Mayté Ruiz
Impact in
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- Animal Behavior and Reproduction
- Plant and animal studies
- Genetics top 10%
- Genetic diversity and population structure
- Lepidoptera: Biology and Taxonomy
- Insect and Arachnid Ecology and Behavior
Papers in
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- Animal Behavior and Reproduction 5
- Plant and animal studies 4
- Genetics 4
- Genetic diversity and population structure 2
- Estrogen and related hormone effects 1
- Insect and Arachnid Ecology and Behavior 1
- Lepidoptera: Biology and Taxonomy 1
- Co-authors
- Emı́lia P. Martins (4 shared papers)W. Owen McMillan (3 shared papers)Riccardo Papa (3 shared papers)Gregory E. Demas (2 shared papers)Susannah S. French (1 shared paper)Chris D. Jiggins (2 shared papers)Brian A. Counterman (2 shared papers)Alexie Papanicolaou (2 shared papers)
- Journals
- BMC Genomics (1 paper)Hormones and Behavior (1 paper)Genome Research (1 paper)Contraception (1 paper)Herpetologica (1 paper)
- Partner nations
- United StatesPuerto RicoPanama
In The Last Decade
Mayté Ruiz
8 papers receiving 381 citations
Peers
Comparison fields: 5 of 52
- Ecology, Evolution, Behavior and Systematics 212
- Genetics 229
- Ecological Modeling 15
- Insect Science 40
- Nature and Landscape Conservation 30
Countries citing papers authored by Mayté Ruiz
This map shows the geographic impact of Mayté Ruiz'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 Mayté Ruiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayté Ruiz more than expected).
Fields of papers citing papers by Mayté Ruiz
This network shows the impact of papers produced by Mayté Ruiz. 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 Mayté Ruiz. The network helps show where Mayté Ruiz may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayté Ruiz, 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 | 132 | |
| 2 | 2014 | 90 | |
| 3 | 2009 | 69 | |
| 4 | 2012 | 46 | |
| 5 | 2008 | 18 | |
| 6 | 1973 | 13 | |
| 7 | Trade-offs between reproductive coloration and innate immunity in a natural population of female sagebrush lizards, Sceloporus graciosus. | 2011 | 9 |
| 8 | 2010 | 6 |
About Mayté Ruiz
Mayté Ruiz is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Global and Planetary Change, Molecular Biology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 383 indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (5 papers), Amphibian and Reptile Biology (4 papers), Plant and animal studies (4 papers), Genetic diversity and population structure (2 papers), Plant Molecular Biology Research (1 paper), Estrogen and related hormone effects (1 paper), Insect and Arachnid Ecology and Behavior (1 paper) and Lepidoptera: Biology and Taxonomy (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (212 citations), Genetics (229 citations), Ecological Modeling (15 citations), Insect Science (40 citations) and Nature and Landscape Conservation (30 citations). Mayté Ruiz has collaborated with scholars based in United States, Puerto Rico and Panama. Frequent co-authors include Emı́lia P. Martins, W. Owen McMillan, Riccardo Papa, Gregory E. Demas, Susannah S. French, Chris D. Jiggins, Brian A. Counterman, Alexie Papanicolaou, Heather M. Hines and Nicola J. Nadeau. Their work appears in journals such as BMC Genomics, Hormones and Behavior, Genome Research, Contraception and Herpetologica.
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.