Yuan‐Yu Hsueh

58 total papers · 2.2k total citations
36 papers, 611 citations indexed

About

Yuan‐Yu Hsueh is a scholar working on Cellular and Molecular Neuroscience, Surgery and Genetics. According to data from OpenAlex, Yuan‐Yu Hsueh has authored 36 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 11 papers in Surgery and 10 papers in Genetics. Recurrent topics in Yuan‐Yu Hsueh's work include Nerve injury and regeneration (10 papers), Mesenchymal stem cell research (10 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Yuan‐Yu Hsueh is often cited by papers focused on Nerve injury and regeneration (10 papers), Mesenchymal stem cell research (10 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Yuan‐Yu Hsueh collaborates with scholars based in Taiwan, United States and South Korea. Yuan‐Yu Hsueh's co-authors include Chia‐Ching Wu, Tzu-Chieh Huang, Song Li, Ya‐Ju Chang, Shih-Chen Fan, Jun Fang, Jia‐Jin Jason Chen, Jennifer Soto, Chia-Wei Huang and Jahyun Koo and has published in prestigious journals such as ACS Nano, Biomaterials and Scientific Reports.

In The Last Decade

Yuan‐Yu Hsueh

33 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
Yuan‐Yu Hsueh 198 184 166 128 128 36 611
Liangfu Jiang 207 1.0× 128 0.7× 218 1.3× 87 0.7× 73 0.6× 29 583
Sa Cai 239 1.2× 242 1.3× 152 0.9× 241 1.9× 93 0.7× 30 659
Yuanyuan Xie 157 0.8× 192 1.0× 122 0.7× 134 1.0× 86 0.7× 42 634
Ana Catarina Sousa 175 0.9× 104 0.6× 159 1.0× 149 1.2× 203 1.6× 47 639
Toshiaki Numajiri 170 0.9× 98 0.5× 371 2.2× 156 1.2× 104 0.8× 61 691
Adil Ladak 332 1.7× 99 0.5× 276 1.7× 91 0.7× 90 0.7× 21 699
Pouya Mafi 106 0.5× 186 1.0× 211 1.3× 268 2.1× 84 0.7× 24 654
Kiyohito Takamatsu 308 1.6× 126 0.7× 356 2.1× 65 0.5× 77 0.6× 54 613
Tiago Pereira 174 0.9× 109 0.6× 230 1.4× 278 2.2× 175 1.4× 24 665
Martha L. Arango-Rodríguez 85 0.4× 259 1.4× 138 0.8× 199 1.6× 67 0.5× 25 656

Countries citing papers authored by Yuan‐Yu Hsueh

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Yu Hsueh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Yu Hsueh. 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 Yuan‐Yu Hsueh. The network helps show where Yuan‐Yu Hsueh may publish in the future.

Co-authorship network of co-authors of Yuan‐Yu Hsueh

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Yu Hsueh. A scholar is included among the top collaborators of Yuan‐Yu Hsueh 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 Yuan‐Yu Hsueh. Yuan‐Yu Hsueh 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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