Zhangya Pu

78 total papers · 782 total citations
23 papers, 497 citations indexed

About

Zhangya Pu is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Zhangya Pu has authored 23 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Zhangya Pu's work include Antimicrobial Resistance in Staphylococcus (7 papers), Ferroptosis and cancer prognosis (5 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Zhangya Pu is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Ferroptosis and cancer prognosis (5 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Zhangya Pu collaborates with scholars based in China and United States. Zhangya Pu's co-authors include Qiwen Deng, Jinxin Zheng, Dan G. Duda, Zhijian Yu, Xiaodong Zeng, Lingling Zhu, Dean Shuailin Chen, Yuling Xiao, Zhiwei Lin and Hui Zhou and has published in prestigious journals such as Nature Communications, Antimicrobial Agents and Chemotherapy and Frontiers in Microbiology.

In The Last Decade

Zhangya Pu

22 papers receiving 491 citations

Hit Papers

Combining p53 mRNA nanoth... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhangya Pu 258 142 88 81 75 23 497
Kelsi Penewit 284 1.1× 149 1.0× 43 0.5× 61 0.8× 39 0.5× 31 610
Percy Schröttner 206 0.8× 61 0.4× 159 1.8× 78 1.0× 69 0.9× 37 578
Solmaz Ohadian Moghadam 246 1.0× 212 1.5× 47 0.5× 107 1.3× 39 0.5× 39 453
Renjie Zhou 287 1.1× 135 1.0× 47 0.5× 43 0.5× 40 0.5× 25 451
Tessa M. Andermann 314 1.2× 153 1.1× 87 1.0× 31 0.4× 68 0.9× 29 614
Udo Lorenz 252 1.0× 198 1.4× 85 1.0× 35 0.4× 46 0.6× 26 568
Vahid Lohrasbi 200 0.8× 115 0.8× 44 0.5× 29 0.4× 34 0.5× 19 463
Yongsheng Ma 206 0.8× 322 2.3× 76 0.9× 122 1.5× 34 0.5× 10 576
W. Ehret 174 0.7× 102 0.7× 58 0.7× 17 0.2× 49 0.7× 48 597
Congxiu Ye 151 0.6× 67 0.5× 106 1.2× 20 0.2× 55 0.7× 32 518

Countries citing papers authored by Zhangya Pu

Since Specialization
Citations

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

Fields of papers citing papers by Zhangya Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangya Pu

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

All Works

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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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