Chen‐Yu Tsao
Impact in
- Molecular Medicine top 5%
- Endocrinology top 5%
Papers in
-
- 3D Printing in Biomedical Research 10
- Molecular Communication and Nanonetworks 9
- Microfluidic and Bio-sensing Technologies 9
- Biosensors and Analytical Detection 6
-
- Neuroscience and Neural Engineering 8
- Co-authors
- William E. BentleyHsuan‐Chen WuGregory F. PayneJames J. ValdésGary W. RubloffJessica L. TerrellYoshifumi HashimotoLiang Wang
- Journals
- Lab on a Chip (6 papers)Advanced Functional Materials (5 papers)Biotechnology and Bioengineering (4 papers)Nature Communications (3 papers)Metabolic Engineering (2 papers)
- Partner nations
- United StatesNepalTaiwan
In The Last Decade
Chen‐Yu Tsao
54 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 93
- Molecular Medicine 107
- Endocrinology 108
- Biomedical Engineering 725
- Cellular and Molecular Neuroscience 276
- Molecular Biology 1.0k
Countries citing papers authored by Chen‐Yu Tsao
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 15 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 7 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 88 | |
| 7 | 2018 | 32 | |
| 8 | 2018 | 17 | |
| 9 | 2018 | 7 | |
| 10 | 2016 | 19 | |
| 11 | 2016 | 16 | |
| 12 | 2015 | 29 | |
| 13 | 2013 | 37 | |
| 14 | 2013 | 61 | |
| 15 | 2011 | 58 | |
| 16 | 2011 | 9 | |
| 17 | 2010 | 119 | |
| 18 | 2010 | 32 | |
| 19 | 2009 | 28 | |
| 20 | 2006 | 49 |
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.