Maité Masciocchi

864 total citations
43 papers, 638 citations indexed

About

Maité Masciocchi is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Genetics. According to data from OpenAlex, Maité Masciocchi has authored 43 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ecology, Evolution, Behavior and Systematics, 30 papers in Insect Science and 29 papers in Genetics. Recurrent topics in Maité Masciocchi's work include Plant and animal studies (31 papers), Insect and Arachnid Ecology and Behavior (29 papers) and Insect and Pesticide Research (25 papers). Maité Masciocchi is often cited by papers focused on Plant and animal studies (31 papers), Insect and Arachnid Ecology and Behavior (29 papers) and Insect and Pesticide Research (25 papers). Maité Masciocchi collaborates with scholars based in Argentina, New Zealand and United Kingdom. Maité Masciocchi's co-authors include Juan C. Corley, Jacqueline R. Beggs, Eckehard G. Brockerhoff, Franck Müller, Claire Villemant, Quentin Rome, Marc Kenis, Paula Sackmann, José M. Villacide and Alejandro G. Farji‐Brener and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Maité Masciocchi

39 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maité Masciocchi Argentina 12 472 442 427 107 54 43 638
Matthew J. Hall United Kingdom 9 224 0.5× 217 0.5× 242 0.6× 248 2.3× 40 0.7× 18 597
Magdi S. El-Hawagry Egypt 11 309 0.7× 132 0.3× 207 0.5× 51 0.5× 33 0.6× 50 388
Björn Cederberg Sweden 13 643 1.4× 448 1.0× 492 1.2× 33 0.3× 66 1.2× 21 719
Maurizio Mei Italy 10 319 0.7× 130 0.3× 131 0.3× 136 1.3× 89 1.6× 37 424
Magally Torres-Leguizamon France 8 222 0.5× 181 0.4× 221 0.5× 109 1.0× 29 0.5× 10 383
Jostein Gohli Norway 12 152 0.3× 143 0.3× 128 0.3× 264 2.5× 18 0.3× 24 489
Josué Raizer Brazil 14 336 0.7× 199 0.5× 202 0.5× 94 0.9× 167 3.1× 43 571
Sasha C. Voss Australia 14 164 0.3× 213 0.5× 565 1.3× 160 1.5× 17 0.3× 30 679
Carl Stenoien United States 8 252 0.5× 124 0.3× 120 0.3× 73 0.7× 85 1.6× 12 374
Sofia G. Seabra Portugal 14 243 0.5× 154 0.3× 165 0.4× 131 1.2× 103 1.9× 45 517

Countries citing papers authored by Maité Masciocchi

Since Specialization
Citations

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

Fields of papers citing papers by Maité Masciocchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maité Masciocchi. 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 Maité Masciocchi. The network helps show where Maité Masciocchi may publish in the future.

Co-authorship network of co-authors of Maité Masciocchi

This figure shows the co-authorship network connecting the top 25 collaborators of Maité Masciocchi. A scholar is included among the top collaborators of Maité Masciocchi 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 Maité Masciocchi. Maité Masciocchi 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.
Germano, Mónica Daniela, et al.. (2025). Understanding key population drivers of the spotted wing Drosophila in cultivated and natural areas in the Andes. Scientific Reports. 15(1). 6208–6208. 1 indexed citations
2.
Chillo, Verónica, et al.. (2025). The incidence of cultural practices for managing Drosophila suzukii in raspberry farms: a case study from northwestern Patagonia. Agroecology and Sustainable Food Systems. 49(8). 1243–1254.
3.
Corley, Juan C., et al.. (2024). Worker trapping: a sustainable management tool for invasive social wasps?. International Journal of Pest Management. 72(1). 97–104. 1 indexed citations
4.
Corley, Juan C., et al.. (2024). Chemotactile perception and associative learning of amino acids in yellowjacket workers. Journal of Experimental Biology. 228(1).
5.
Capece, Umberto, Teresa Mezza, Alfredo Cesario, et al.. (2024). Real-world evidence evaluation of LDL-C in hospitalized patients: a population-based observational study in the timeframe 2021–2022. Lipids in Health and Disease. 23(1). 224–224. 2 indexed citations
6.
Masciocchi, Maité, et al.. (2024). Advancing social insect research through the development of an automated yellowjacket nest activity monitoring station using deep learning. Agricultural and Forest Entomology. 27(1). 111–123.
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Masciocchi, Maité, et al.. (2023). Allee effects in an invasive social wasp: an experimental study in colonies of Vespula germanica. Scientific Reports. 13(1). 16323–16323. 1 indexed citations
10.
Villacide, José M., et al.. (2023). Flight capabilities of invasive yellowjacket Vespula germanica drones: the effect of kinship and nutrition. Entomologia Experimentalis et Applicata. 172(1). 50–57. 1 indexed citations
11.
Masciocchi, Maité, et al.. (2023). Gustatory responsiveness in Vespula germanica workers: exploring the interplay between sensory perception and task specialization. Insect Science. 31(2). 587–598. 3 indexed citations
12.
Masciocchi, Maité, et al.. (2023). Sugar responsiveness could determine foraging patterns in yellowjackets. Scientific Reports. 13(1). 20448–20448. 1 indexed citations
13.
Segala, Francesco Vladimiro, Pia Clara Pafundi, Maité Masciocchi, et al.. (2023). Incidence of bloodstream infections due to multidrug-resistant pathogens in ordinary wards and intensive care units before and during the COVID-19 pandemic: a real-life, retrospective observational study. Infection. 51(4). 1061–1069. 18 indexed citations
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Corley, Juan C., et al.. (2020). Nest-departure behaviour of gynes and drones in the invasive yellowjacket Vespula germanica (Hymenoptera: Vespidae). Bulletin of Entomological Research. 111(2). 174–181. 8 indexed citations
16.
Lester, Philip J., Peter Bösch, Monica A. M. Gruber, et al.. (2015). No Evidence of Enemy Release in Pathogen and Microbial Communities of Common Wasps (Vespula vulgaris) in Their Native and Introduced Range. PLoS ONE. 10(3). e0121358–e0121358. 28 indexed citations
17.
Masciocchi, Maité, et al.. (2013). Field preferences of the Social Wasp Vespula germanica (Hymenoptera: Vespidae) for Protein-rich Baits. Journal of Insect Behavior. 26(5). 730–739. 16 indexed citations
18.
Masciocchi, Maité & Juan C. Corley. (2012). Distribution, dispersal and spread of the invasive social wasp (Vespula germanica) in Argentina. Austral Ecology. 38(2). 162–168. 48 indexed citations
19.
Beggs, Jacqueline R., Eckehard G. Brockerhoff, Juan C. Corley, et al.. (2011). Ecological effects and management of invasive alien Vespidae. BioControl. 56(4). 505–526. 257 indexed citations
20.
Masciocchi, Maité, Jacqueline R. Beggs, James M. Carpenter, & Juan C. Corley. (2010). Primer registro de Vespula vulgaris (Hymenoptera: Vespidae) en la Argentina. SHILAP Revista de lepidopterología. 17 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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