Amy Y. Hsiao

3.0k citations
15 papers · 2.4k indexed · 2 hit papers · h-index 11
Topics
3D Printing in Biomedical Research (8 papers)Innovative Microfluidic and Catalytic Techniques Innovation (4 papers)Additive Manufacturing and 3D Printing Technologies (3 papers)
Partner nations
United StatesTaiwanJapan

In The Last Decade

Amy Y. Hsiao

14 papers receiving 2.4k citations

Hit Papers

Opportunities and challenges for use of tumor spheroids a...201020262015202020122010250500750

Peers

Amy Y. Hsiao
Comparison fields: 5 of 116
  • Biomedical Engineering 1.8k
  • Oncology 846
  • Molecular Biology 472
  • Cell Biology 338
  • Biomaterials 295
Replace Jens M. Kelm with:
Jens M. Kelm Switzerland
Jessie S. Jeon South Korea
Glauco R. Souza United States
Elisabete C. Costa Portugal
Eliza Li Shan Fong Singapore
Ioannis K. Zervantonakis United States
Mahesh Devarasetty United States
Julio Aleman United States
Kyung E. Sung United States
Duarte de Melo‐Diogo Portugal
Amy Y. Hsiao relative to Jens M. Kelm Switzerland Jens M. Kelm's profile →
Citations per field
00.5×
Jens M. Kelm · 1×
Citations per year

Countries citing papers authored by Amy Y. Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Amy Y. Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy Y. Hsiao. 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 Amy Y. Hsiao. The network helps show where Amy Y. Hsiao may publish in the future.

Co-authorship network of co-authors of Amy Y. Hsiao

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 8
3 1
4 56
5 53
6 31
7 10
8
Opportunities and challenges for use of tumor spheroids as models to test drug delivery and efficacybreakdown →
924
9 103
10 108
11
High-throughput 3D spheroid culture and drug testing using a 384 hanging drop arraybreakdown →
759
12 10
13 63
14 248
15 14

About Amy Y. Hsiao

Amy Y. Hsiao is a scholar working on Biophysics, Automotive Engineering and Biomedical Engineering, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (8 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). The work is most often cited by research in Biomedical Engineering (1.8k citations), Oncology (846 citations) and Biophysics (152 citations). Amy Y. Hsiao has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Shuichi Takayama, Yi‐Chung Tung, Gary D. Luker, Marylou Ingram, Geeta Mehta, Yu‐suke Torisawa, Steven G. Allen, Mitchell Ho, Kenneth J. Pienta and Sudha Sud. Their work appears in journals such as Applied Physics Letters, 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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