among the top collaborators of Peijie Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peijie Zhou. Peijie Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wei, Xiaoying, Huiquan Liu, Jianguo Wang, et al.. (2025). Disruption of tumor-intrinsic PGAM5 increases anti-PD-1 efficacy through the CCL2 signaling pathway. Journal for ImmunoTherapy of Cancer. 13(1). e009993–e009993. 6 indexed citations
2.
Zhou, Peijie, Dong Qian, Xin Ming, et al.. (2025). Nanotherapeutic Wee1 Inhibition Sensitizes Tumor Ferroptosis to Promote Cancer Immunotherapy and Abscopal Effect. ACS Nano. 19(17). 16307–16326.
3.
Wang, Zihan, et al.. (2025). Deciphering cell-fate trajectories using spatiotemporal single-cell transcriptomic data. npj Systems Biology and Applications. 12(1). 2–2.
4.
Shiu, Jessica, Chi‐Fen Chen, Jie Wu, et al.. (2025). Uncovering minimal pathways in melanoma initiation. Nature Communications. 16(1). 5369–5369.
5.
Zhou, Peijie, Federico Bocci, Tiejun Li, & Qing Nie. (2024). Spatial transition tensor of single cells. Nature Methods. 21(6). 1053–1062. 13 indexed citations
6.
Li, Tiejun, et al.. (2024). On the Mathematics of RNA Velocity II: Algorithmic Aspects. 5(1). 182–220. 2 indexed citations
7.
Zhou, Peijie, et al.. (2023). exFINDER: identify external communication signals using single-cell transcriptomics data. Nucleic Acids Research. 51(10). e58–e58. 11 indexed citations
8.
Sha, Yutong, Yuchi Qiu, Peijie Zhou, & Qing Nie. (2023). Reconstructing growth and dynamic trajectories from single-cell transcriptomics data. Nature Machine Intelligence. 6(1). 25–39. 39 indexed citations
9.
Sha, Yutong, Yuchi Qiu, Peijie Zhou, & Qing Nie. (2023). Publisher Correction: Reconstructing growth and dynamic trajectories from single-cell transcriptomics data. Nature Machine Intelligence. 6(1). 119–119. 1 indexed citations
10.
Dong, Ji, Peijie Zhou, Yidong Chen, et al.. (2021). Integrating single-cell datasets with ambiguous batch information by incorporating molecular network features. Briefings in Bioinformatics. 23(1). 6 indexed citations
11.
Zhou, Peijie, et al.. (2021). Bioinformatics Analysis and Functional Verification of ADAMTS9-AS1/AS2 in Lung Adenocarcinoma. Frontiers in Oncology. 11. 681777–681777. 10 indexed citations
12.
Zhou, Peijie, Shuxiong Wang, Tiejun Li, & Qing Nie. (2021). Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics. Nature Communications. 12(1). 5609–5609. 58 indexed citations
13.
Zhou, Peijie, Xin Gao, Xiaoli Li, et al.. (2021). Stochasticity Triggers Activation of the S-phase Checkpoint Pathway in Budding Yeast. Physical Review X. 11(1). 9 indexed citations
14.
Bocci, Federico, Peijie Zhou, & Qing Nie. (2021). Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression. Cancers. 13(22). 5726–5726. 15 indexed citations
15.
Sha, Yutong, Shuxiong Wang, Federico Bocci, Peijie Zhou, & Qing Nie. (2021). Inference of Intercellular Communications and Multilayer Gene-Regulations of Epithelial–Mesenchymal Transition From Single-Cell Transcriptomic Data. Frontiers in Genetics. 11. 604585–604585. 22 indexed citations
16.
Sha, Yutong, Shuxiong Wang, Peijie Zhou, & Qing Nie. (2020). Inference and multiscale model of epithelial-to-mesenchymal transition via single-cell transcriptomic data. Nucleic Acids Research. 48(17). 9505–9520. 45 indexed citations
17.
Zhou, Dongdong, Ke Xu, Peijie Zhou, & Xi Zhuo Jiang. (2020). The production of large blast furnaces of China in 2018 and thoughts of intelligent manufacturing in the ironmaking process. Ironmaking & Steelmaking Processes Products and Applications. 47(6). 650–654. 14 indexed citations
18.
Wang, Xiao, Jing Peng, Peijie Zhou, et al.. (2019). Elevated expression of Gab1 promotes breast cancer metastasis by dissociating the PAR complex. Journal of Experimental & Clinical Cancer Research. 38(1). 27–27. 23 indexed citations
19.
Zhou, Peijie, Xiao Wang, Long Zhang, et al.. (2018). Loss of Par3 promotes prostatic tumorigenesis by enhancing cell growth and changing cell division modes. Oncogene. 38(12). 2192–2205. 30 indexed citations
20.
Zhou, Peijie, Wei Xue, Jinliang Peng, et al.. (2017). Elevated expression of Par3 promotes prostate cancer metastasis by forming a Par3/aPKC/KIBRA complex and inactivating the hippo pathway. Journal of Experimental & Clinical Cancer Research. 36(1). 139–139. 39 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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