Frauke Greve
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- 3D Printing in Biomedical Research 6
- Microfluidic and Bio-sensing Technologies 4
- Microfluidic and Capillary Electrophoresis Applications 3
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- Neuroscience and Neural Engineering 6
- Co-authors
- Andreas Hierlemann (10 shared papers)K.‐U. Kirstein (4 shared papers)Urs Frey (4 shared papers)S. Hafizovic (4 shared papers)F J de Heer (4 shared papers)Ján Šedivý (2 shared papers)Douglas J. Bakkum (1 shared paper)Marco Ballini (1 shared paper)
- Journals
- Journal of Micromechanics and Microengineering (2 papers)Tissue Engineering (2 papers)Biomaterials (1 paper)SLAS DISCOVERY (1 paper)IEEE Journal of Solid-State Circuits (1 paper)
- Partner nations
- SwitzerlandGermanyJapan
In The Last Decade
Frauke Greve
13 papers receiving 352 citations
Peers
Comparison fields: 5 of 49
- Cellular and Molecular Neuroscience 245
- Cognitive Neuroscience 139
- Bioengineering 33
- Electrochemistry 26
- Structural Biology 5
Countries citing papers authored by Frauke Greve
This map shows the geographic impact of Frauke Greve'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 Frauke Greve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frauke Greve more than expected).
Fields of papers citing papers by Frauke Greve
This network shows the impact of papers produced by Frauke Greve. 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 Frauke Greve. The network helps show where Frauke Greve may publish in the future.
Co-authors
The 25 scholars most cited alongside Frauke Greve, 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 | 2010 | 192 | |
| 2 | 2006 | 45 | |
| 3 | 2007 | 38 | |
| 4 | 2007 | 27 | |
| 5 | 2020 | 21 | |
| 6 | 2007 | 11 | |
| 7 | 2006 | 8 | |
| 8 | 2007 | 7 | |
| 9 | 2007 | 5 | |
| 10 | 2006 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2006 | 2 | |
| 13 | 2006 | 1 |
About Frauke Greve
Frauke Greve is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Surgery and Molecular Biology, having authored 13 papers that have together received 362 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), 3D Printing in Biomedical Research (6 papers), Microfluidic and Bio-sensing Technologies (4 papers), EEG and Brain-Computer Interfaces (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Neural dynamics and brain function (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (245 citations), Cognitive Neuroscience (139 citations), Bioengineering (33 citations), Electrochemistry (26 citations) and Structural Biology (5 citations). Frauke Greve has collaborated with scholars based in Switzerland, Germany and Japan. Frequent co-authors include Andreas Hierlemann, K.‐U. Kirstein, Urs Frey, S. Hafizovic, F J de Heer, Ján Šedivý, Douglas J. Bakkum, Marco Ballini, Jan Henning Mueller and Francesca Dalia Faraci. Their work appears in journals such as Journal of Micromechanics and Microengineering, Tissue Engineering, Biomaterials, SLAS DISCOVERY and IEEE Journal of Solid-State Circuits.
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.