Shuying Chen

101 total papers · 1.1k total citations
60 papers, 752 citations indexed

About

Shuying Chen is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Shuying Chen has authored 60 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 11 papers in Molecular Biology and 8 papers in Infectious Diseases. Recurrent topics in Shuying Chen's work include Wound Healing and Treatments (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Bacterial biofilms and quorum sensing (5 papers). Shuying Chen is often cited by papers focused on Wound Healing and Treatments (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Bacterial biofilms and quorum sensing (5 papers). Shuying Chen collaborates with scholars based in China, Taiwan and United States. Shuying Chen's co-authors include Pao‐Yun Cheng, Yen‐Mei Lee, Kwok‐Keung Lam, Hsin‐Hsueh Shen, Shuo Liu, Yafen Chen, Lulin Rao, Yinjuan Guo, Yanlei Xu and Fangyou Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Shuying Chen

56 papers receiving 744 citations

Author Peers

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

Author Last Decade Papers Cites
Shuying Chen 238 148 124 102 57 60 752
Neha Rastogi 336 1.4× 86 0.6× 131 1.1× 71 0.7× 71 1.2× 97 772
Yan Xia 235 1.0× 144 1.0× 135 1.1× 165 1.6× 56 1.0× 67 875
Shan Wei 233 1.0× 141 1.0× 88 0.7× 105 1.0× 83 1.5× 48 765
Eugenio Luigi Iorio 244 1.0× 82 0.6× 31 0.3× 98 1.0× 92 1.6× 43 877
Christine Masson 188 0.8× 160 1.1× 146 1.2× 47 0.5× 61 1.1× 46 712
Yi Chen 292 1.2× 107 0.7× 92 0.7× 124 1.2× 79 1.4× 47 795
Andrzej Wiczkowski 202 0.8× 132 0.9× 85 0.7× 49 0.5× 47 0.8× 66 838
Maria Kulecka 451 1.9× 91 0.6× 64 0.5× 173 1.7× 68 1.2× 65 848
Peter Joller 196 0.8× 73 0.5× 60 0.5× 199 2.0× 190 3.3× 39 793
Masakatsu Gotō 169 0.7× 211 1.4× 41 0.3× 61 0.6× 142 2.5× 74 720

Countries citing papers authored by Shuying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shuying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuying Chen

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