Xiaoyun Wu

28 total papers · 1.0k total citations
25 papers, 834 citations indexed

About

Xiaoyun Wu is a scholar working on Virology, Infectious Diseases and Plant Science. According to data from OpenAlex, Xiaoyun Wu has authored 25 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Virology, 10 papers in Infectious Diseases and 8 papers in Plant Science. Recurrent topics in Xiaoyun Wu's work include HIV Research and Treatment (11 papers), HIV/AIDS drug development and treatment (7 papers) and HIV/AIDS Research and Interventions (4 papers). Xiaoyun Wu is often cited by papers focused on HIV Research and Treatment (11 papers), HIV/AIDS drug development and treatment (7 papers) and HIV/AIDS Research and Interventions (4 papers). Xiaoyun Wu collaborates with scholars based in China, United States and Nepal. Xiaoyun Wu's co-authors include John C. Kappes, Joan A. Conway, Diane M. Maher, Timothy W. Schacker, Peter J. Southern, Vinayaka R. Prasad, Ganjam V. Kalpana, Hongmei Liu, Margaret A. Newman and George M. Shaw and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Plant Cell.

In The Last Decade

Xiaoyun Wu

24 papers receiving 817 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoyun Wu 464 395 329 176 135 25 834
Rebecca Gray 320 0.7× 364 0.9× 189 0.6× 73 0.4× 265 2.0× 29 947
Brandon S. Maust 314 0.7× 250 0.6× 218 0.7× 125 0.7× 110 0.8× 22 737
Daniel Bruno 375 0.8× 174 0.4× 183 0.6× 124 0.7× 240 1.8× 28 715
J J Esposito 728 1.6× 183 0.5× 495 1.5× 118 0.7× 535 4.0× 24 985
Nicholas F. Parrish 248 0.5× 215 0.5× 353 1.1× 136 0.8× 148 1.1× 26 867
Joan Crick 320 0.7× 220 0.6× 203 0.6× 60 0.3× 282 2.1× 31 840
Julie Yamaguchi 670 1.4× 622 1.6× 186 0.6× 64 0.4× 253 1.9× 40 1.0k
N. Carol Casavant 150 0.3× 148 0.4× 429 1.3× 252 1.4× 113 0.8× 22 730
Pakorn Aiewsakun 116 0.3× 220 0.6× 294 0.9× 352 2.0× 206 1.5× 35 918
Jacqueline Gelfi 175 0.4× 457 1.2× 150 0.5× 124 0.7× 274 2.0× 27 974

Countries citing papers authored by Xiaoyun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun Wu

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