Mayté Ruiz

562 total citations
8 papers, 383 citations indexed

About

Mayté Ruiz is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Global and Planetary Change. According to data from OpenAlex, Mayté Ruiz has authored 8 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Genetics and 4 papers in Global and Planetary Change. Recurrent topics in Mayté Ruiz's work include Animal Behavior and Reproduction (5 papers), Amphibian and Reptile Biology (4 papers) and Plant and animal studies (4 papers). Mayté Ruiz is often cited by papers focused on Animal Behavior and Reproduction (5 papers), Amphibian and Reptile Biology (4 papers) and Plant and animal studies (4 papers). Mayté Ruiz collaborates with scholars based in United States, Puerto Rico and Panama. Mayté Ruiz's co-authors include Emı́lia P. Martins, Riccardo Papa, W. Owen McMillan, Gregory E. Demas, Susannah S. French, Brian A. Counterman, Chris D. Jiggins, Alexie Papanicolaou, Heather M. Hines and Humberto Ortiz‐Zuazaga and has published in prestigious journals such as Genome Research, BMC Genomics and Hormones and Behavior.

In The Last Decade

Mayté Ruiz

8 papers receiving 381 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mayté Ruiz United States 7 229 212 77 56 46 8 383
Francisca C. Almeida United States 10 144 0.6× 118 0.6× 82 1.1× 111 2.0× 26 0.6× 22 385
Laura Hebberecht United Kingdom 8 152 0.7× 152 0.7× 37 0.5× 84 1.5× 22 0.5× 14 350
Christopher H. Chandler United States 14 217 0.9× 103 0.5× 171 2.2× 74 1.3× 61 1.3× 21 500
Jason Hill Sweden 9 210 0.9× 99 0.5× 149 1.9× 64 1.1× 35 0.8× 14 379
Lindsay Farrell United Kingdom 7 313 1.4× 202 1.0× 80 1.0× 76 1.4× 22 0.5× 13 480
Eva Líznarová Czechia 12 267 1.2× 201 0.9× 42 0.5× 110 2.0× 32 0.7× 31 452
Juanita Rodríguez Australia 14 419 1.8× 375 1.8× 103 1.3× 53 0.9× 70 1.5× 45 678
Neda Barghi United States 11 401 1.8× 151 0.7× 228 3.0× 129 2.3× 31 0.7× 16 680
Amanda A. Pierce United States 10 296 1.3× 268 1.3× 56 0.7× 115 2.1× 22 0.5× 16 492
Rachel Tucker United Kingdom 9 99 0.4× 121 0.6× 69 0.9× 97 1.7× 24 0.5× 14 334

Countries citing papers authored by Mayté Ruiz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mayté Ruiz

This figure shows the co-authorship network connecting the top 25 collaborators of Mayté Ruiz. A scholar is included among the top collaborators of Mayté Ruiz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mayté Ruiz. Mayté Ruiz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Belleghem, Steven M. Van, Pasi Rastas, Alexie Papanicolaou, et al.. (2017). Complex modular architecture around a simple toolkit of wing pattern genes. Nature Ecology & Evolution. 1(3). 52–52. 132 indexed citations
2.
Nadeau, Nicola J., Mayté Ruiz, Patricio A. Salazar, et al.. (2014). Population genomics of parallel hybrid zones in the mimetic butterflies, H. melpomene and H. erato. Genome Research. 24(8). 1316–1333. 90 indexed citations
3.
Hines, Heather M., Riccardo Papa, Mayté Ruiz, et al.. (2012). Transcriptome analysis reveals novel patterning and pigmentation genes underlying Heliconius butterfly wing pattern variation. BMC Genomics. 13(1). 288–288. 46 indexed citations
4.
Ruiz, Mayté, et al.. (2011). Trade-offs between reproductive coloration and innate immunity in a natural population of female sagebrush lizards, Sceloporus graciosus.. PubMed. 21(2). 131–134. 9 indexed citations
5.
Ruiz, Mayté, et al.. (2010). Male Sagebrush Lizards (Sceloporus graciosus) Increase Exploratory Behavior Toward Females with More Courtship Experience. Herpetologica. 66(2). 142–147. 6 indexed citations
6.
Ruiz, Mayté, Susannah S. French, Gregory E. Demas, & Emı́lia P. Martins. (2009). Food supplementation and testosterone interact to influence reproductive behavior and immune function in Sceloporus graciosus. Hormones and Behavior. 57(2). 134–139. 69 indexed citations
7.
Ruiz, Mayté, et al.. (2008). Courtship attention in sagebrush lizards varies with male identity and female reproductive state. Behavioral Ecology. 19(6). 1326–1332. 18 indexed citations
8.
Gual, Carlos García, Gregorio Pérez‐Palacios, Aleida Pérez, et al.. (1973). Metabolic fate of a long-acting injectable estrogen-progestogen contraceptive 1,2. Contraception. 7(4). 271–287. 13 indexed citations

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.

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