Zhuhua Wu

52 total papers · 725 total citations
30 papers, 589 citations indexed

About

Zhuhua Wu is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Zhuhua Wu has authored 30 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Infectious Diseases and 9 papers in Pharmacology. Recurrent topics in Zhuhua Wu's work include Tuberculosis Research and Epidemiology (11 papers), Microbial Natural Products and Biosynthesis (9 papers) and Mycobacterium research and diagnosis (9 papers). Zhuhua Wu is often cited by papers focused on Tuberculosis Research and Epidemiology (11 papers), Microbial Natural Products and Biosynthesis (9 papers) and Mycobacterium research and diagnosis (9 papers). Zhuhua Wu collaborates with scholars based in China, Sweden and Hungary. Zhuhua Wu's co-authors include Wen Liu, Hua Zhang, Peng Sun, Qingfei Zheng, Xudong Qu, Fengpeng Han, Dandan Chen, Qiongqiong Wu, Qunfei Zhao and Zhenhua Tian and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and PLoS ONE.

In The Last Decade

Zhuhua Wu

26 papers receiving 585 citations

Author Peers

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

Author Last Decade Papers Cites
Zhuhua Wu 315 303 151 86 83 30 589
Andrew Ekins 317 1.0× 168 0.6× 79 0.5× 30 0.3× 90 1.1× 16 603
Rudi Emerson de Lima Procópio 291 0.9× 286 0.9× 41 0.3× 120 1.4× 138 1.7× 29 623
Takaaki Nishikiori 326 1.0× 228 0.8× 176 1.2× 123 1.4× 103 1.2× 26 660
Thomas J. Hosted 435 1.4× 217 0.7× 125 0.8× 48 0.6× 119 1.4× 17 649
Frederick Kavanagh 128 0.4× 124 0.4× 128 0.8× 19 0.2× 57 0.7× 28 596
Weixin Tao 344 1.1× 239 0.8× 81 0.5× 88 1.0× 63 0.8× 17 497
Yaxin Xue 186 0.6× 72 0.2× 278 1.8× 57 0.7× 43 0.5× 36 649
L. A. Lindenfelser 236 0.7× 154 0.5× 87 0.6× 91 1.1× 213 2.6× 23 648
Galina M. Streshinskaya 341 1.1× 165 0.5× 219 1.5× 119 1.4× 98 1.2× 48 586
Lyudmila I. Evtushenko 319 1.0× 76 0.3× 119 0.8× 91 1.1× 173 2.1× 45 500

Countries citing papers authored by Zhuhua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhuhua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuhua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuhua Wu. A scholar is included among the top collaborators of Zhuhua Wu 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 Zhuhua Wu. Zhuhua Wu 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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