Maicon Nardino

1.7k total citations
139 papers, 1.1k citations indexed

About

Maicon Nardino is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Maicon Nardino has authored 139 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Plant Science, 60 papers in Agronomy and Crop Science and 28 papers in Soil Science. Recurrent topics in Maicon Nardino's work include Genetics and Plant Breeding (80 papers), Crop Yield and Soil Fertility (57 papers) and Growth and nutrition in plants (34 papers). Maicon Nardino is often cited by papers focused on Genetics and Plant Breeding (80 papers), Crop Yield and Soil Fertility (57 papers) and Growth and nutrition in plants (34 papers). Maicon Nardino collaborates with scholars based in Brazil, United States and Argentina. Maicon Nardino's co-authors include Tiago Olivoto, Velci Queiróz de Souza, Ivan Ricardo Carvalho, Vinícius Jardel Szareski, Alan Júnior de Pelegrin, Diego Nicolau Follmann, Gustavo Henrique Demari, Luciano Carlos da Maia, Antônio Costa de Oliveira and Denise Schmidt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Maicon Nardino

124 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maicon Nardino Brazil 16 995 333 181 132 66 139 1.1k
L. J. M. Guimarães Brazil 18 905 0.9× 303 0.9× 302 1.7× 83 0.6× 47 0.7× 66 1.0k
Blaine G. Schatz United States 17 712 0.7× 343 1.0× 80 0.4× 160 1.2× 52 0.8× 39 953
Anna Iannucci Italy 18 800 0.8× 347 1.0× 59 0.3× 116 0.9× 65 1.0× 46 1.0k
Rameswar Prasad Sah India 15 683 0.7× 162 0.5× 171 0.9× 65 0.5× 47 0.7× 77 826
Jacob Mashilo South Africa 18 896 0.9× 205 0.6× 342 1.9× 57 0.4× 108 1.6× 91 1.1k
Renzo Garcia Von Pinho Brazil 20 1.3k 1.3× 559 1.7× 342 1.9× 342 2.6× 25 0.4× 163 1.5k
Rosalind Bueckert Canada 20 961 1.0× 265 0.8× 50 0.3× 111 0.8× 49 0.7× 50 1.1k
Ndiaga Cissé Senegal 28 2.1k 2.1× 341 1.0× 248 1.4× 86 0.7× 82 1.2× 81 2.3k
Massimo Palumbo Italy 10 599 0.6× 232 0.7× 100 0.6× 42 0.3× 49 0.7× 13 717
Jefferson Luís Meirelles Coimbra Brazil 14 652 0.7× 115 0.3× 50 0.3× 107 0.8× 36 0.5× 122 745

Countries citing papers authored by Maicon Nardino

Since Specialization
Citations

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

Fields of papers citing papers by Maicon Nardino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maicon Nardino

This figure shows the co-authorship network connecting the top 25 collaborators of Maicon Nardino. A scholar is included among the top collaborators of Maicon Nardino 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 Maicon Nardino. Maicon Nardino 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.
Nardino, Maicon, et al.. (2025). Combining ability in F1 and F2 generations of wheat. Ciência Rural. 55(6).
2.
Dias, Denise Cunha Fernandes dos Santos, et al.. (2024). Wheat genotypes selection via multi-trait for abiotic stresses. Ciência Rural. 54(11). 1 indexed citations
3.
Nardino, Maicon, et al.. (2024). Modeling spatial trends and selecting tropical wheat genotypes in multi-environment trials. Crop Breeding and Applied Biotechnology. 24(2).
4.
Diel, Maria Inês, et al.. (2023). Experimental plan for oilseed flax in multi-environment trials. European Journal of Agronomy. 151. 126989–126989. 1 indexed citations
5.
Lúcio, Alessandro Dal’Cól, et al.. (2023). Experimental Plan for Oilseed Flax in Multi-Environment Trials. SSRN Electronic Journal.
6.
Nardino, Maicon, et al.. (2023). Multi-trait selection of wheat lines under drought-stress condition. Bragantia. 82. 7 indexed citations
7.
Olivoto, Tiago & Maicon Nardino. (2020). MGIDI: toward an effective multivariate selection in biological experiments. Bioinformatics. 37(10). 1383–1389. 172 indexed citations
8.
Nardino, Maicon, Willian Silva Barros, Tiago Olivoto, et al.. (2020). Multivariate diallel analysis by factor analysis for establish mega-traits. Anais da Academia Brasileira de Ciências. 92(suppl 1). e20180874–e20180874. 12 indexed citations
9.
Nardino, Maicon, Ivan Ricardo Carvalho, Alan Júnior de Pelegrin, et al.. (2019). Heterosis and genetic distance in intervarietal corn hybrids. Pesquisa Agropecuária Brasileira. 54. 2 indexed citations
10.
Carvalho, Ivan Ricardo, et al.. (2018). Heterosis and genetics parameters for yield and nutritional components in half-sibling maize progenies. Genetics and Molecular Research. 17(1). 5 indexed citations
11.
Carvalho, Ivan Ricardo, et al.. (2017). DESEMPENHO FISIOLÓGICO DA SOJA COM REGULAÇÃO HÍDRICA POR MANITOL. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Nardino, Maicon, Velci Queiróz de Souza, Diego Nicolau Follmann, et al.. (2017). REML/BLUP PARA ESTIMATIVA DOS COMPONENTES DE VARIÂNCIA E VALORES GENOTÍPICOS EM GENÓTIPOS DE TRIGO. Global Science and Technology. 9(3). 1 indexed citations
13.
Szareski, Vinícius Jardel, Maicon Nardino, Ivan Ricardo Carvalho, et al.. (2016). Effect of temperature on bean seed germination: vigor and isozyme expression. 1. 6 indexed citations
14.
Carvalho, Ivan Ricardo, Velci Queiróz de Souza, Maicon Nardino, Tiago Olivoto, & Denise Schmidt. (2016). Crescimento de pepineiro híbrido japonês submetido à variação de temperatura e luminosidade Japanese hybrid cucumber growth subjected to variation of temperature and luminosity. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 12(2). 615–628.
15.
Carvalho, Ivan Ricardo, et al.. (2015). Efeitos fisiológicos atribuídos ao teste de frio e adição de reguladores vegetais em híbridos de milho. Scientia Plena. 11(3). 1 indexed citations
16.
Souza, Velci Queiróz de, et al.. (2015). Defoliation and its effects on morphological and productive traits in maize hybrids.. Revista Brasileira de Milho e Sorgo. 14(1). 61–74. 2 indexed citations
17.
Nardino, Maicon, et al.. (2015). Desfolha artificial em estádios vegetativos e suas implicações a cultura da soja. MAGISTRA. 27(2). 199–207. 1 indexed citations
18.
Demari, Gustavo Henrique, et al.. (2015). FEIJÃO EM ÉPOCA NÃO PREFERENCIAL SUBMETIDO A DOSES DE NITROGÊNIO E SEU IMPACTO NOS CARACTERES AGRONÔMICOS. Enciclopédia Biosfera. 11(21). 1 indexed citations
19.
Nardino, Maicon, et al.. (2013). Características morfológicas e componentes de rendimento da soja submetida à adubação nitrogenada. SHILAP Revista de lepidopterología. 5 indexed citations
20.
Nardino, Maicon, et al.. (2013). Morphological traits and soybean yield components subjected to nitrogen fertilization.. 6(21). 281–288. 2 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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