Ângelo Pires do Prado

965 total citations
58 papers, 707 citations indexed

About

Ângelo Pires do Prado is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Ângelo Pires do Prado has authored 58 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Insect Science, 23 papers in Ecology, Evolution, Behavior and Systematics and 15 papers in Plant Science. Recurrent topics in Ângelo Pires do Prado's work include Insect behavior and control techniques (25 papers), Forensic Entomology and Diptera Studies (22 papers) and Insect and Pesticide Research (18 papers). Ângelo Pires do Prado is often cited by papers focused on Insect behavior and control techniques (25 papers), Forensic Entomology and Diptera Studies (22 papers) and Insect and Pesticide Research (18 papers). Ângelo Pires do Prado collaborates with scholars based in Brazil, United States and Czechia. Ângelo Pires do Prado's co-authors include Nelson Papavero, José Henrique Guimarães, Rodrigo Augusto Santinelo Pereira, Aloísio José Antunes, Cláudio Casanova, Mara Cristina Pinto, Christopher J. Geden, Cecília Lomônaco, Maria Teresa Macoris Andrighetti and Celso Eduardo de Souza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Animal Behaviour and Oikos.

In The Last Decade

Ângelo Pires do Prado

55 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ângelo Pires do Prado Brazil 15 500 237 169 92 87 58 707
Rubens Pinto de Mello Brazil 17 502 1.0× 197 0.8× 127 0.8× 257 2.8× 69 0.8× 48 790
Rodrigo Ferreira Krüger Brazil 13 346 0.7× 174 0.7× 73 0.4× 58 0.6× 98 1.1× 58 519
Júlio Mendes Brazil 15 366 0.7× 145 0.6× 82 0.5× 91 1.0× 31 0.4× 38 566
J. Freise Germany 10 225 0.5× 261 1.1× 81 0.5× 44 0.5× 53 0.6× 24 466
Bret M. Boyd United States 14 402 0.8× 162 0.7× 108 0.6× 81 0.9× 168 1.9× 27 668
W. C. Welbourn United States 15 510 1.0× 566 2.4× 218 1.3× 34 0.4× 176 2.0× 34 818
Flore Zélé France 13 401 0.8× 129 0.5× 50 0.3× 137 1.5× 85 1.0× 25 557
R. Ochoa United States 15 424 0.8× 384 1.6× 190 1.1× 19 0.2× 80 0.9× 76 670
JR Stevens United Kingdom 10 373 0.7× 111 0.5× 89 0.5× 62 0.7× 38 0.4× 11 558
Donald L. Baumgartner United States 8 470 0.9× 229 1.0× 78 0.5× 34 0.4× 41 0.5× 10 557

Countries citing papers authored by Ângelo Pires do Prado

Since Specialization
Citations

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

Fields of papers citing papers by Ângelo Pires do Prado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ângelo Pires do Prado. 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 Ângelo Pires do Prado. The network helps show where Ângelo Pires do Prado may publish in the future.

Co-authorship network of co-authors of Ângelo Pires do Prado

This figure shows the co-authorship network connecting the top 25 collaborators of Ângelo Pires do Prado. A scholar is included among the top collaborators of Ângelo Pires do Prado 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 Ângelo Pires do Prado. Ângelo Pires do Prado 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.
Uchôa-Fernandes, Manoel A., et al.. (2017). New records of fruit trees as host for Neosilba species (Diptera, Lonchaeidae) in southeast Brazil. Biota Neopropica. 17(1). 11 indexed citations
2.
Sanches, Gustavo Seron, Marcos Rogério André, Ângelo Pires do Prado, et al.. (2014). Oocyte maturation in the sloth’s giant tick Amblyomma varium (Acari: Ixodidae) in an ecological context. Experimental and Applied Acarology. 64(4). 519–531. 8 indexed citations
3.
Casanova, Cláudio, et al.. (2013). Larval Breeding Sites of Lutzomyia longipalpis (Diptera: Psychodidae) in Visceral Leishmaniasis Endemic Urban Areas in Southeastern Brazil. PLoS neglected tropical diseases. 7(9). e2443–e2443. 42 indexed citations
4.
Prado, Ângelo Pires do, et al.. (2013). Aspectos da biologia e morfologia de machos da mosca-dos-brotos (Diptera: Lonchaeidae). SHILAP Revista de lepidopterología. 80(4). 416–423. 2 indexed citations
5.
Oliveira, Celso Henrique de, et al.. (2012). Characterization of mites in sofa dust samples for homes in Campinas, southeast Brazil. Revista de Ciências Médicas. 12(4). 1 indexed citations
6.
Lopes, Alberto Jorge Oliveira, et al.. (2012). Parasitism by <I>Ixodiphagus</I> Wasps (Hymenoptera: Encyrtidae) in <I>Rhipicephalus sanguineus</I> and <I>Amblyomma</I> Ticks (Acari: Ixodidae) in Three Regions of Brazil. Journal of Economic Entomology. 105(6). 1979–1981. 7 indexed citations
7.
Perri, Silvia, et al.. (2010). Porcentagem de eclosão de ovos de Haematobia irritans (L.) (Diptera : Muscidae) em laboratório = Egg hatch percentage of Haematobia irritans (L.) (Diptera: muscidae) in laboratory. Bioscience Journal. 26(3). 1 indexed citations
8.
Perri, Silvia, et al.. (2009). Efeito do tratamento em dose única ou múltipla com ivermectina na emergência de Haematobia irritans (L.) (Diptera: Muscidae). 16(2). 410–418. 1 indexed citations
9.
Pereira, Rodrigo Augusto Santinelo, José Lino‐Neto, & Ângelo Pires do Prado. (2008). Sperm morphology: A novel way to associate female-males of highly sexual dimorphic fig wasp species. Symbiosis. 45. 143–147. 9 indexed citations
10.
Almeida‐Neto, Mário, et al.. (2008). New host-plant records for neotropical agromyzids (Diptera: Agromyzidae) from Asteraceae flower heads. Neotropical Entomology. 37(1). 97–99. 8 indexed citations
11.
12.
Lopes, Welber Daniel Zanetti, et al.. (2007). Artrópodes associados ao excremento de aves poedeiras. Neotropical Entomology. 36(4). 597–604. 5 indexed citations
13.
Oliveira, Celso Henrique de, et al.. (2003). Comparison of house dust mites found on different mattress surfaces. Annals of Allergy Asthma & Immunology. 91(6). 559–562. 12 indexed citations
14.
15.
Oliveira, Celso Henrique de, et al.. (1999). Fauna acarina da poeira de colchoes na cidade de Campinas - SP. 22(6). 188–197. 5 indexed citations
16.
Marchiori, Carlos Henrique & Ângelo Pires do Prado. (1999). Tabelas de vida de Fannia pusio (Wied.) (Diptera: Fanniidae). Anais da Sociedade Entomológica do Brasil. 28(3). 557–563. 4 indexed citations
17.
Rocha, Eduardo Melani, et al.. (1999). Massive Orbital Myiasis Infestation. Archives of Ophthalmology. 117(10). 1436–1436. 11 indexed citations
18.
Marchiori, Carlos Henrique & Ângelo Pires do Prado. (1995). Longevidade e fecundidade de Fannia pusio (Wiedemann, 1830) (Diptera: Fanniidae) em laboratorio. Revista Brasileira de Biologia. 55(4). 571–575. 5 indexed citations
19.
Lomônaco, Cecília & Ângelo Pires do Prado. (1994). Morfometria de Musca domestica L. de granjas de galinhas poedeiras. Anais da Sociedade Entomológica do Brasil. 23(2). 171–178. 2 indexed citations
20.
Antunes, Aloísio José, et al.. (1991). Growth of Chrysomya putoria blowfly larvae in relation to dietary casein concentration. Medical and Veterinary Entomology. 5(1). 139–142. 3 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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