Mao Xie

72 total papers · 930 total citations
44 papers, 614 citations indexed

About

Mao Xie is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Mao Xie has authored 44 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Biomedical Engineering. Recurrent topics in Mao Xie's work include Artificial Intelligence in Healthcare and Education (5 papers), Cancer-related molecular mechanisms research (4 papers) and Surgical Simulation and Training (4 papers). Mao Xie is often cited by papers focused on Artificial Intelligence in Healthcare and Education (5 papers), Cancer-related molecular mechanisms research (4 papers) and Surgical Simulation and Training (4 papers). Mao Xie collaborates with scholars based in China, Singapore and United States. Mao Xie's co-authors include Zhewei Ye, Zengwu Shao, Xinghuo Wu, Song Xu, Xiaobo Feng, Hongzhi Hu, Jiayao Zhang, Yi Xie, Lin Lu and Songxiang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Carbohydrate Polymers.

In The Last Decade

Mao Xie

40 papers receiving 603 citations

Author Peers

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

Author Last Decade Papers Cites
Mao Xie 169 166 133 82 75 44 614
Weimin Huang 86 0.5× 101 0.6× 58 0.4× 47 0.6× 17 0.2× 60 560
Zhihai Su 120 0.7× 119 0.7× 236 1.8× 73 0.9× 11 0.1× 29 531
Ye Li 185 1.1× 148 0.9× 115 0.9× 108 1.3× 42 0.6× 36 637
Daniel S. Herman 203 1.2× 131 0.8× 34 0.3× 28 0.3× 101 1.3× 33 673
Peng Peng 148 0.9× 99 0.6× 71 0.5× 70 0.9× 84 1.1× 43 691
Joshua Levy 153 0.9× 91 0.5× 33 0.2× 44 0.5× 72 1.0× 70 611
Wei Jiao 104 0.6× 131 0.8× 58 0.4× 15 0.2× 53 0.7× 43 567
Michele Bevilacqua 82 0.5× 78 0.5× 33 0.2× 39 0.5× 18 0.2× 44 617
Simin Chen 119 0.7× 50 0.3× 44 0.3× 28 0.3× 45 0.6× 64 561
Jing-bin Huang 139 0.8× 85 0.5× 53 0.4× 15 0.2× 86 1.1× 51 664

Countries citing papers authored by Mao Xie

Since Specialization
Citations

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

Fields of papers citing papers by Mao Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mao Xie

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