Shih-Tien Hsu

51 total papers · 2.0k total citations
48 papers, 1.6k citations indexed

About

Shih-Tien Hsu is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Shih-Tien Hsu has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Biomedical Engineering and 16 papers in Surgery. Recurrent topics in Shih-Tien Hsu's work include 3D Printing in Biomedical Research (17 papers), Pluripotent Stem Cells Research (16 papers) and Mesenchymal stem cell research (14 papers). Shih-Tien Hsu is often cited by papers focused on 3D Printing in Biomedical Research (17 papers), Pluripotent Stem Cells Research (16 papers) and Mesenchymal stem cell research (14 papers). Shih-Tien Hsu collaborates with scholars based in Taiwan, Japan and Malaysia. Shih-Tien Hsu's co-authors include Akon Higuchi, Qing‐Dong Ling, Akihiro Umezawa, Yung Chang, Suresh Kumar, Murugan A. Munusamy, Abdullah A. Alarfaj, Ching‐Yu Chen, Kai-Kuen Leung and Bee‐Horng Lue and has published in prestigious journals such as Chemical Reviews, PLoS ONE and Biomaterials.

In The Last Decade

Shih-Tien Hsu

47 papers receiving 1.5k citations

Hit Papers

Physical Cues of Biomater... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Shih-Tien Hsu 698 474 377 312 209 48 1.6k
Byung Hwa Hyun 667 1.0× 574 1.2× 338 0.9× 313 1.0× 132 0.6× 64 1.8k
Robert C. Spiro 395 0.6× 747 1.6× 346 0.9× 340 1.1× 123 0.6× 48 2.3k
Scott J. Roberts 798 1.1× 561 1.2× 438 1.2× 285 0.9× 271 1.3× 47 2.1k
Qi Li 535 0.8× 630 1.3× 344 0.9× 304 1.0× 140 0.7× 60 1.8k
Junfeng Ji 540 0.8× 754 1.6× 550 1.5× 595 1.9× 228 1.1× 51 2.2k
Gopal Pande 413 0.6× 667 1.4× 595 1.6× 393 1.3× 150 0.7× 70 2.0k
Robert A. Underwood 277 0.4× 659 1.4× 486 1.3× 182 0.6× 162 0.8× 51 2.3k
Susan H. Bernacki 614 0.9× 500 1.1× 479 1.3× 446 1.4× 374 1.8× 37 1.8k
Deshka S. Foster 218 0.3× 375 0.8× 358 0.9× 265 0.8× 131 0.6× 54 1.9k
Pascal Tomakidi 520 0.7× 733 1.5× 203 0.5× 232 0.7× 125 0.6× 106 2.3k

Countries citing papers authored by Shih-Tien Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Tien Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Tien Hsu. 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 Shih-Tien Hsu. The network helps show where Shih-Tien Hsu may publish in the future.

Co-authorship network of co-authors of Shih-Tien Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Tien Hsu. A scholar is included among the top collaborators of Shih-Tien Hsu 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 Shih-Tien Hsu. Shih-Tien Hsu 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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