Rodrigo Gazaffi

1.3k total citations
35 papers, 592 citations indexed

About

Rodrigo Gazaffi is a scholar working on Plant Science, Genetics and Biomedical Engineering. According to data from OpenAlex, Rodrigo Gazaffi has authored 35 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 7 papers in Genetics and 7 papers in Biomedical Engineering. Recurrent topics in Rodrigo Gazaffi's work include Sugarcane Cultivation and Processing (16 papers), Genetics and Plant Breeding (10 papers) and Biofuel production and bioconversion (7 papers). Rodrigo Gazaffi is often cited by papers focused on Sugarcane Cultivation and Processing (16 papers), Genetics and Plant Breeding (10 papers) and Biofuel production and bioconversion (7 papers). Rodrigo Gazaffi collaborates with scholars based in Brazil, France and United States. Rodrigo Gazaffi's co-authors include Antônio Augusto Franco Garcia, Anete Pereira de Souza, Hermann Paulo Hoffmann, Gabriel Rodrigues Alves Margarido, Marcelo Mollinari, Thiago Willian Almeida Balsalobre, Monalisa Sampaio Carneiro, Maria Marta Pastina, Mariângela Cristofani–Yaly and Marcos Antônio Machado and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Plant Science.

In The Last Decade

Rodrigo Gazaffi

34 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rodrigo Gazaffi Brazil 13 506 131 116 112 83 35 592
Zuhu Deng China 16 550 1.1× 177 1.4× 61 0.5× 148 1.3× 113 1.4× 54 614
Jérôme Pauquet France 9 634 1.3× 144 1.1× 103 0.9× 156 1.4× 68 0.8× 12 685
Ravinder Kumar India 15 525 1.0× 117 0.9× 35 0.3× 107 1.0× 104 1.3× 69 603
A. Selvi India 16 764 1.5× 345 2.6× 79 0.7× 147 1.3× 262 3.2× 35 828
A. Dookun Mauritius 9 415 0.8× 115 0.9× 39 0.3× 86 0.8× 64 0.8× 17 453
Guilherme da Silva Pereira Brazil 13 429 0.8× 50 0.4× 143 1.2× 79 0.7× 41 0.5× 32 515
Thiago G. Marconi United States 13 464 0.9× 199 1.5× 47 0.4× 58 0.5× 143 1.7× 22 522
G. Hemaprabha India 14 658 1.3× 149 1.1× 62 0.5× 119 1.1× 245 3.0× 76 707
Maximiller Dal-Bianco Brazil 13 563 1.1× 119 0.9× 26 0.2× 200 1.8× 52 0.6× 38 684
L. Grivet France 11 849 1.7× 523 4.0× 68 0.6× 138 1.2× 230 2.8× 11 887

Countries citing papers authored by Rodrigo Gazaffi

Since Specialization
Citations

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

Fields of papers citing papers by Rodrigo Gazaffi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodrigo Gazaffi

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Gazaffi. A scholar is included among the top collaborators of Rodrigo Gazaffi 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 Rodrigo Gazaffi. Rodrigo Gazaffi 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.
Hoffmann, Hermann Paulo, José Bressiani, Rodrigo Gazaffi, et al.. (2021). History and Current Status of Sugarcane Breeding, Germplasm Development and Molecular Genetics in Brazil. Sugar Tech. 24(1). 112–133. 72 indexed citations
2.
Balsalobre, Thiago Willian Almeida, Roberto Giacomini Chapola, Antônio Augusto Franco Garcia, et al.. (2021). Genetic Variability, Correlation among Agronomic Traits, and Genetic Progress in a Sugarcane Diversity Panel. Agriculture. 11(6). 533–533. 12 indexed citations
3.
Gazaffi, Rodrigo, et al.. (2021). Novel Tools for Adjusting Spatial Variability in the Early Sugarcane Breeding Stage. Frontiers in Plant Science. 12. 749533–749533. 10 indexed citations
4.
Cox, M. C., et al.. (2020). Comparison of different selection methods in the seedling stage of sugarcane breeding. Agronomy Journal. 112(6). 4879–4897. 4 indexed citations
5.
Carneiro, Monalisa Sampaio, Rodrigo Gazaffi, Regina Tomoko Shirasuna, et al.. (2020). Assessment of Gene Flow to Wild Relatives and Nutritional Composition of Sugarcane in Brazil. Frontiers in Bioengineering and Biotechnology. 8. 598–598. 8 indexed citations
6.
Soares, Márcio Roberto, et al.. (2019). Vegetative Development and Nutrient Absorption March of Sorrel (Rumex acetosa L.). Journal of Agricultural Science. 11(4). 262–262.
7.
Gazaffi, Rodrigo, et al.. (2019). EFFECTS OF SHADE TREE SPATIAL DISTRIBUTION AND SPECIES ON PHOTOSYNTHETIC RATE OF COFFEE TREES. Coffee Science. 14(3). 326–326. 1 indexed citations
8.
Rosa, João Ricardo Bachega Feijó, Camila Campos Mantello, Dominique Garcia, et al.. (2018). QTL detection for growth and latex production in a full-sib rubber tree population cultivated under suboptimal climate conditions. BMC Plant Biology. 18(1). 223–223. 17 indexed citations
9.
Gazaffi, Rodrigo, et al.. (2018). Volume of cells on trays influences hydroponic lettuce production. Horticultura Brasileira. 36(3). 408–413. 4 indexed citations
10.
Cardoso, Jean Carlos, et al.. (2018). ÁGUA DE REÚSO NO CULTIVO DE GLADÍOLO EM SISTEMA HIDROPÔNICO. Irriga. 23(2). 286–297. 1 indexed citations
11.
Gazaffi, Rodrigo, et al.. (2017). High-density linkage maps for Citrus sunki and Poncirus trifoliata using DArTseq markers. Tree Genetics & Genomes. 14(1). 16 indexed citations
12.
Cristofani–Yaly, Mariângela, et al.. (2017). QTL mapping for fruit quality in Citrus using DArTseq markers. BMC Genomics. 18(1). 289–289. 40 indexed citations
13.
Balsalobre, Thiago Willian Almeida, Guilherme da Silva Pereira, Gabriel Rodrigues Alves Margarido, et al.. (2017). GBS-based single dosage markers for linkage and QTL mapping allow gene mining for yield-related traits in sugarcane. BMC Genomics. 18(1). 72–72. 71 indexed citations
14.
Pereira, Guilherme da Silva, Maria Marta Pastina, Rodrigo Gazaffi, et al.. (2016). The Sweet Passion Fruit (Passiflora alata) Crop: Genetic and Phenotypic Parameter Estimates and QTL Mapping for Fruit Traits. Tropical Plant Biology. 10(1). 18–29. 5 indexed citations
15.
Santos, João Messias dos, et al.. (2015). Melhoramento genético da cana-de-açúcar.. 3 indexed citations
16.
Rosário, Millor Fernandes do, Rodrigo Gazaffi, A. S. A. M. T. Moura, et al.. (2013). Composite interval mapping and mixed models reveal QTL associated with performance and carcass traits on chicken chromosomes 1, 3, and 4. Journal of Applied Genetics. 55(1). 97–103. 2 indexed citations
17.
Sluys, Marie‐Anne Van, Douglas Silva Domingues, Walter Maccheroni, et al.. (2012). A novel linkage map of sugarcane with evidence for clustering of retrotransposon-based markers. BMC Genetics. 13(1). 51–51. 29 indexed citations
18.
Pastina, Maria Marta, Marcos Malosetti, Rodrigo Gazaffi, et al.. (2011). A mixed model QTL analysis for sugarcane multiple-harvest-location trial data. Theoretical and Applied Genetics. 124(5). 835–849. 58 indexed citations
19.
Chioratto, Alisson Fernando, Maria Imaculada Zucchi, Carlos Augusto Colombo, et al.. (2011). Genetic diversity in cultivated carioca common beans based on molecular marker analysis. SHILAP Revista de lepidopterología. 34(1). 88–102. 34 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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