Pu Zhang

6.7k total citations
128 papers, 5.1k citations indexed

About

Pu Zhang is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Pu Zhang has authored 128 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 24 papers in Cancer Research and 19 papers in Biomedical Engineering. Recurrent topics in Pu Zhang's work include Advanced biosensing and bioanalysis techniques (37 papers), RNA Interference and Gene Delivery (18 papers) and Biosensors and Analytical Detection (12 papers). Pu Zhang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (37 papers), RNA Interference and Gene Delivery (18 papers) and Biosensors and Analytical Detection (12 papers). Pu Zhang collaborates with scholars based in China, United States and Israel. Pu Zhang's co-authors include Ruo Yuan, Yaqin Chai, Daniel G. Tenen, Ying Zhuo, Itamar Willner, Xiaoyan Wu, Yu Ouyang, Gerhard Behre, Hanna S. Radomska and Jie Jiang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Pu Zhang

122 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pu Zhang China 38 3.9k 1.0k 881 569 469 128 5.1k
Thomas Simmet Germany 41 2.3k 0.6× 836 0.8× 381 0.4× 550 1.0× 970 2.1× 145 5.5k
Jing Lü China 41 4.5k 1.1× 558 0.5× 825 0.9× 595 1.0× 384 0.8× 189 6.8k
Min You United States 39 2.6k 0.7× 556 0.5× 745 0.8× 127 0.2× 709 1.5× 98 5.0k
Ke Ding China 56 5.4k 1.4× 665 0.7× 484 0.5× 653 1.1× 632 1.3× 332 10.8k
Yuting Yang China 36 3.0k 0.8× 372 0.4× 689 0.8× 108 0.2× 693 1.5× 143 5.0k
Аlexander А. Shtil Russia 33 2.3k 0.6× 260 0.3× 539 0.6× 504 0.9× 328 0.7× 255 4.4k
Yili Yang China 45 4.5k 1.2× 1.0k 1.0× 739 0.8× 265 0.5× 1.3k 2.7× 103 7.2k
Agnese Molinari Italy 36 4.7k 1.2× 1.6k 1.6× 942 1.1× 137 0.2× 1.0k 2.2× 126 7.5k
Paolo E. Porporato Italy 40 4.2k 1.1× 2.8k 2.7× 495 0.6× 186 0.3× 713 1.5× 85 7.2k
Jing Gao China 37 2.8k 0.7× 538 0.5× 1.2k 1.3× 99 0.2× 1.1k 2.2× 176 5.3k

Countries citing papers authored by Pu Zhang

Since Specialization
Citations

This map shows the geographic impact of Pu Zhang'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 Pu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Zhang more than expected).

Fields of papers citing papers by Pu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pu Zhang. 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 Pu Zhang. The network helps show where Pu Zhang may publish in the future.

Co-authorship network of co-authors of Pu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Zhang. A scholar is included among the top collaborators of Pu Zhang 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 Pu Zhang. Pu Zhang 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.
Zhang, Meihua, Jiayi Li, Jianfeng Xue, et al.. (2025). Development and evaluation of optimized PCR and indirect ELISA for the detection of Morganella morganii in dairy cows. Frontiers in Veterinary Science. 12. 1532600–1532600.
2.
Zhang, Pu, Taylor N. Medwig-Kinney, & Bob Goldstein. (2023). Architecture of the cortical actomyosin network driving apical constriction in C. elegans. The Journal of Cell Biology. 222(9). 3 indexed citations
3.
Slabodnick, Mark M., Sophia Tintori, Pu Zhang, et al.. (2023). Zyxin contributes to coupling between cell junctions and contractile actomyosin networks during apical constriction. PLoS Genetics. 19(3). e1010319–e1010319. 8 indexed citations
4.
Zhang, Pu, et al.. (2023). The Expression Patterns of Exogenous Plant miRNAs in Chickens. Genes. 14(3). 760–760. 1 indexed citations
5.
Zhang, Pu, Yu Ouyang, Ying Zhuo, Yaqin Chai, & Ruo Yuan. (2023). Recent Advances in DNA Nanostructures Applied in Sensing Interfaces and Cellular Imaging. Analytical Chemistry. 95(1). 407–419. 21 indexed citations
6.
Zhang, Pu & Omar Abdel‐Wahab. (2023). RBM33: A new regulator of N-6-methyladenosine (m6A) methylation. Molecular Cell. 83(12). 1956–1958.
7.
Gao, Yifan, et al.. (2023). The surface morphology of Atractylodes macrocephala polysaccharide and its inhibitory effect on PCV2 replication. Journal of the Science of Food and Agriculture. 104(6). 3624–3636. 3 indexed citations
8.
Ouyang, Yu, Pu Zhang, & Itamar Willner. (2022). Dissipative biocatalytic cascades and gated transient biocatalytic cascades driven by nucleic acid networks. Science Advances. 8(18). eabn3534–eabn3534. 31 indexed citations
9.
Ouyang, Yu, Pu Zhang, & Itamar Willner. (2022). Dynamic Catalysis Guided by Nucleic Acid Networks and DNA Nanostructures. Bioconjugate Chemistry. 34(1). 51–69. 4 indexed citations
10.
Shao, Wenjing, Jie Shi, Pu Zhang, & Minglin Lang. (2021). Research Progress of ERF Transcription Factors in Regulating Biological Stress Responses. 37(3). 136. 3 indexed citations
11.
Wang, Dan, Mingyue Li, Jing Li, et al.. (2020). Comprehensive Characterization of Androgen-Responsive lncRNAs Mediated Regulatory Network in Hormone-Related Cancers. Disease Markers. 2020. 1–18. 13 indexed citations
12.
Wang, Bao‐Zhong, et al.. (2019). MTA1 promotes the invasion and migration of oral squamous carcinoma by inducing epithelial–mesenchymal transition via the hedgehog signaling pathway. Experimental Cell Research. 382(1). 111450–111450. 15 indexed citations
14.
Zhang, Yingyi, Zhe Kong, Fangqiu Fu, et al.. (2017). An androgen reduced transcript of LncRNA GAS5 promoted prostate cancer proliferation. PLoS ONE. 12(8). e0182305–e0182305. 38 indexed citations
15.
Zhang, Yalong, Pu Zhang, Xuechao Wan, et al.. (2016). Downregulation of long non-coding RNA HCG11 predicts a poor prognosis in prostate cancer. Biomedicine & Pharmacotherapy. 83. 936–941. 59 indexed citations
16.
Wan, Xuechao, Shu Yang, Yalong Zhang, et al.. (2016). Androgen-induced miR-27A acted as a tumor suppressor by targeting MAP2K4 and mediated prostate cancer progression. The International Journal of Biochemistry & Cell Biology. 79. 249–260. 52 indexed citations
17.
Xu, Demei, Lihua Hu, Chuanyang Su, et al.. (2014). Tetrachloro-p-benzoquinone induces hepatic oxidative damage and inflammatory response, but not apoptosis in mouse: The prevention of curcumin. Toxicology and Applied Pharmacology. 280(2). 305–313. 29 indexed citations
18.
Zhang, Pu, Keduo Qian, Jun Liu, et al.. (2010). Efficient synthesis and biological evaluation of epiceanothic acid and related compounds. Bioorganic & Medicinal Chemistry Letters. 21(1). 338–341. 17 indexed citations
19.
Zhang, Pu & Francisca Mutapi. (2006). IgE: a Key Antibody in Schistosoma Infection. Electronic journal of biology. 2(1). 11 indexed citations
20.
Vangala, Rajani Kanth, Nicolai Treiber, Pu Zhang, et al.. (2002). Downregulation of c-Jun Expression by Transcription Factor C/EBPα Is Critical for Granulocytic Lineage Commitment. Molecular and Cellular Biology. 22(24). 8681–8694. 54 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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