Daniela Cruz
Impact in
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- Gold and Silver Nanoparticles Synthesis and Applications
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- Biosensors and Analytical Detection
- Plasmonic and Surface Plasmon Research
- Microfluidic and Bio-sensing Technologies
Papers in
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- Microfluidic and Capillary Electrophoresis Applications 3
- Microfluidic and Bio-sensing Technologies 2
- Biosensors and Analytical Detection 2
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- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Ashutosh Chilkoti (3 shared papers)Maiken H. Mikkelsen (3 shared papers)Gabriel P. López (4 shared papers)Benjamin B. Yellen (3 shared papers)C. Wyatt Shields (3 shared papers)Cassio M. Fontes (2 shared papers)Angus Hucknall (2 shared papers)Patrick Charbonneau (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Advanced Materials (2 papers)Nano Letters (1 paper)Science Translational Medicine (1 paper)Soft Matter (1 paper)
- Partner nations
- United StatesChinaChile
In The Last Decade
Daniela Cruz
11 papers receiving 273 citations
Peers
Comparison fields: 5 of 68
- Electronic, Optical and Magnetic Materials 73
- Biomedical Engineering 146
- Condensed Matter Physics 22
- Molecular Biology 111
- Materials Chemistry 71
Countries citing papers authored by Daniela Cruz
This map shows the geographic impact of Daniela Cruz'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 Daniela Cruz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Cruz more than expected).
Fields of papers citing papers by Daniela Cruz
This network shows the impact of papers produced by Daniela Cruz. 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 Daniela Cruz. The network helps show where Daniela Cruz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Cruz, 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 | 2022 | 124 | |
| 2 | 2020 | 35 | |
| 3 | 2017 | 29 | |
| 4 | 2015 | 28 | |
| 5 | 2021 | 24 | |
| 6 | 2016 | 11 | |
| 7 | 2020 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2014 | 6 | |
| 10 | 2020 | 3 | |
| 11 | 2016 | 2 |
About Daniela Cruz
Daniela Cruz is a scholar working on Biomedical Engineering, Molecular Biology, Pharmacology, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 11 papers that have together received 275 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Pickering emulsions and particle stabilization (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Biosensors and Analytical Detection (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Electrostatics and Colloid Interactions (1 paper) and Electrowetting and Microfluidic Technologies (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (73 citations), Biomedical Engineering (146 citations), Condensed Matter Physics (22 citations), Molecular Biology (111 citations) and Materials Chemistry (71 citations). Daniela Cruz has collaborated with scholars based in United States, China and Chile. Frequent co-authors include Ashutosh Chilkoti, Maiken H. Mikkelsen, Gabriel P. López, Benjamin B. Yellen, C. Wyatt Shields, Cassio M. Fontes, Angus Hucknall, Patrick Charbonneau, Jiani Huang and Lin Fu. Their work appears in journals such as Journal of Visualized Experiments, Advanced Materials, Nano Letters, Science Translational Medicine and Soft Matter.
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.