Chen‐Yu Tsao

2.0k citations
55 papers · 1.7k indexed · h-index 25

Impact in

Papers in

Chen‐Yu Tsao

54 papers receiving 1.7k citations

Peers

Chen‐Yu Tsao
Comparison fields: 5 of 93
  • Molecular Medicine 107
  • Endocrinology 108
  • Biomedical Engineering 725
  • Cellular and Molecular Neuroscience 276
  • Molecular Biology 1.0k
Replace Hsuan‐Chen Wu with:
Hsuan‐Chen Wu United States
Sebastian Beck Germany
Jean‐Pierre Alcaraz France
Yansong Miao Singapore
Qin Wang China
Jessica L. Terrell United States
Kevin Yehl United States
Jodi L. Connell United States
David J. Sherman United States
Chen‐Yu Tsao relative to Hsuan‐Chen Wu United States Hsuan‐Chen Wu's profile →
Citations per field
00.5×4.3×
Hsuan‐Chen Wu · 1×
Citations per year

Countries citing papers authored by Chen‐Yu Tsao

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Yu Tsao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen‐Yu Tsao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chen‐Yu Tsao Line = papers co-authored together Chen‐Yu Tsao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202315
2 20221
3 20216
4 20217
5 202023
6 201988
7 201832
8 201817
9 20187
10 201619
11 201616
12 201529
13 201337
14 201361
15 201158
16 20119
17 2010119
18 201032
19 200928
20 200649

About Chen‐Yu Tsao

Chen‐Yu Tsao is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Molecular Biology, Surfaces, Coatings and Films and Endocrinology, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (20 papers), 3D Printing in Biomedical Research (10 papers), Molecular Communication and Nanonetworks (9 papers), Bacterial Genetics and Biotechnology (9 papers), Microfluidic and Bio-sensing Technologies (9 papers), Neuroscience and Neural Engineering (8 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Biosensors and Analytical Detection (6 papers). The work is most often cited by research in Molecular Medicine (107 citations), Endocrinology (108 citations), Biomedical Engineering (725 citations), Cellular and Molecular Neuroscience (276 citations) and Molecular Biology (1.0k citations). Chen‐Yu Tsao has collaborated with scholars based in United States, Nepal and Taiwan. Frequent co-authors include William E. Bentley, Hsuan‐Chen Wu, Gregory F. Payne, James J. Valdés, Gary W. Rubloff, Gregory F. Payne, Jessica L. Terrell, Yoshifumi Hashimoto, Liang Wang and Eunkyoung Kim. Their work appears in journals such as Lab on a Chip, Advanced Functional Materials, Biotechnology and Bioengineering, Nature Communications and Metabolic Engineering.

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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