Maya Rocha‐Ortega

770 total citations
36 papers, 416 citations indexed

About

Maya Rocha‐Ortega is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Maya Rocha‐Ortega has authored 36 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 17 papers in Ecology, Evolution, Behavior and Systematics and 14 papers in Nature and Landscape Conservation. Recurrent topics in Maya Rocha‐Ortega's work include Plant and animal studies (16 papers), Insect and Arachnid Ecology and Behavior (15 papers) and Ecology and Vegetation Dynamics Studies (14 papers). Maya Rocha‐Ortega is often cited by papers focused on Plant and animal studies (16 papers), Insect and Arachnid Ecology and Behavior (15 papers) and Ecology and Vegetation Dynamics Studies (14 papers). Maya Rocha‐Ortega collaborates with scholars based in Mexico, United States and Argentina. Maya Rocha‐Ortega's co-authors include Alex Córdoba‐Aguilar, Pilar Rodríguez, Jason T. Bried, Mario E. Favila, Gabriela Castaño‐Meneses, John C. Abbott, Ana E. Gutiérrez‐Cabrera, José Domingos Ribeiro‐Neto, Miguel Martínez‐Ramos and Paz Marı́a Salazar-Schettino and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Maya Rocha‐Ortega

33 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Rocha‐Ortega Mexico 12 166 157 148 135 121 36 416
Igor Berkunsky Argentina 13 132 0.8× 129 0.8× 370 2.5× 231 1.7× 47 0.4× 66 557
Josué Raizer Brazil 14 336 2.0× 49 0.3× 94 0.6× 167 1.2× 199 1.6× 43 571
J. Sebastián Tello United States 14 245 1.5× 196 1.2× 248 1.7× 268 2.0× 55 0.5× 26 554
Anderson V. Chaves Brazil 11 108 0.7× 70 0.4× 117 0.8× 81 0.6× 78 0.6× 18 395
Mahmoud S. Abdel-Dayem Saudi Arabia 12 211 1.3× 44 0.3× 44 0.3× 57 0.4× 112 0.9× 49 396
Sylvain J M Desmoulière Brazil 7 98 0.6× 69 0.4× 164 1.1× 152 1.1× 25 0.2× 8 424
José F. Gómez Spain 12 318 1.9× 367 2.3× 313 2.1× 262 1.9× 127 1.0× 32 680
Jenny Urbina United States 12 117 0.7× 105 0.7× 107 0.7× 95 0.7× 45 0.4× 20 372
Olivier Missa United Kingdom 9 212 1.3× 112 0.7× 106 0.7× 187 1.4× 79 0.7× 11 403
Jeffrey A. Klemens United States 5 153 0.9× 43 0.3× 130 0.9× 86 0.6× 88 0.7× 10 374

Countries citing papers authored by Maya Rocha‐Ortega

Since Specialization
Citations

This map shows the geographic impact of Maya Rocha‐Ortega'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 Maya Rocha‐Ortega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Rocha‐Ortega more than expected).

Fields of papers citing papers by Maya Rocha‐Ortega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Rocha‐Ortega. 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 Maya Rocha‐Ortega. The network helps show where Maya Rocha‐Ortega may publish in the future.

Co-authorship network of co-authors of Maya Rocha‐Ortega

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Rocha‐Ortega. A scholar is included among the top collaborators of Maya Rocha‐Ortega 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 Maya Rocha‐Ortega. Maya Rocha‐Ortega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rocha‐Ortega, Maya, et al.. (2024). Merging socioecological variables to predict risk of Chagas disease. Acta Tropica. 251. 107098–107098. 1 indexed citations
2.
Rocha‐Ortega, Maya, et al.. (2024). Vector mosquito distribution and richness are predicted by socio-economic, and ecological variables. Acta Tropica. 254. 107179–107179. 5 indexed citations
3.
Bried, Jason T. & Maya Rocha‐Ortega. (2023). Using range size to augment regional priority listing of charismatic insects. Biological Conservation. 283. 110098–110098. 1 indexed citations
4.
Mahdjoub, Hayat, Valeria Ramírez‐Castañeda, Daniel González‐Tokman, et al.. (2023). Benefits and geography of international collaboration for PhD students in biology from four global south countries. Frontiers in Education. 8. 4 indexed citations
5.
Rocha‐Ortega, Maya, et al.. (2023). New insights into the geographic patterns of functional role and taxonomic richness of ants from Mexico. Journal of Insect Conservation. 27(1). 49–57. 3 indexed citations
6.
Rocha‐Ortega, Maya, et al.. (2023). Copulatory courtship, body temperature and infection in Tenebrio molitor. PLoS ONE. 18(9). e0291384–e0291384.
7.
Rocha‐Ortega, Maya, et al.. (2023). From the forest to the city: the persistence of dragonflies and damselflies in the urban jungle. Biodiversity and Conservation. 33(1). 91–113. 3 indexed citations
8.
Rocha‐Ortega, Maya, et al.. (2023). Is body condition of Mexican rubyspot (Odonata:Zygoptera) associated with urbanization?. Journal of Insect Conservation. 27(6). 961–969.
9.
Rocha‐Ortega, Maya, et al.. (2022). Modeling Mosquitoes and their Potential Odonate Predators Under Different Land Uses. EcoHealth. 19(3). 417–426. 2 indexed citations
10.
Rocha‐Ortega, Maya, et al.. (2022). When is a male too hot? Fitness outcomes when mating with high temperature, sick males. Journal of Thermal Biology. 105. 103222–103222. 3 indexed citations
11.
Rocha‐Ortega, Maya, et al.. (2021). Feeding and condition shifts after encountering a pathogen. Behaviour. 158(8-9). 757–780.
12.
Córdoba‐Aguilar, Alex, et al.. (2021). Adult damselflies as possible regulators of mosquito populations in urban areas. Pest Management Science. 77(10). 4274–4287. 6 indexed citations
13.
Rocha‐Ortega, Maya, Pilar Rodríguez, & Alex Córdoba‐Aguilar. (2021). Geographical, temporal and taxonomic biases in insect GBIF data on biodiversity and extinction. Ecological Entomology. 46(4). 718–728. 55 indexed citations
14.
Rocha‐Ortega, Maya, et al.. (2020). Mutual mate choice and its benefits for both sexes. Scientific Reports. 10(1). 19492–19492. 6 indexed citations
15.
Rocha‐Ortega, Maya, Pilar Rodríguez, & Alex Córdoba‐Aguilar. (2019). Can dragonfly and damselfly communities be used as bioindicators of land use intensification?. Ecological Indicators. 107. 105553–105553. 24 indexed citations
16.
Córdoba‐Aguilar, Alex & Maya Rocha‐Ortega. (2019). Damselfly (Odonata: Calopterygidae) Population Decline in an Urbanizing Watershed. Journal of Insect Science. 19(3). 21 indexed citations
17.
Villalobos, Guiehdani, Herón Huerta, Fernando Martínez‐Hernández, et al.. (2019). A reduction in ecological niche for Trypanosoma cruzi-infected triatomine bugs. Parasites & Vectors. 12(1). 240–240. 20 indexed citations
18.
Rocha‐Ortega, Maya, et al.. (2019). The larger the damselfly, the more likely to be threatened: a sexual selection approach. Journal of Insect Conservation. 23(3). 535–545. 16 indexed citations
19.
Salazar-Schettino, Paz Marı́a, et al.. (2019). The cost of being a killer’s accomplice: Trypanosoma cruzi impairs the fitness of kissing bugs. Parasitology Research. 118(9). 2523–2529. 35 indexed citations
20.
Rocha‐Ortega, Maya & Mario E. Favila. (2013). The recovery of ground ant diversity in secondary Lacandon tropical forests. Journal of Insect Conservation. 17(6). 1161–1167. 12 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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