Yingji Mao

59 total papers · 1.0k total citations
46 papers, 791 citations indexed

About

Yingji Mao is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Yingji Mao has authored 46 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Biomedical Engineering and 11 papers in Biomaterials. Recurrent topics in Yingji Mao's work include Electrospun Nanofibers in Biomedical Applications (9 papers), Spine and Intervertebral Disc Pathology (7 papers) and Bone Tissue Engineering Materials (7 papers). Yingji Mao is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (9 papers), Spine and Intervertebral Disc Pathology (7 papers) and Bone Tissue Engineering Materials (7 papers). Yingji Mao collaborates with scholars based in China. Yingji Mao's co-authors include Pinghui Zhou, Jingjing Guan, Yiwen Zhang, Zhixiang Li, Lifang Wu, Panpan Xu, Changchun Zhang, Yu Chen, Jinyan Hou and Lijun Shang and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Chemical Engineering Journal.

In The Last Decade

Yingji Mao

44 papers receiving 784 citations

Author Peers

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

Author Last Decade Papers Cites
Yingji Mao 326 218 195 137 126 46 791
Weinan Cheng 284 0.9× 385 1.8× 159 0.8× 75 0.5× 118 0.9× 24 878
Jin Qi 175 0.5× 230 1.1× 124 0.6× 80 0.6× 80 0.6× 25 740
Chunwu Zhang 257 0.8× 131 0.6× 246 1.3× 42 0.3× 78 0.6× 43 887
Zan Tong 136 0.4× 169 0.8× 198 1.0× 52 0.4× 97 0.8× 33 810
Jie Pan 155 0.5× 112 0.5× 226 1.2× 43 0.3× 79 0.6× 44 791
Kaijin Guo 338 1.0× 127 0.6× 286 1.5× 47 0.3× 121 1.0× 27 890
Graciela E. Santillán 215 0.7× 98 0.4× 269 1.4× 117 0.9× 87 0.7× 34 792
Hatef Ghasemi Hamidabadi 185 0.6× 245 1.1× 221 1.1× 44 0.3× 157 1.2× 54 810
Martin Pravda 219 0.7× 233 1.1× 223 1.1× 37 0.3× 132 1.0× 29 810
G. Marino 295 0.9× 265 1.2× 134 0.7× 34 0.2× 205 1.6× 21 906

Countries citing papers authored by Yingji Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yingji Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingji Mao

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