Xiaobing Wu

73 total papers · 593 total citations
55 papers, 450 citations indexed

About

Xiaobing Wu is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Xiaobing Wu has authored 55 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Genetics and 15 papers in Ecology. Recurrent topics in Xiaobing Wu's work include Genetic diversity and population structure (16 papers), Amphibian and Reptile Biology (11 papers) and Genomics and Phylogenetic Studies (10 papers). Xiaobing Wu is often cited by papers focused on Genetic diversity and population structure (16 papers), Amphibian and Reptile Biology (11 papers) and Genomics and Phylogenetic Studies (10 papers). Xiaobing Wu collaborates with scholars based in China, United States and Sweden. Xiaobing Wu's co-authors include Peng Yan, Ting Wu, Zhigang Jiang, Juan Zhao, Baowei Zhang, Huabin Zhang, Ruyi Yang, Hui Liu, Hui Xue and Xiaoqiang Li and has published in prestigious journals such as PLoS ONE, Chemosphere and Science Advances.

In The Last Decade

Xiaobing Wu

50 papers receiving 426 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaobing Wu 159 144 101 80 64 55 450
Julie L. King 111 0.7× 216 1.5× 196 1.9× 40 0.5× 61 1.0× 27 524
Katarzyna Dudek 78 0.5× 214 1.5× 123 1.2× 97 1.2× 39 0.6× 30 448
David Salazar‐Valenzuela 129 0.8× 169 1.2× 140 1.4× 138 1.7× 34 0.5× 27 434
Tom van der Valk 209 1.3× 338 2.3× 170 1.7× 26 0.3× 29 0.5× 32 525
Peng Li 151 0.9× 68 0.5× 234 2.3× 92 1.1× 47 0.7× 48 511
Evelyn L. Jensen 124 0.8× 248 1.7× 194 1.9× 56 0.7× 140 2.2× 37 514
Nian‐Hong Jang‐Liaw 222 1.4× 170 1.2× 99 1.0× 121 1.5× 145 2.3× 42 459
Chih‐Ming Hung 98 0.6× 172 1.2× 197 2.0× 39 0.5× 47 0.7× 28 417
Greta J. Frankham 204 1.3× 214 1.5× 279 2.8× 43 0.5× 65 1.0× 44 451
Carolina Ureta 78 0.5× 125 0.9× 84 0.8× 82 1.0× 82 1.3× 22 492

Countries citing papers authored by Xiaobing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Wu

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