Xuan Wu

83 total papers · 1.8k total citations
58 papers, 1.5k citations indexed

About

Xuan Wu is a scholar working on Organic Chemistry, Materials Chemistry and Biomaterials. According to data from OpenAlex, Xuan Wu has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Organic Chemistry, 16 papers in Materials Chemistry and 14 papers in Biomaterials. Recurrent topics in Xuan Wu's work include Supramolecular Chemistry and Complexes (14 papers), Supramolecular Self-Assembly in Materials (13 papers) and Molecular Sensors and Ion Detection (8 papers). Xuan Wu is often cited by papers focused on Supramolecular Chemistry and Complexes (14 papers), Supramolecular Self-Assembly in Materials (13 papers) and Molecular Sensors and Ion Detection (8 papers). Xuan Wu collaborates with scholars based in China, Germany and Spain. Xuan Wu's co-authors include Leyong Wang, Xiao‐Yu Hu, Lin Chen, Mingfei Zhou, Tangxin Xiao, Gernot Frenking, Lili Zhao, Lei Gao, Wei Xia and Qunpeng Duan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Xuan Wu

56 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Xuan Wu 935 490 411 409 305 58 1.5k
Linda S. Shimizu 921 1.0× 866 1.8× 464 1.1× 299 0.7× 440 1.4× 71 1.6k
Harshita Kumari 720 0.8× 355 0.7× 353 0.9× 295 0.7× 358 1.2× 83 1.2k
Hiroki Takezawa 954 1.0× 607 1.2× 268 0.7× 322 0.8× 475 1.6× 39 1.4k
Md. Akhtarul Alam 489 0.5× 648 1.3× 285 0.7× 499 1.2× 252 0.8× 48 1.4k
Walter M. Müller 906 1.0× 513 1.0× 246 0.6× 513 1.3× 110 0.4× 59 1.4k
Da‐Yang Zhou 1.1k 1.2× 578 1.2× 265 0.6× 628 1.5× 206 0.7× 62 1.5k
Elizabeth F. McCord 1.2k 1.2× 267 0.5× 188 0.5× 240 0.6× 236 0.8× 44 1.8k
Toshiaki Ikeda 870 0.9× 851 1.7× 432 1.1× 204 0.5× 91 0.3× 56 1.4k
Xiao‐Yang Chen 857 0.9× 489 1.0× 121 0.3× 211 0.5× 190 0.6× 39 1.4k
Tong Lu 564 0.6× 841 1.7× 168 0.4× 266 0.7× 253 0.8× 68 1.5k

Countries citing papers authored by Xuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Wu

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