Andy Tay
Impact in
- Biomedical Engineering top 2%
- Microfluidic and Bio-sensing Technologies
- 3D Printing in Biomedical Research
- Microfluidic and Capillary Electrophoresis Applications
- Pharmaceutical Science top 5%
Papers in
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- RNA Interference and Gene Delivery 7
- CRISPR and Genetic Engineering 7
- Advanced biosensing and bioanalysis techniques 6
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- 3D Printing in Biomedical Research 14
- Microfluidic and Bio-sensing Technologies 10
- Co-authors
- Majid Ebrahimi Warkiani (7 shared papers)Jongyoon Han (4 shared papers)Dino Di Carlo (16 shared papers)Chwee Teck Lim (6 shared papers)Lidan Wu (2 shared papers)Bee Luan Khoo (2 shared papers)Nicholas A. Melosh (5 shared papers)Ali Asgar S. Bhagat (1 shared paper)
- Journals
- Advanced Functional Materials (7 papers)Lab on a Chip (7 papers)ACS Nano (5 papers)Nature (5 papers)eLife (4 papers)
- Partner nations
- SingaporeUnited StatesAustralia
In The Last Decade
Andy Tay
68 papers receiving 2.4k citations
Andy Tay's Hit Papers
Peers
Comparison fields: 5 of 151
- Biomedical Engineering 1.4k
- Pharmaceutical Science 116
- Biomaterials 207
- Cellular and Molecular Neuroscience 270
- Oncology 333
Countries citing papers authored by Andy Tay
This map shows the geographic impact of Andy Tay'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 Andy Tay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Tay more than expected).
Fields of papers citing papers by Andy Tay
This network shows the impact of papers produced by Andy Tay. 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 Andy Tay. The network helps show where Andy Tay may publish in the future.
Co-authors
The 25 scholars most cited alongside Andy Tay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ultra-fast, label-free isolation of circulating tumor cells from blood using spiral microfluidics Hit paper breakdown → | 2015 | 462 |
| 2 | 2018 | 138 | |
| 3 | 2015 | 135 | |
| 4 | 2014 | 102 | |
| 5 | 2022 | 99 | |
| 6 | 2018 | 94 | |
| 7 | 2015 | 91 | |
| 8 | 2016 | 90 | |
| 9 | 2017 | 85 | |
| 10 | 2019 | 81 | |
| 11 | 2016 | 74 | |
| 12 | 2023 | 73 | |
| 13 | 2016 | 69 | |
| 14 | 2022 | 63 | |
| 15 | 2021 | 61 | |
| 16 | 2019 | 48 | |
| 17 | 2023 | 37 | |
| 18 | 2023 | 36 | |
| 19 | 2024 | 35 | |
| 20 | 2023 | 32 |
About Andy Tay
Andy Tay is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Cell Biology and Surgery, having authored 71 papers that have together received 2.4k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (14 papers), Neuroscience and Neural Engineering (10 papers), Microfluidic and Bio-sensing Technologies (10 papers), RNA Interference and Gene Delivery (7 papers), Cellular Mechanics and Interactions (7 papers), CRISPR and Genetic Engineering (7 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). The work is most often cited by research in Biomedical Engineering (1.4k citations), Pharmaceutical Science (116 citations), Biomaterials (207 citations), Cellular and Molecular Neuroscience (270 citations) and Oncology (333 citations). Andy Tay has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Majid Ebrahimi Warkiani, Jongyoon Han, Dino Di Carlo, Chwee Teck Lim, Lidan Wu, Bee Luan Khoo, Nicholas A. Melosh, Ali Asgar S. Bhagat, Yufeng Shou and Zhicheng Le. Their work appears in journals such as Advanced Functional Materials, Lab on a Chip, ACS Nano, Nature and eLife.
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.