Thiago Mastrangelo

695 total citations
37 papers, 452 citations indexed

About

Thiago Mastrangelo is a scholar working on Insect Science, Plant Science and Molecular Biology. According to data from OpenAlex, Thiago Mastrangelo has authored 37 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Insect Science, 23 papers in Plant Science and 10 papers in Molecular Biology. Recurrent topics in Thiago Mastrangelo's work include Insect behavior and control techniques (25 papers), Insect Pest Control Strategies (17 papers) and Insect-Plant Interactions and Control (10 papers). Thiago Mastrangelo is often cited by papers focused on Insect behavior and control techniques (25 papers), Insect Pest Control Strategies (17 papers) and Insect-Plant Interactions and Control (10 papers). Thiago Mastrangelo collaborates with scholars based in Brazil, Austria and Puerto Rico. Thiago Mastrangelo's co-authors include Márcio Alves Silva, Ana Maria Lima de Azeredo‐Espin, John J. Welch, Daniel F. Paulo, Clíssia Barboza da Silva, Júlio Marcos Melges Walder, José Djair Vendramim, Andrew Parker, Dina Orozco‐Dávila and E. G. F. de Morais and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Plant Science.

In The Last Decade

Thiago Mastrangelo

34 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thiago Mastrangelo Brazil 12 325 189 136 65 49 37 452
Wee L. Yee United States 15 572 1.8× 200 1.1× 62 0.5× 111 1.7× 297 6.1× 57 654
Kyriaki Varikou Greece 13 354 1.1× 282 1.5× 68 0.5× 160 2.5× 39 0.8× 35 467
Naymã Pinto Dias Brazil 13 333 1.0× 261 1.4× 311 2.3× 48 0.7× 58 1.2× 25 574
Laurent Folcher France 10 228 0.7× 263 1.4× 87 0.6× 116 1.8× 61 1.2× 19 433
P. Northing United Kingdom 13 418 1.3× 355 1.9× 164 1.2× 52 0.8× 26 0.5× 26 500
M. G. Tommasini Italy 8 554 1.7× 365 1.9× 140 1.0× 192 3.0× 59 1.2× 21 658
J.-P. Christidès France 12 198 0.6× 193 1.0× 67 0.5× 314 4.8× 45 0.9× 13 527
L. F. Blackburn United Kingdom 12 407 1.3× 300 1.6× 94 0.7× 68 1.0× 49 1.0× 16 466
Aude Couty France 16 460 1.4× 366 1.9× 153 1.1× 134 2.1× 44 0.9× 38 589
Roxana L. Minuz Italy 8 195 0.6× 92 0.5× 97 0.7× 86 1.3× 26 0.5× 15 313

Countries citing papers authored by Thiago Mastrangelo

Since Specialization
Citations

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

Fields of papers citing papers by Thiago Mastrangelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thiago Mastrangelo

This figure shows the co-authorship network connecting the top 25 collaborators of Thiago Mastrangelo. A scholar is included among the top collaborators of Thiago Mastrangelo 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 Thiago Mastrangelo. Thiago Mastrangelo 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.
Paulo, Daniel F., et al.. (2025). Genetic consequences of domestication and refreshment on colonies of the South American fruit fly. Insect Science. 32(5). 1557–1574.
2.
3.
Mastrangelo, Thiago, et al.. (2024). Accurate identification of Helicoverpa armigera–Helicoverpa zea hybrids using genome admixture analysis: implications for genomic surveillance. Frontiers in Insect Science. 4. 1339143–1339143. 1 indexed citations
4.
Silva, Clíssia Barboza da, et al.. (2023). Automatic classification of parasitized fruit fly pupae from X-ray images by convolutional neural networks. Ecological Informatics. 78. 102382–102382. 6 indexed citations
5.
Corazón-Guivin, Mike Anderson, et al.. (2023). Gamma Irradiation of Plukenetia volubilis L. Seeds Promotes Several Changes during Its Germination and Vegetative Growth. Advances in Agriculture. 2023. 1–11. 1 indexed citations
6.
Medeiros, André Dantas de, et al.. (2023). Fungal identification in peanuts seeds through multispectral images: Technological advances to enhance sanitary quality. Frontiers in Plant Science. 14. 1112916–1112916. 7 indexed citations
7.
Bernardes, Rodrigo Cupertino, André Dantas de Medeiros, Laércio Junio da Silva, et al.. (2022). Deep-Learning Approach for Fusarium Head Blight Detection in Wheat Seeds Using Low-Cost Imaging Technology. Agriculture. 12(11). 1801–1801. 20 indexed citations
8.
Mastrangelo, Thiago, et al.. (2020). Cafeteria-Type Feeding of Chickens Indicates a Preference for Insect (Tenebrio molitor) Larvae Meal. Animals. 10(4). 627–627. 11 indexed citations
9.
Mastrangelo, Thiago, et al.. (2019). Quality control and characterization of the testicles and ovaries of irradiated Anastrepha obliqua from Brazil. Scientia Agricola. 77(1). 4 indexed citations
10.
Kovaleski, Adalécio, et al.. (2018). Can stable isotope markers be used to distinguish wild and mass-reared Anastrepha fraterculus flies?. PLoS ONE. 13(12). e0209921–e0209921. 3 indexed citations
11.
Mastrangelo, Thiago, et al.. (2018). Optimization of the sterilizing doses and overflooding ratios for the South American fruit fly. PLoS ONE. 13(7). e0201026–e0201026. 27 indexed citations
12.
Fresia, Pablo, Micha Silver, Thiago Mastrangelo, Ana Maria Lima de Azeredo‐Espin, & Mariana L. Lyra. (2014). Applying spatial analysis of genetic and environmental data to predict connection corridors to the New World screwworm populations in South America. Acta Tropica. 138. S34–S41. 10 indexed citations
13.
Mastrangelo, Thiago, et al.. (2014). Genetic diversity and population structure of the New World screwworm fly from the Amazon region of Brazil. Acta Tropica. 138. S26–S33. 9 indexed citations
14.
Silva, Márcio Alves, et al.. (2013). Neem Derivatives Are Not Effective as Toxic Bait for Tephritid Fruit Flies. Journal of Economic Entomology. 106(4). 1772–1779. 8 indexed citations
15.
Mastrangelo, Thiago, M. F. B. Chaudhury, S. Skoda, et al.. (2012). Feasibility of Using a Caribbean Screwworm for SIT Campaigns in Brazil. Journal of Medical Entomology. 49(6). 1495–1501. 10 indexed citations
16.
Silva, Márcio Alves, et al.. (2011). Toxic effects of neem seed cake on the larval-pupal (prepupal) stage of Mediterranean fruit fly (Diptera: Tephritidae). Fruits. 66(5). 363–369. 13 indexed citations
17.
Mastrangelo, Thiago, et al.. (2010). Potential use of larval diet disposal from Medfly mass-rearing as alternative livestock feed. Livestock research for rural development. 22(3). 358. 3 indexed citations
18.
Mastrangelo, Thiago, Andrew Parker, Andrew J. Jessup, et al.. (2010). A New Generation of X Ray Irradiators for Insect Sterilization. Journal of Economic Entomology. 103(1). 85–94. 64 indexed citations
19.
Silva, Weliton D., Valter Arthur, & Thiago Mastrangelo. (2010). Response of oriental fruit moth, Grapholita molesta (Busck) (Lepidoptera: Tortricidae), eggs to gamma radiation. Radiation Physics and Chemistry. 79(10). 1063–1066.
20.
Walder, Júlio Marcos Melges, et al.. (2006). Mango resistance to Fruit Flies. II resistance of the Alfa c ultivar. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 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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