Pu Yao

1.5k total citations
27 papers, 376 citations indexed

About

Pu Yao is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Pu Yao has authored 27 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 5 papers in Molecular Biology and 4 papers in Biomaterials. Recurrent topics in Pu Yao's work include Nanoplatforms for cancer theranostics (6 papers), Nanoparticle-Based Drug Delivery (4 papers) and Vibrio bacteria research studies (3 papers). Pu Yao is often cited by papers focused on Nanoplatforms for cancer theranostics (6 papers), Nanoparticle-Based Drug Delivery (4 papers) and Vibrio bacteria research studies (3 papers). Pu Yao collaborates with scholars based in China, Hong Kong and United States. Pu Yao's co-authors include Hongkun Zheng, Irina Voineagu, Amelia A. Assareh, Peijie Lin, Fengjun Sun, Dong‐Lei Yang, Qianmei Wang, Min Liu, Yunpeng Wang and Xuean Cui and has published in prestigious journals such as Nature Neuroscience, Analytical Biochemistry and Journal of Bacteriology.

In The Last Decade

Pu Yao

23 papers receiving 373 citations

Peers

Pu Yao

BIOMA

GENET

Leena Arora India

Md Zakir Hossain Bangladesh

Kai Fan China

Yazhou Chen China

Jiawen Wang China

Javad Amini Mahabadi Iran

Shweta Pandey India

Haibin Shen China

Farzaneh Jafari Iran

Leena Arora India

Pu Yao

211 ×1.1

137 ×1.3

64 ×1.4

27 ×0.8

BIOMA

21 ×0.7

GENET

Citations per year, relative to Pu Yao Pu Yao (= 1×) peers Leena Arora

Countries citing papers authored by Pu Yao

Since Specialization

Citations

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

Fields of papers citing papers by Pu Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Yao. A scholar is included among the top collaborators of Pu Yao 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 Yao. Pu Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yao, Pu, Jing Qin, Ann D. King, et al.. (2025). The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review. IEEE Access. 13. 97208–97227.

Teng, Xinzhi, Jiang Zhang, Xinyu Zhang, et al.. (2025). Tumor Imaging Heterogeneity Index-Inspired Insights into the Unveiling Tumor Microenvironment of Breast Cancer. International Journal of Molecular Sciences. 26(23). 11624–11624.

Huang, Meijuan, et al.. (2025). Mediating role of social support between stigma and social alienation in patients with inflammatory bowel disease: a cross-sectional study. Frontiers in Psychology. 16. 1649317–1649317. 1 indexed citations

Yao, Pu, et al.. (2025). Functional divergence and regulatory network of the type VI secretion system in Vibrio parahaemolyticus. Journal of Bacteriology. 208(1). e0037825–e0037825. 1 indexed citations

Zhang, Zhiqing, et al.. (2025). SpineMamba: Enhancing 3D spinal segmentation in clinical imaging through residual visual Mamba layers and shape priors. Computerized Medical Imaging and Graphics. 123. 102531–102531.

Yao, Pu, Yiquan Zhang, & Jun Ding. (2025). Investigating c-di-GMP Signaling in Vibrio parahaemolyticus: Biological Effects and Mechanisms of Regulation. Current Microbiology. 82(7). 319–319. 2 indexed citations

Huang, Yuhua, Zhi Chen, Pu Yao, et al.. (2024). Quantitative texture analysis using machine learning for predicting interpretable pulmonary perfusion from non-contrast computed tomography in pulmonary embolism patients. Respiratory Research. 25(1). 389–389. 4 indexed citations

Li, Yuliang, Wei Feng, Pu Yao, et al.. (2024). Azithromycin inhibits the intracellular persistence of Acinetobacter baumannii by inducing host cell autophagy in human bronchial epithelial cells. Microbial Pathogenesis. 198. 107152–107152. 1 indexed citations

Wang, Yu, Qianmei Wang, Xiaowen Wang, et al.. (2023). Docetaxel-loaded pH/ROS dual-responsive nanoparticles with self-supplied ROS for inhibiting metastasis and enhancing immunotherapy of breast cancer. Journal of Nanobiotechnology. 21(1). 286–286. 23 indexed citations

10.

Yao, Pu, Qianmei Wang, Qing Dai, et al.. (2023). Cyclic RGD-Functionalized pH/ROS Dual-Responsive Nanoparticle for Targeted Breast Cancer Therapy. Pharmaceutics. 15(7). 1827–1827. 12 indexed citations

11.

Yang, Yang, Yu Wang, Qianmei Wang, et al.. (2022). Antibiotic-loaded reactive oxygen species-responsive nanomedicine for effective management of chronic bacterial prostatitis. Acta Biomaterialia. 143. 471–486. 19 indexed citations

12.

Sun, Fengjun, Yu Wang, Qianmei Wang, et al.. (2022). Self-Illuminating Triggered Release of Therapeutics from Photocleavable Nanoprodrug for the Targeted Treatment of Breast Cancer. ACS Applied Materials & Interfaces. 14(7). 8766–8781. 8 indexed citations

13.

Feng, Wei, Jun Lv, Hongping Wang, et al.. (2022). The first report of the blaIMP-10 gene and complete sequence of the IMP-10-encoding plasmid p12NE515 from Pseudomonas aeruginosa in China. Acta Tropica. 228. 106326–106326. 6 indexed citations

14.

Yao, Pu, Qinghua Zhang, Cheng Qian, et al.. (2022). Semi-supervised segmentation of coronary DSA using mixed networks and multi-strategies. Computers in Biology and Medicine. 156. 106493–106493. 10 indexed citations

15.

Wang, Yu, Qianmei Wang, Wei Feng, et al.. (2021). Folic acid-modified ROS-responsive nanoparticles encapsulating luteolin for targeted breast cancer treatment. Drug Delivery. 28(1). 1695–1708. 34 indexed citations

16.

Feng, Wei, Lei Zhang, Yuan Qian, et al.. (2021). Effect of sub-minimal inhibitory concentration ceftazidime on the pathogenicity of uropathogenic Escherichia coli. Microbial Pathogenesis. 151. 104748–104748. 8 indexed citations

17.

Ren, Haiying, Haiyan Yu, Shuwen Zhang, et al.. (2019). Genome sequencing provides insights into the evolution and antioxidant activity of Chinese bayberry. BMC Genomics. 20(1). 458–458. 31 indexed citations

18.

Zhao, Na, Pu Yao, Ning Su, et al.. (2019). Development of duplex-crossed allele-specific PCR targeting of TPMT*3B and *3C using crossed allele-specific blockers to eliminate non-specific amplification. Analytical Biochemistry. 575. 54–62. 1 indexed citations

19.

Zhang, Qian, Zhe Liang, Xuean Cui, et al.. (2018). N6-Methyladenine DNA Methylation in Japonica and Indica Rice Genomes and Its Association with Gene Expression, Plant Development, and Stress Responses. Molecular Plant. 11(12). 1492–1508. 125 indexed citations

20.

Yao, Pu, et al.. (2015). Coexpression networks identify brain region–specific enhancer RNAs in the human brain. Nature Neuroscience. 18(8). 1168–1174. 64 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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