Shoudong Ye

48 total papers · 1.5k total citations
41 papers, 1.1k citations indexed

About

Shoudong Ye is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Shoudong Ye has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 9 papers in Biomedical Engineering and 4 papers in Surgery. Recurrent topics in Shoudong Ye's work include Pluripotent Stem Cells Research (31 papers), CRISPR and Genetic Engineering (24 papers) and 3D Printing in Biomedical Research (9 papers). Shoudong Ye is often cited by papers focused on Pluripotent Stem Cells Research (31 papers), CRISPR and Genetic Engineering (24 papers) and 3D Printing in Biomedical Research (9 papers). Shoudong Ye collaborates with scholars based in China, United States and Hong Kong. Shoudong Ye's co-authors include Qi‐Long Ying, Chang Tong, Dahai Liu, Xingliang Zhou, Guanyi Huang, Ping Li, He‐Xin Yan, Ping Li, Jun Wu and Hoon Kim and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The EMBO Journal.

In The Last Decade

Shoudong Ye

38 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Shoudong Ye 919 138 106 104 90 41 1.1k
Qiang Zhuang 779 0.8× 104 0.8× 197 1.9× 88 0.8× 80 0.9× 34 1.1k
Yi Wu 712 0.8× 152 1.1× 120 1.1× 88 0.8× 60 0.7× 40 950
Fan Zhou 827 0.9× 174 1.3× 60 0.6× 70 0.7× 64 0.7× 46 1.0k
Atsushi Fujimura 814 0.9× 129 0.9× 88 0.8× 60 0.6× 166 1.8× 51 1.3k
Ke Xu 764 0.8× 82 0.6× 152 1.4× 91 0.9× 103 1.1× 30 1.2k
Michelle Desler 809 0.9× 100 0.7× 75 0.7× 79 0.8× 141 1.6× 20 934
María D. Mayán 808 0.9× 144 1.0× 64 0.6× 54 0.5× 72 0.8× 44 1.1k
Irina Neganova 895 1.0× 139 1.0× 83 0.8× 103 1.0× 192 2.1× 41 1.1k
Milan Ešner 997 1.1× 114 0.8× 182 1.7× 159 1.5× 157 1.7× 24 1.3k
Keishi Otsu 785 0.9× 98 0.7× 209 2.0× 113 1.1× 134 1.5× 46 1.2k

Countries citing papers authored by Shoudong Ye

Since Specialization
Citations

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

Fields of papers citing papers by Shoudong Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoudong Ye

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