Fu-Yu Hsieh

1.3k citations
19 papers · 1.1k indexed · h-index 15
Topics
3D Printing in Biomedical Research (4 papers)Electrospun Nanofibers in Biomedical Applications (4 papers)Pluripotent Stem Cells Research (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBiomaterials

In The Last Decade

Fu-Yu Hsieh

19 papers receiving 1.0k citations

Peers

Fu-Yu Hsieh
Comparison fields: 5 of 99
  • Biomedical Engineering 633
  • Biomaterials 275
  • Molecular Biology 219
  • Automotive Engineering 208
  • Cellular and Molecular Neuroscience 177
Replace Paul Wieringa with:
Paul Wieringa Netherlands
Widya Mulyasasmita United States
Jacob Koffler United States
John P. Frampton Canada
Thomas S. Wilems United States
Binata Joddar United States
Guang‐Zhen Jin South Korea
Christopher J. Rivet United States
Jonathan M. Zuidema United States
Ying Bai China
Fu-Yu Hsieh relative to Paul Wieringa Netherlands Paul Wieringa's profile →
Citations per field
00.5×3.5×
Paul Wieringa · 1×
Citations per year

Countries citing papers authored by Fu-Yu Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Fu-Yu Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu-Yu Hsieh. 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 Fu-Yu Hsieh. The network helps show where Fu-Yu Hsieh may publish in the future.

Co-authorship network of co-authors of Fu-Yu Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Fu-Yu Hsieh. A scholar is included among the top collaborators of Fu-Yu Hsieh 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 Fu-Yu Hsieh. Fu-Yu Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 3
2 33
3 34
4 95
5 125
6 85
7 24
8 9
9 66
10 6
11 343
12 80
13 24
14 27
15 24
16 18
17 33
18 19
19 3

About Fu-Yu Hsieh

Fu-Yu Hsieh is a scholar working on Developmental Neuroscience, Molecular Medicine and Biomaterials, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Molecular Medicine (149 citations), Biomaterials (275 citations) and Automotive Engineering (208 citations). Fu-Yu Hsieh has collaborated with scholars based in Taiwan, United Kingdom and China. Frequent co-authors include Shan‐hui Hsu, Hsin-Hua Lin, Yen Wei, Ting-Chen Tseng, Lei Tao, Patrick Théato, Ching‐Shiow Tseng, Yi‐Chuan Cheng, Alexander V. Zhilenkov and Ekaterina A. Khakina. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

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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