Pu Ai

514 total citations
21 papers, 373 citations indexed

About

Pu Ai is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cancer Research. According to data from OpenAlex, Pu Ai has authored 21 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Pu Ai's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Glioma Diagnosis and Treatment (3 papers) and Breast Cancer Treatment Studies (3 papers). Pu Ai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Glioma Diagnosis and Treatment (3 papers) and Breast Cancer Treatment Studies (3 papers). Pu Ai collaborates with scholars based in China, United States and Ireland. Pu Ai's co-authors include Zisheng Ai, Ying Wu, Jialin Zheng, Xiaohuan Xia, Lu Wang, Yihan Liu, Jiayi Wang, Guo‐Tong Xu, Chunlei Zhang and Junhui Chen and has published in prestigious journals such as Nano Letters, The Journal of Organic Chemistry and RSC Advances.

In The Last Decade

Pu Ai

20 papers receiving 361 citations

Peers

Pu Ai
Pu Ai
Citations per year, relative to Pu Ai Pu Ai (= 1×) peers Seyed Amir Aledavood

Countries citing papers authored by Pu Ai

Since Specialization
Citations

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

Fields of papers citing papers by Pu Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Ai. A scholar is included among the top collaborators of Pu Ai 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 Ai. Pu Ai 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
2.
Ai, Pu, Zhenyu Cai, Ge Gao, et al.. (2024). Genetically modified E. Coli secreting melanin (E.melanin) activates the astrocytic PSAP-GPR37L1 pathway and mitigates the pathogenesis of Parkinson’s disease. Journal of Nanobiotechnology. 22(1). 690–690. 3 indexed citations
3.
Zhang, Linmei, et al.. (2024). Deep learning-guided adjuvant chemotherapy selection for elderly patients with breast cancer. Breast Cancer Research and Treatment. 205(1). 97–107. 12 indexed citations
4.
Wang, Jiayi, et al.. (2024). Individualized survival prediction and surgery recommendation for patients with glioblastoma. Frontiers in Medicine. 11. 1330907–1330907. 3 indexed citations
6.
Wang, Jiayi, et al.. (2024). Optimizing adjuvant treatment options for patients with glioblastoma. Frontiers in Neurology. 15. 1326591–1326591. 3 indexed citations
8.
9.
Gan, Na, Qiaomei Sun, Pu Ai, et al.. (2023). MOFs-alginate/polyacrylic acid/poly (ethylene imine) heparin-mimicking beads as a novel hemoadsorbent for bilirubin removal in vitro and vivo models. International Journal of Biological Macromolecules. 235. 123868–123868. 10 indexed citations
10.
Chen, Zhihao, et al.. (2023). Analyzing and predicting the risk of death in stroke patients using machine learning. Frontiers in Neurology. 14. 1096153–1096153. 23 indexed citations
11.
Chen, Tao, et al.. (2022). Edonerpic maleate regulates glutamate receptors through CRMP2- and Arc-mediated mechanisms in response to brain trauma. Cell Death Discovery. 8(1). 95–95. 6 indexed citations
12.
Wang, Jiayi, Pu Ai, Jun Liu, et al.. (2022). The potency of psychiatric questionnaires to distinguish major mental disorders in Chinese outpatients. Frontiers in Psychiatry. 13. 1091798–1091798. 8 indexed citations
13.
Fu, Shengyang, Huili Chen, Weitao Yang, et al.. (2022). Insulin-incubated palladium clusters promote recovery after brain injury. Journal of Nanobiotechnology. 20(1). 299–299. 13 indexed citations
14.
Liu, Zhuang‐Hua, et al.. (2022). Astragaloside IV attenuates ferroptosis after subarachnoid hemorrhage via Nrf2/HO-1 signaling pathway. Frontiers in Pharmacology. 13. 924826–924826. 35 indexed citations
15.
Fu, Shengyang, Huili Chen, Weitao Yang, et al.. (2022). ROS-Targeted Depression Therapy via BSA-Incubated Ceria Nanoclusters. Nano Letters. 22(11). 4519–4527. 65 indexed citations
16.
Liu, Jianhui, Pu Ai, Xiaoyu Yang, et al.. (2021). Propofol Inhibits Microglial Activation via miR-106b/Pi3k/Akt Axis. Frontiers in Cellular Neuroscience. 15. 768364–768364. 10 indexed citations
17.
Yuan, Ping, Pu Ai, Yihan Liu, et al.. (2020). Safety, Tolerability, and Immunogenicity of COVID-19 Vaccines: A Systematic Review and Meta-Analysis. SSRN Electronic Journal. 10 indexed citations
18.
Wang, Qiongqiong, et al.. (2020). Domino Annulation Reaction of Sulfur Ylides and Morita–Baylis–Hillman Carbonates of Isatins: Synthesis of Oxospiro[bicyclo[3.1.0]hexane-6,3′-indolin] Scaffolds. The Journal of Organic Chemistry. 85(23). 15026–15037. 11 indexed citations
19.
20.
Wu, Ying, et al.. (2017). Prevalence and Risk Factors of Low Health Literacy: A Community-Based Study in Shanghai, China. International Journal of Environmental Research and Public Health. 14(6). 628–628. 60 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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