Vilmar Machado

401 total citations
28 papers, 303 citations indexed

About

Vilmar Machado is a scholar working on Insect Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Vilmar Machado has authored 28 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Insect Science, 10 papers in Molecular Biology and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Vilmar Machado's work include Insect Resistance and Genetics (10 papers), Insect-Plant Interactions and Control (6 papers) and Insect and Arachnid Ecology and Behavior (5 papers). Vilmar Machado is often cited by papers focused on Insect Resistance and Genetics (10 papers), Insect-Plant Interactions and Control (6 papers) and Insect and Arachnid Ecology and Behavior (5 papers). Vilmar Machado collaborates with scholars based in Brazil, Spain and United States. Vilmar Machado's co-authors include Lídia Mariana Fiuza, J. D. López, Pierre Silvie, Rod Nagoshi, Robert L. Meagher, Aldo Mellender de‏ Araújo, José Galián, Rodney N. Nagoshi, E. A. Heinrichs and Neiva Knaak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and BMC Genomics.

In The Last Decade

Vilmar Machado

27 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vilmar Machado Brazil 10 176 164 122 69 43 28 303
Yongmo Wang China 11 246 1.4× 184 1.1× 236 1.9× 69 1.0× 41 1.0× 29 393
José Manuel Michelena Spain 8 338 1.9× 103 0.6× 139 1.1× 143 2.1× 83 1.9× 17 453
Ahad Sahragard Iran 10 284 1.6× 69 0.4× 202 1.7× 92 1.3× 21 0.5× 47 345
John R. Leeper United States 6 248 1.4× 140 0.9× 164 1.3× 64 0.9× 22 0.5× 16 333
Astrid Bryon Netherlands 9 221 1.3× 203 1.2× 97 0.8× 55 0.8× 38 0.9× 10 373
Kelly V. Tindall United States 14 404 2.3× 210 1.3× 280 2.3× 149 2.2× 25 0.6× 44 524
Shou‐Horng Huang Taiwan 11 280 1.6× 112 0.7× 229 1.9× 55 0.8× 23 0.5× 25 360
Lílian Madi-Ravazzi Brazil 9 245 1.4× 155 0.9× 109 0.9× 119 1.7× 71 1.7× 21 371
Bishwo P. Mainali Australia 13 418 2.4× 82 0.5× 249 2.0× 181 2.6× 49 1.1× 48 499
María Laura Juárez Argentina 11 452 2.6× 375 2.3× 235 1.9× 79 1.1× 81 1.9× 21 588

Countries citing papers authored by Vilmar Machado

Since Specialization
Citations

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

Fields of papers citing papers by Vilmar Machado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vilmar Machado

This figure shows the co-authorship network connecting the top 25 collaborators of Vilmar Machado. A scholar is included among the top collaborators of Vilmar Machado 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 Vilmar Machado. Vilmar Machado 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.
Sánchez‐García, Francisco Javier, Vilmar Machado, José Galián, & Diego Gallego. (2017). Application of the Eco-field and General Theory of Resources to Bark Beetles: Beyond the Niche Construction Theory. Biosemiotics. 10(1). 57–73. 7 indexed citations
3.
Valiati, Victor Hugo, et al.. (2016). Diversity of culturable Gram-negative bacteria isolated from irrigation water of two rice crop regions in Southern Brazil. Environmental Monitoring and Assessment. 188(6). 359–359. 4 indexed citations
4.
Machado, Vilmar, et al.. (2016). Characterisation and expression analysis of UBC9 and UBS27 genes in developing gonads of cicindelids (Coleoptera: Cicindelidae). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 202. 75–82. 1 indexed citations
5.
6.
Machado, Vilmar, et al.. (2014). RNA Interference: A new Strategy in the Evolutionary Arms Race Between Human Control Strategies and Insect Pests. Folia Biologica. 62(4). 335–343. 3 indexed citations
7.
Machado, Vilmar, et al.. (2013). BACILLUS THURINGIENSIS: MOLECULAR CHARACTERIZATION, ULTRASTRUCTURAL AND NEMATOXICITY TO MELOIDOGYNE SP... Journal of Biopesticides. 6(2). 120–128. 4 indexed citations
8.
Machado, Vilmar, et al.. (2012). Microbiological and physical–chemical water quality of the rice fields in Sinos River’s basin, Southern Brazil. Environmental Monitoring and Assessment. 185(3). 2767–2775. 9 indexed citations
9.
Machado, Vilmar, et al.. (2012). Qualidade microbiológica da água da cultura do arroz irrigado, no sul do Brasil. Neotropical Biology and Conservation. 7(1).
11.
Machado, Vilmar & Lídia Mariana Fiuza. (2011). MANEJO DA RESISTÊNCIA: NA ERA DAS PLANTAS TRANSGÊNICAS. Oecologia Australis. 15(2). 291–302. 2 indexed citations
12.
Heinrichs, E. A., et al.. (2011). Diversity and abundance of arthropods in subtropical rice growing areas in the Brazilian south. Biodiversity and Conservation. 20(10). 2211–2224. 19 indexed citations
13.
Nagoshi, Rod, Pierre Silvie, Robert L. Meagher, J. D. López, & Vilmar Machado. (2007). Identification and Comparison of Fall Armyworm (Lepidoptera: Noctuidae) Host Strains in Brazil, Texas, and Florida. Annals of the Entomological Society of America. 100(3). 394–402. 89 indexed citations
14.
Machado, Vilmar & Victor Hugo Valiati. (2006). Analysis of the geographical variation of elytral color polymorphisms in three species of soldier beetles, Chauliognathus Hentz (Cantharidae) in southern Brazil. SHILAP Revista de lepidopterología. 23(4). 1051–1058. 2 indexed citations
16.
Machado, Vilmar, Aldo Mellender de‏ Araújo, José Serrano, & José Galián. (2004). Phylogenetic relationships and the evolution of mimicry in the Chauliognathus yellow-black species complex (Coleoptera: Cantharidae) inferred from mitochondrial COI sequences. Genetics and Molecular Biology. 27(1). 55–60. 8 indexed citations
17.
Machado, Vilmar & Aldo Mellender de‏ Araújo. (2003). Elytra colour polymorphism and randomness of matings in Chauliognathus fallax Germar 1824 from southern Brazil (Coleoptera, Cantharidae). Revista Brasileira de Entomologia. 47(3). 409–413. 5 indexed citations
18.
Machado, Vilmar & Aldo Mellender de‏ Araújo. (2001). The aggregation of Chauliognathus species (Coleoptera, Cantharidae) and its possible role for coexistence and mimicry. Iheringia Série Zoologia. 29–32. 4 indexed citations
19.
Machado, Vilmar, et al.. (2000). Estudo morfologico do edeago das especies de Chauliognathus Hentz, 1830 (Coleoptera, Cantharidae) do complexo "Amarelo-preto". 22(2). 193–203. 2 indexed citations
20.
Machado, Vilmar & Aldo Mellender de‏ Araújo. (1999). Color polymorphism in Chauliognathus flavipes Fabricius (Coleoptera, Cantharidae): II. Patterns of emergence of morphs and mating system. SHILAP Revista de lepidopterología. 16(2). 441–446. 7 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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