Matt Trau
- Biomedical Engineering top 0.2%
- Biosensors and Analytical Detection 50
- Microfluidic and Bio-sensing Technologies 28
- Nanopore and Nanochannel Transport Studies 20
- Molecular Biology top 0.5%
- Advanced biosensing and bioanalysis techniques 91
- Advanced Biosensing Techniques and Applications 32
- Extracellular vesicles in disease 27
- Epigenetics and DNA Methylation 22
- Cancer Research top 1%
- Biomaterials top 1%
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- Gold and Silver Nanoparticles Synthesis and Applications 24
- Co-authors
- I. A. AksayYuling WangMuhammad J. A. ShiddikyKevin M. KooEugene J. H. WeeD. A. SavilleWill AndersonLaura G. Carrascosa
- Partner nations
- AustraliaSingaporeUnited States
In The Last Decade
Matt Trau
278 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Biomedical Engineering 5.5k
- Molecular Biology 6.2k
- Cancer Research 1.3k
- Biomaterials 1.1k
- Electronic, Optical and Magnetic Materials 1.4k
Countries citing papers authored by Matt Trau
This map shows the geographic impact of Matt Trau'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 Matt Trau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Trau more than expected).
Fields of papers citing papers by Matt Trau
This network shows the impact of papers produced by Matt Trau. 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 Matt Trau. The network helps show where Matt Trau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matt Trau, 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 | 2026 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 30 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 23 | |
| 13 | 2021 | 73 | |
| 14 | 2020 | 131 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 24 | |
| 17 | 2009 | 14 | |
| 18 | 2009 | 8 | |
| 19 | 2008 | 6 | |
| 20 | 2008 | 5 |
About Matt Trau
Matt Trau is a scholar working on Biomedical Engineering, Biomaterials, Molecular Biology, Surfaces, Coatings and Films and Biophysics, having authored 282 papers that have together received 12.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (91 papers), Biosensors and Analytical Detection (50 papers), Advanced Biosensing Techniques and Applications (32 papers), Microfluidic and Bio-sensing Technologies (28 papers), Extracellular vesicles in disease (27 papers), Gold and Silver Nanoparticles Synthesis and Applications (24 papers), Epigenetics and DNA Methylation (22 papers) and Nanopore and Nanochannel Transport Studies (20 papers). The work is most often cited by research in Biomedical Engineering (5.5k citations), Molecular Biology (6.2k citations), Cancer Research (1.3k citations), Biomaterials (1.1k citations) and Electronic, Optical and Magnetic Materials (1.4k citations). Matt Trau has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include I. A. Aksay, Yuling Wang, Muhammad J. A. Shiddiky, Kevin M. Koo, Eugene J. H. Wee, D. A. Saville, Will Anderson, Laura G. Carrascosa, Darren Korbie and Abu Ali Ibn Sina. Their work appears in journals such as Analytical Chemistry, Langmuir, Chemical Communications, Scientific Reports and Biosensors and Bioelectronics.
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.