Xiaoxia Tao

44 total papers · 768 total citations
27 papers, 607 citations indexed

About

Xiaoxia Tao is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Xiaoxia Tao has authored 27 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 7 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Xiaoxia Tao's work include Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial biofilms and quorum sensing (6 papers) and Microbial infections and disease research (5 papers). Xiaoxia Tao is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial biofilms and quorum sensing (6 papers) and Microbial infections and disease research (5 papers). Xiaoxia Tao collaborates with scholars based in China, Netherlands and United Kingdom. Xiaoxia Tao's co-authors include Jianzhong Zhang, Lihua He, Fei Zhao, Fanliang Meng, Min Lv, Xiaomei Yan, Bin Cao, Yudong Yin, Binghua Zhang and Yuanhai You and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Xiaoxia Tao

24 papers receiving 598 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoxia Tao 254 214 214 189 91 27 607
Fanliang Meng 280 1.1× 223 1.0× 176 0.8× 127 0.7× 82 0.9× 31 597
Nicole Lemmens‐den Toom 178 0.7× 122 0.6× 285 1.3× 217 1.1× 167 1.8× 19 611
Sergio Vaca 166 0.7× 151 0.7× 173 0.8× 143 0.8× 121 1.3× 38 630
Andrea Ciammaruconi 140 0.6× 98 0.5× 141 0.7× 303 1.6× 64 0.7× 36 678
Kristin Dyet 157 0.6× 190 0.9× 78 0.4× 100 0.5× 146 1.6× 34 502
Ayşen Bayram 187 0.7× 86 0.4× 245 1.1× 165 0.9× 105 1.2× 37 688
Thomas R. Oberhofer 138 0.5× 188 0.9× 77 0.4× 107 0.6× 64 0.7× 32 555
İclal Balcı 167 0.7× 85 0.4× 172 0.8× 146 0.8× 112 1.2× 34 547
Miguel P. Machado 167 0.7× 87 0.4× 105 0.5× 205 1.1× 100 1.1× 22 546
Devon Metcalf 119 0.5× 135 0.6× 271 1.3× 161 0.9× 34 0.4× 16 565

Countries citing papers authored by Xiaoxia Tao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxia Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxia Tao

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