Maité Masciocchi

61 total papers · 852 total citations
43 papers, 632 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 632 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, Franck Müller, Claire Villemant, Eckehard G. Brockerhoff, Marc Kenis, Quentin Rome, Paula Sackmann, José M. Villacide and Victoria Lantschner 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 622 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maité Masciocchi 470 441 425 106 53 43 632
Nalini Puniamoorthy 483 1.0× 268 0.6× 330 0.8× 218 2.1× 44 0.8× 42 777
Antonella Soro 565 1.2× 460 1.0× 395 0.9× 99 0.9× 55 1.0× 27 685
James T. Vogt 354 0.8× 410 0.9× 260 0.6× 106 1.0× 51 1.0× 54 584
Stanislav Korenko 405 0.9× 299 0.7× 348 0.8× 98 0.9× 29 0.5× 42 640
Alexandre P. Aguiar 493 1.0× 187 0.4× 208 0.5× 73 0.7× 33 0.6× 55 563
Gary Dodson 457 1.0× 211 0.5× 321 0.8× 169 1.6× 45 0.8× 31 633
A. S. Menke 572 1.2× 297 0.7× 190 0.4× 86 0.8× 41 0.8× 51 620
Bernardo F. Santos 442 0.9× 233 0.5× 240 0.6× 82 0.8× 31 0.6× 58 567
Matthias Nuß 408 0.9× 347 0.8× 244 0.6× 67 0.6× 40 0.8× 41 589
Kelly A. Meiklejohn 294 0.6× 350 0.8× 224 0.5× 205 1.9× 43 0.8× 39 779

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

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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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2026