Márcio Balestre

726 total citations
47 papers, 545 citations indexed

About

Márcio Balestre is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Márcio Balestre has authored 47 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 34 papers in Genetics and 5 papers in Agronomy and Crop Science. Recurrent topics in Márcio Balestre's work include Genetics and Plant Breeding (40 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and Genetic and phenotypic traits in livestock (26 papers). Márcio Balestre is often cited by papers focused on Genetics and Plant Breeding (40 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and Genetic and phenotypic traits in livestock (26 papers). Márcio Balestre collaborates with scholars based in Brazil, Mozambique and United States. Márcio Balestre's co-authors include Renzo Garcia Von Pinho, José Camisão de Souza, J. Santos, João Cândido de Souza, João Bosco dos Santos, Cláudio Lopes de Souza, Renato Ribeiro de Lima, Júlio Sílvio de Sousa Bueno Filho, Heloísa Oliveira dos Santos and Juarez Campolina Machado and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Theoretical and Applied Genetics.

In The Last Decade

Márcio Balestre

45 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Márcio Balestre Brazil 15 481 268 100 28 18 47 545
C. G. McLaren Philippines 8 394 0.8× 158 0.6× 56 0.6× 33 1.2× 8 0.4× 15 437
B. J. Read Australia 15 537 1.1× 165 0.6× 56 0.6× 49 1.8× 7 0.4× 23 562
Paul Schmidt Germany 7 216 0.4× 89 0.3× 35 0.3× 26 0.9× 2 0.1× 12 264
Tiberio Chiari Italy 7 338 0.7× 91 0.3× 108 1.1× 29 1.0× 2 0.1× 8 365
Silvério de Paiva Freitas Júnior Brazil 13 403 0.8× 152 0.6× 75 0.8× 33 1.2× 23 417
Albert W. Schulthess Germany 15 722 1.5× 434 1.6× 129 1.3× 50 1.8× 36 776
Ali Dadkhodaie Iran 14 503 1.0× 91 0.3× 107 1.1× 97 3.5× 1 0.1× 48 542
DJ Luckett Australia 10 368 0.8× 24 0.1× 146 1.5× 125 4.5× 4 0.2× 21 405
Mian Abdur Rehman Arif Pakistan 17 542 1.1× 140 0.5× 114 1.1× 66 2.4× 45 572
Elisa Serra Negra Vieira Brazil 10 279 0.6× 60 0.2× 37 0.4× 65 2.3× 2 0.1× 52 319

Countries citing papers authored by Márcio Balestre

Since Specialization
Citations

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

Fields of papers citing papers by Márcio Balestre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Márcio Balestre

This figure shows the co-authorship network connecting the top 25 collaborators of Márcio Balestre. A scholar is included among the top collaborators of Márcio Balestre 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 Márcio Balestre. Márcio Balestre 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.
Lima, Renato Ribeiro de, et al.. (2019). Bayesian factor analytic model: An approach in multiple environment trials. PLoS ONE. 14(8). e0220290–e0220290. 11 indexed citations
2.
Balestre, Márcio, et al.. (2019). Functional models in genome-wide selection. PLoS ONE. 14(10). e0222699–e0222699. 3 indexed citations
3.
Pinho, Renzo Garcia Von, et al.. (2019). INFLUÊNCIA DE FORMAS DE ADUBAÇÃO DE SEMEADURA NA PRODUTIVIDADE DE GRÃOS DE HÍBRIDOS DE MILHO. Revista Brasileira de Milho e Sorgo. 18(1). 88–98. 2 indexed citations
4.
Balestre, Márcio, et al.. (2018). Combining Ability and Heterosis of Maize Genotypes under Water Stress during Seed Germination and Seedling Emergence. Crop Science. 59(1). 33–43. 18 indexed citations
5.
Pinho, Renzo Garcia Von, et al.. (2017). Genomic analysis of maize lines introduced in the early stages of a breeding programme. Plant Breeding. 136(6). 845–860. 4 indexed citations
6.
Balestre, Márcio, et al.. (2017). QTLs of morpho-agronomic traits in the Jalo x Small White common bean population. Genetics and Molecular Research. 16(3). 1 indexed citations
7.
Santos, J., et al.. (2017). Assessing non-additive effects in GBLUP model. Genetics and Molecular Research. 16(2). 1 indexed citations
8.
Costa, Adriano Carvalho, et al.. (2017). Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data. Scientia Agricola. 74(6). 443–449. 7 indexed citations
9.
Santos, J., et al.. (2016). Genomic selection to resistance to Stenocarpella maydis in maize lines using DArTseq markers. BMC Genetics. 17(1). 86–86. 39 indexed citations
10.
Balestre, Márcio, et al.. (2016). Bayesian GGE biplot models applied to maize multi-environments trials. Genetics and Molecular Research. 15(2). 19 indexed citations
11.
Pinho, Renzo Garcia Von, et al.. (2016). Genomic breeding value prediction for simple maize hybrid yield using total effects of associated markers, under different imbalance levels and environments. Genetics and Molecular Research. 15(1). 15017232–15017232. 3 indexed citations
12.
Lima, Renato Ribeiro de, et al.. (2015). Factor analysis using mixed models of multi-environment trials with different levels of unbalancing. Genetics and Molecular Research. 14(4). 14262–14278. 21 indexed citations
13.
Santos, J., et al.. (2015). Genome-wide prediction of maize single-cross performance, considering non-additive genetic effects. Genetics and Molecular Research. 14(4). 18471–18484. 5 indexed citations
14.
Balestre, Márcio, et al.. (2015). A new method of QTL identification for undersaturated maps. Genetics and Molecular Research. 14(3). 11462–11479. 3 indexed citations
15.
Santos, João Bosco dos, et al.. (2014). Identification of QTLs for Resistance toSclerotinia sclerotiorumin Carioca Common Bean by theMoving AwayMethod. SHILAP Revista de lepidopterología. 2014. 1–7. 8 indexed citations
16.
Pinho, Renzo Garcia Von, et al.. (2013). Controle químico da Cercosporiose, Mancha-Branca e dos Grãos Ardidos em milho. Revista CERES. 60(5). 629–635. 11 indexed citations
17.
Balestre, Márcio, et al.. (2012). Bayesian inference to study genetic control of resistance to gray leaf spot in maize. Genetics and Molecular Research. 11(1). 17–29. 7 indexed citations
18.
Pinho, Renzo Garcia Von, et al.. (2010). Prediction of maize hybrid performance using similarity in state and similarity by descent information. Genetics and Molecular Research. 9(4). 2381–2394. 4 indexed citations
19.
Balestre, Márcio, et al.. (2009). Genotypic stability and adaptability in tropical maize based on AMMI and GGE biplot analysis. Genetics and Molecular Research. 8(4). 1311–1322. 52 indexed citations
20.
Balestre, Márcio, et al.. (2008). Comparison of maize similarity and dissimilarity genetic coefficients based on microsatellite markers. Genetics and Molecular Research. 7(3). 695–705. 35 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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