Tamara Matúte
Impact in
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- Cell Image Analysis Techniques
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- Biosensors and Analytical Detection
Papers in
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- Gene Regulatory Network Analysis 3
- Advanced biosensing and bioanalysis techniques 3
- Microbial Metabolic Engineering and Bioproduction 2
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 1
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- Biosensors and Analytical Detection 3
- Co-authors
- Fernán Federici (8 shared papers)Isaac Núñez (7 shared papers)Timothy J. Rudge (4 shared papers)Juan E. Keymer (1 shared paper)Timothy Marzullo (1 shared paper)Aníbal Arce (4 shared papers)Anton Kan (2 shared papers)Jim Haseloff (2 shared papers)
- Journals
- ACS Synthetic Biology (2 papers)Viruses (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Journal of Biomolecular Techniques JBT (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChileUnited StatesUnited Kingdom
In The Last Decade
Tamara Matúte
7 papers receiving 209 citations
Peers
Comparison fields: 5 of 63
- Biophysics 23
- Biomedical Engineering 81
- Molecular Biology 120
- Infectious Diseases 25
- Renewable Energy, Sustainability and the Environment 17
Countries citing papers authored by Tamara Matúte
This map shows the geographic impact of Tamara Matúte'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 Tamara Matúte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Matúte more than expected).
Fields of papers citing papers by Tamara Matúte
This network shows the impact of papers produced by Tamara Matúte. 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 Tamara Matúte. The network helps show where Tamara Matúte may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Matúte, 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 | 2017 | 68 | |
| 2 | 2020 | 43 | |
| 3 | 2021 | 31 | |
| 4 | 2016 | 22 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2024 | 0 |
About Tamara Matúte
Tamara Matúte is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Mechanical Engineering and Ecology, having authored 8 papers that have together received 210 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (3 papers), Gene Regulatory Network Analysis (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), SARS-CoV-2 detection and testing (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Modular Robots and Swarm Intelligence (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Biophysics (23 citations), Biomedical Engineering (81 citations), Molecular Biology (120 citations), Infectious Diseases (25 citations) and Renewable Energy, Sustainability and the Environment (17 citations). Tamara Matúte has collaborated with scholars based in Chile, United States and United Kingdom. Frequent co-authors include Fernán Federici, Isaac Núñez, Timothy J. Rudge, Juan E. Keymer, Timothy Marzullo, Aníbal Arce, Anton Kan, Jim Haseloff, Chiara Gandini and Constanza López. Their work appears in journals such as ACS Synthetic Biology, Viruses, Frontiers in Bioengineering and Biotechnology, Journal of Biomolecular Techniques JBT and PLoS ONE.
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.