Deborah Huber
Impact in
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- Microfluidic and Bio-sensing Technologies
- 3D Printing in Biomedical Research
- Microfluidic and Capillary Electrophoresis Applications
- Innovative Microfluidic and Catalytic Techniques Innovation
Papers in
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- Advanced biosensing and bioanalysis techniques 4
- Gene expression and cancer classification 3
- Advanced Biosensing Techniques and Applications 2
- Single-cell and spatial transcriptomics 1
- Molecular Biology Techniques and Applications 1
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- Microfluidic and Bio-sensing Technologies 2
- Biosensors and Analytical Detection 1
- Co-authors
- Govind V. Kaigala (6 shared papers)Lena Voith von Voithenberg (2 shared papers)Andrew J. deMello (1 shared paper)Ali Oskooei (1 shared paper)Xavier Casadevall i Solvas (1 shared paper)Julien Autebert (1 shared paper)Peter Schraml (1 shared paper)Anna Fomitcheva Khartchenko (1 shared paper)
- Journals
- Biomicrofluidics (1 paper)Nucleic Acids Research (1 paper)Biomedical Microdevices (1 paper)Chemical Reviews (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- SwitzerlandIsrael
In The Last Decade
Deborah Huber
6 papers receiving 288 citations
Peers
Comparison fields: 5 of 85
- Biomedical Engineering 127
- Biophysics 16
- Molecular Biology 124
- Cancer Research 27
- Cell Biology 20
Countries citing papers authored by Deborah Huber
This map shows the geographic impact of Deborah Huber'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 Deborah Huber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Huber more than expected).
Fields of papers citing papers by Deborah Huber
This network shows the impact of papers produced by Deborah Huber. 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 Deborah Huber. The network helps show where Deborah Huber may publish in the future.
Co-authors
The 9 scholars most cited alongside Deborah Huber, 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 | 2018 | 124 | |
| 2 | 2018 | 95 | |
| 3 | 2019 | 24 | |
| 4 | 2016 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2018 | 13 |
About Deborah Huber
Deborah Huber is a scholar working on Molecular Biology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Genetics and Electrical and Electronic Engineering, having authored 6 papers that have together received 289 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Gene expression and cancer classification (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Single-cell and spatial transcriptomics (1 paper), Biosensors and Analytical Detection (1 paper), Molecular Biology Techniques and Applications (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Biomedical Engineering (127 citations), Biophysics (16 citations), Molecular Biology (124 citations), Cancer Research (27 citations) and Cell Biology (20 citations). Deborah Huber has collaborated with scholars based in Switzerland and Israel. Frequent co-authors include Govind V. Kaigala, Lena Voith von Voithenberg, Andrew J. deMello, Ali Oskooei, Xavier Casadevall i Solvas, Julien Autebert, Peter Schraml, Anna Fomitcheva Khartchenko and Moran Bercovici. Their work appears in journals such as Biomicrofluidics, Nucleic Acids Research, Biomedical Microdevices, Chemical Reviews and Analytical Chemistry.
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.