Danny van Noort
Impact in
- Biomedical Engineering top 1%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- Hepatology top 5%
Papers in
-
- 3D Printing in Biomedical Research 21
- Microfluidic and Bio-sensing Technologies 16
- Microfluidic and Capillary Electrophoresis Applications 11
- Innovative Microfluidic and Catalytic Techniques Innovation 9
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- Advanced biosensing and bioanalysis techniques 9
- DNA and Biological Computing 8
- Pluripotent Stem Cells Research 5
- Co-authors
- Hanry Yu (10 shared papers)Yi‐Chin Toh (6 shared papers)Sungsu Park (14 shared papers)Ziqing Zhao (2 shared papers)Guangfa Xiao (2 shared papers)Dean Tai (1 shared paper)Teck Chuan Lim (1 shared paper)Chi Zhang (1 shared paper)
- Journals
- Lab on a Chip (7 papers)Biomaterials (4 papers)Biosensors and Bioelectronics (3 papers)Analytical Chemistry (3 papers)Natural Computing (2 papers)
- Partner nations
- South KoreaSingaporeSweden
In The Last Decade
Danny van Noort
52 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 118
- Biomedical Engineering 1.7k
- Hepatology 131
- Bioengineering 83
- Cell Biology 216
- Biophysics 67
Countries citing papers authored by Danny van Noort
This map shows the geographic impact of Danny van Noort'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 Danny van Noort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny van Noort more than expected).
Fields of papers citing papers by Danny van Noort
This network shows the impact of papers produced by Danny van Noort. 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 Danny van Noort. The network helps show where Danny van Noort may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny van Noort, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 346 | |
| 2 | 2009 | 330 | |
| 3 | 2009 | 272 | |
| 4 | 2007 | 169 | |
| 5 | 2008 | 131 | |
| 6 | 2009 | 110 | |
| 7 | 2008 | 98 | |
| 8 | 2011 | 75 | |
| 9 | 2000 | 75 | |
| 10 | 2009 | 60 | |
| 11 | 2014 | 52 | |
| 12 | 2011 | 51 | |
| 13 | 2007 | 49 | |
| 14 | 2018 | 48 | |
| 15 | 2017 | 41 | |
| 16 | 2021 | 35 | |
| 17 | 2022 | 33 | |
| 18 | 2009 | 29 | |
| 19 | 2020 | 26 | |
| 20 | 1998 | 25 |
About Danny van Noort
Danny van Noort is a scholar working on Biomedical Engineering, Molecular Biology, Cell Biology, Mechanical Engineering and Oncology, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (21 papers), Microfluidic and Bio-sensing Technologies (16 papers), Microfluidic and Capillary Electrophoresis Applications (11 papers), Advanced biosensing and bioanalysis techniques (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (9 papers), DNA and Biological Computing (8 papers), Modular Robots and Swarm Intelligence (6 papers) and Pluripotent Stem Cells Research (5 papers). The work is most often cited by research in Biomedical Engineering (1.7k citations), Hepatology (131 citations), Bioengineering (83 citations), Cell Biology (216 citations) and Biophysics (67 citations). Danny van Noort has collaborated with scholars based in South Korea, Singapore and Sweden. Frequent co-authors include Hanry Yu, Yi‐Chin Toh, Sungsu Park, Ziqing Zhao, Guangfa Xiao, Dean Tai, Teck Chuan Lim, Chi Zhang, Nur Aida Abdul Rahim and Siew‐Min Ong. Their work appears in journals such as Lab on a Chip, Biomaterials, Biosensors and Bioelectronics, Analytical Chemistry and Natural Computing.
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.