Xing Ai

73 total papers · 2.2k total citations
40 papers, 737 citations indexed

About

Xing Ai is a scholar working on Molecular Biology, Surgery and Urology. According to data from OpenAlex, Xing Ai has authored 40 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Surgery and 9 papers in Urology. Recurrent topics in Xing Ai's work include Urological Disorders and Treatments (7 papers), Ureteral procedures and complications (6 papers) and Pediatric Urology and Nephrology Studies (5 papers). Xing Ai is often cited by papers focused on Urological Disorders and Treatments (7 papers), Ureteral procedures and complications (6 papers) and Pediatric Urology and Nephrology Studies (5 papers). Xing Ai collaborates with scholars based in China, United States and Macao. Xing Ai's co-authors include Chen Yao, Guohui Zhang, Tong Zhang, Tong Zang, Jingfei Teng, Han-Min Jiang, Ningshao Xia, Fengcai Zhu, Mun‐Hon Ng and Zhongze Wang and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and The Journal of Urology.

In The Last Decade

Xing Ai

38 papers receiving 726 citations

Author Peers

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

Author Last Decade Papers Cites
Xing Ai 272 175 151 130 126 40 737
Jianwei Li 141 0.5× 170 1.0× 224 1.5× 192 1.5× 128 1.0× 56 868
Mehmet Yücesoy 112 0.4× 127 0.7× 163 1.1× 304 2.3× 50 0.4× 40 817
Jing Sun 188 0.7× 277 1.6× 101 0.7× 317 2.4× 106 0.8× 66 804
Yuhu Song 272 1.0× 136 0.8× 122 0.8× 157 1.2× 76 0.6× 49 649
M. J. Phillips 117 0.4× 111 0.6× 189 1.3× 150 1.2× 107 0.8× 36 721
Ömer Özbakır 119 0.4× 130 0.7× 185 1.2× 307 2.4× 43 0.3× 44 894
Layla Shojaie 368 1.4× 75 0.4× 72 0.5× 168 1.3× 103 0.8× 34 902
Yafei Zhang 159 0.6× 102 0.6× 136 0.9× 103 0.8× 40 0.3× 44 700
Miriam Ruth Bueno‐Topete 259 1.0× 333 1.9× 98 0.6× 327 2.5× 60 0.5× 45 910
Ewert Schulte‐Frohlinde 99 0.4× 196 1.1× 146 1.0× 162 1.2× 58 0.5× 42 755

Countries citing papers authored by Xing Ai

Since Specialization
Citations

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

Fields of papers citing papers by Xing Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Ai

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