R. W. Noda

455 total citations
15 papers, 320 citations indexed

About

R. W. Noda is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, R. W. Noda has authored 15 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 5 papers in Genetics and 3 papers in Agronomy and Crop Science. Recurrent topics in R. W. Noda's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Biofuel production and bioconversion (3 papers) and Genetic and phenotypic traits in livestock (3 papers). R. W. Noda is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), Biofuel production and bioconversion (3 papers) and Genetic and phenotypic traits in livestock (3 papers). R. W. Noda collaborates with scholars based in Brazil, United States and Ecuador. R. W. Noda's co-authors include J. V. de Magalhães, Maria Marta Pastina, C. T. Guimarães, S. N. Parentoni, Kaio Olímpio das Graças Dias, C. M. B. Damasceno, R. E. Schaffert, Antônio Augusto Franco Garcia, L. J. M. Guimarães and R. A. da C. Parrella and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

R. W. Noda

13 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. W. Noda Brazil 9 213 133 49 23 19 15 320
Jesse Munkvold United States 11 401 1.9× 127 1.0× 87 1.8× 44 1.9× 10 0.5× 13 429
Balpreet K. Dhatt United States 11 295 1.4× 96 0.7× 24 0.5× 65 2.8× 11 0.6× 16 326
Jayfred Godoy United States 10 287 1.3× 147 1.1× 75 1.5× 14 0.6× 13 0.7× 18 322
Marcus O. Olatoye United States 10 301 1.4× 218 1.6× 134 2.7× 25 1.1× 22 1.2× 14 376
Nitish Ranjan Prakash India 10 207 1.0× 79 0.6× 33 0.7× 47 2.0× 13 0.7× 31 280
Tianxiao Chen China 10 378 1.8× 101 0.8× 66 1.3× 52 2.3× 5 0.3× 15 416
S. Ganesh India 6 440 2.1× 179 1.3× 40 0.8× 32 1.4× 9 0.5× 38 466
Belum V.S. Reddy India 9 253 1.2× 40 0.3× 102 2.1× 38 1.7× 23 1.2× 18 311
Tuong‐Vi Cao France 10 282 1.3× 150 1.1× 34 0.7× 17 0.7× 6 0.3× 21 323
Habtamu Ayalew United States 12 478 2.2× 144 1.1× 160 3.3× 46 2.0× 8 0.4× 22 538

Countries citing papers authored by R. W. Noda

Since Specialization
Citations

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

Fields of papers citing papers by R. W. Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. W. Noda. 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 R. W. Noda. The network helps show where R. W. Noda may publish in the future.

Co-authorship network of co-authors of R. W. Noda

This figure shows the co-authorship network connecting the top 25 collaborators of R. W. Noda. A scholar is included among the top collaborators of R. W. Noda 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 R. W. Noda. R. W. Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Guimarães, C. T., S. M. de Sousa, Valéria Aparecida Vieira Queiróz, et al.. (2022). A genome-wide association study investigating fumonisin contamination in a panel of tropical maize elite lines. Euphytica. 218(9). 4 indexed citations
2.
Guimarães, L. J. M., F. O. M. Durães, Maria Marta Pastina, et al.. (2022). Hitos tecnológicos que cambiaron el rol de Brasil en la producción de maíz: 30 años de crecimiento para convertirse en importante actor del escenario mundial, una revisión. SHILAP Revista de lepidopterología. 14(1).
3.
Pereira, Guilherme da Silva, Maria Marta Pastina, R. A. da C. Parrella, et al.. (2021). QTL mapping for bioenergy traits in sweet sorghum recombinant inbred lines. G3 Genes Genomes Genetics. 11(11). 6 indexed citations
4.
Barros, B. A., Beatrice A. Were, P. Kisinyo, et al.. (2020). Aluminum tolerance mechanisms in Kenyan maize germplasm are independent from the citrate transporter ZmMATE1. Scientific Reports. 10(1). 7320–7320. 61 indexed citations
5.
Dias, Kaio Olímpio das Graças, Hans‐Peter Piepho, L. J. M. Guimarães, et al.. (2019). Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data. Theoretical and Applied Genetics. 133(2). 443–455. 28 indexed citations
6.
Dias, Kaio Olímpio das Graças, Salvador A. Gezan, C. T. Guimarães, et al.. (2018). Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials. Heredity. 121(1). 24–37. 68 indexed citations
7.
Pastina, Maria Marta, R. A. da C. Parrella, R. W. Noda, et al.. (2018). Genomic prediction applied to high-biomass sorghum for bioenergy production. Molecular Breeding. 38(4). 49–49. 29 indexed citations
8.
Pastina, Maria Marta, R. E. Schaffert, Pedro Crescêncio Souza Carneiro, et al.. (2017). Phenotypic and molecular characterization of sweet sorghum accessions for bioenergy production. PLoS ONE. 12(8). e0183504–e0183504. 29 indexed citations
9.
Souza, I. R. P. de, et al.. (2017). Johnsongrass mosaic virus infecting sorghum in Brazil.. 1 indexed citations
10.
Lana, U. G. de P., I. R. P. de Souza, R. W. Noda, et al.. (2016). Quantitative Trait Loci and Resistance Gene Analogs Associated with Maize White Spot Resistance. Plant Disease. 101(1). 200–208. 10 indexed citations
11.
Gomes, E. A., C. A. Oliveira, U. G. P. Lana, et al.. (2015). Arbuscular Mycorrhizal Fungal Communities in the Roots of Maize Lines Contrasting for Al Tolerance Grown in Limed and Non-Limed Brazilian Oxisoil. Journal of Microbiology and Biotechnology. 25(7). 978–987. 10 indexed citations
12.
Guimarães, C. T., Maria Marta Pastina, Lyza Maron, et al.. (2014). Genetic dissection of Al tolerance QTLs in the maize genome by high density SNP scan. BMC Genomics. 15(1). 153–153. 50 indexed citations
13.
Noda, R. W., et al.. (2014). FluxTransgenics: a flexible LIMS-based tool for management of plant transformation experimental data. Plant Methods. 10(1). 1 indexed citations
14.
Fassini, Priscila Giácomo, et al.. (2011). Soybean glycinin improves HDL-C and suppresses the effects of rosuvastatin on hypercholesterolemic rats. Lipids in Health and Disease. 10(1). 165–165. 23 indexed citations
15.
Ferro, Maria Inês Tiraboschi, et al.. (2007). Water deficit-related expressed sequence tags (ESTS) in the sugarcane (Saccharum spp.) leaf roll.. 953–957.

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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