Rita Mateus
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Developmental Biology and Gene Regulation 5
- Wnt/β-catenin signaling in development and cancer 3
- Cancer-related gene regulation 2
- Planarian Biology and Electrostimulation 2
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- Hippo pathway signaling and YAP/TAZ 4
- Zebrafish Biomedical Research Applications 4
- Co-authors
- Chung Yan Cheung (2 shared papers)David Kokel (2 shared papers)Randall T. Peterson (2 shared papers)Brian K. Shoichet (1 shared paper)Rick White (1 shared paper)Jennifer Bryan (1 shared paper)Christian Laggner (1 shared paper)David Healey (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Nature Chemical Biology (2 papers)PLoS ONE (2 papers)Seminars in Cell and Developmental Biology (1 paper)Small Methods (1 paper)
- Partner nations
- GermanyPortugalUnited States
In The Last Decade
Rita Mateus
16 papers receiving 757 citations
Peers
Comparison fields: 5 of 102
- Cell Biology 450
- Aging 13
- Health, Toxicology and Mutagenesis 97
- Cellular and Molecular Neuroscience 114
- Molecular Biology 394
Countries citing papers authored by Rita Mateus
This map shows the geographic impact of Rita Mateus'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 Rita Mateus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Mateus more than expected).
Fields of papers citing papers by Rita Mateus
This network shows the impact of papers produced by Rita Mateus. 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 Rita Mateus. The network helps show where Rita Mateus may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita Mateus, 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 | 401 | |
| 2 | 2013 | 91 | |
| 3 | 2015 | 45 | |
| 4 | 2012 | 40 | |
| 5 | 2020 | 35 | |
| 6 | 2015 | 31 | |
| 7 | 2019 | 29 | |
| 8 | 2004 | 19 | |
| 9 | 2015 | 15 | |
| 10 | 2024 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2015 | 12 | |
| 13 | 2017 | 9 | |
| 14 | 2016 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2014 | 4 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Rita Mateus
Rita Mateus is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 770 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Zebrafish Biomedical Research Applications (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Cancer-related gene regulation (2 papers), Planarian Biology and Electrostimulation (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Cell Biology (450 citations), Aging (13 citations), Health, Toxicology and Mutagenesis (97 citations), Cellular and Molecular Neuroscience (114 citations) and Molecular Biology (394 citations). Rita Mateus has collaborated with scholars based in Germany, Portugal and United States. Frequent co-authors include Chung Yan Cheung, David Kokel, Randall T. Peterson, Brian K. Shoichet, Rick White, Jennifer Bryan, Christian Laggner, David Healey, Andreas A. Werdich and Sonia Kim. Their work appears in journals such as Journal of Cell Science, Nature Chemical Biology, PLoS ONE, Seminars in Cell and Developmental Biology and Small Methods.
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.