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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- Advanced biosensing and bioanalysis techniques 3
- Gene Regulatory Network Analysis 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Microbial Metabolic Engineering and Bioproduction 1
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- Biosensors and Analytical Detection 3
- Slime Mold and Myxomycetes Research 1
- Co-authors
- Fernán Federici (7 shared papers)Isaac Núñez (6 shared papers)Timothy J. Rudge (3 shared papers)Timothy Marzullo (1 shared paper)Juan E. Keymer (1 shared paper)Anton Kan (2 shared papers)Jim Haseloff (2 shared papers)Vincent A. Bielinski (1 shared paper)
- Journals
- ACS Synthetic Biology (2 papers)Journal of Biomolecular Techniques JBT (1 paper)PLoS ONE (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Viruses (1 paper)
- Partner nations
- ChileUnited StatesUnited Kingdom
In The Last Decade
Tamara Matúte
7 papers receiving 193 citations
Peers
Comparison fields: 5 of 64
- Biophysics 22
- Biomedical Engineering 79
- Molecular Biology 120
- Infectious Diseases 27
- Renewable Energy, Sustainability and the Environment 18
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 | 65 | |
| 2 | 2020 | 40 | |
| 3 | 2021 | 27 | |
| 4 | 2016 | 21 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 9 |
About Tamara Matúte
Tamara Matúte is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Mechanical Engineering and Ecology, having authored 7 papers that have together received 194 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), Biosensors and Analytical Detection (3 papers), Modular Robots and Swarm Intelligence (2 papers), SARS-CoV-2 detection and testing (2 papers), Gene Regulatory Network Analysis (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Slime Mold and Myxomycetes Research (1 paper). The work is most often cited by research in Biophysics (22 citations), Biomedical Engineering (79 citations), Molecular Biology (120 citations), Infectious Diseases (27 citations) and Renewable Energy, Sustainability and the Environment (18 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, Timothy Marzullo, Juan E. Keymer, Anton Kan, Jim Haseloff, Vincent A. Bielinski, Peter von Dassow and Christopher L. Dupont. Their work appears in journals such as ACS Synthetic Biology, Journal of Biomolecular Techniques JBT, PLoS ONE, Frontiers in Bioengineering and Biotechnology and Viruses.
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.