Germano Costa‐Neto

1.1k total citations
22 papers, 578 citations indexed

About

Germano Costa‐Neto is a scholar working on Plant Science, Genetics and Ecology. According to data from OpenAlex, Germano Costa‐Neto has authored 22 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 16 papers in Genetics and 2 papers in Ecology. Recurrent topics in Germano Costa‐Neto's work include Genetics and Plant Breeding (18 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Genetic and phenotypic traits in livestock (10 papers). Germano Costa‐Neto is often cited by papers focused on Genetics and Plant Breeding (18 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Genetic and phenotypic traits in livestock (10 papers). Germano Costa‐Neto collaborates with scholars based in United States, Brazil and Mexico. Germano Costa‐Neto's co-authors include Roberto Fritsche‐Neto, José Crossa, Osval A. Montesinos‐López, Alison R. Bentley, Abelardo Montesinos‐López, Susanne Dreisigacker, Giovanni Galli, Alexandre Bryan Heinemann, Adriano Pereira de Castro and Jaime Cuevas and has published in prestigious journals such as The Plant Journal, Global Change Biology and Trends in Plant Science.

In The Last Decade

Germano Costa‐Neto

20 papers receiving 575 citations

Peers

Countries citing papers authored by Germano Costa‐Neto

Since Specialization

Citations

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

Fields of papers citing papers by Germano Costa‐Neto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Germano Costa‐Neto. 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 Germano Costa‐Neto. The network helps show where Germano Costa‐Neto may publish in the future.

Co-authorship network of co-authors of Germano Costa‐Neto

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Contrasting rhizosphere nitrogen dynamics in Andropogoneae grasses 2025 ·The Plant Journal ·(unknown), Bryan D. Emmett, (unknown), Germano Costa‐Neto, (unknown), Nicholas Lepak, (unknown), (unknown), (unknown), (unknown), Jonathan Odilón Ojeda‐Rivera, Angela D. Kent, Elizabeth A. Kellogg, M. Cinta Romay, Edward S. Buckler	0
2	Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software 2025 ·Trends in Plant Science ·José Crossa, Johannes W. R. Martini, (unknown), Paulino Pérez‐Rodríguez, Germano Costa‐Neto, Roberto Fritsche‐Neto, Daniel E. Runcie, Jaime Cuevas, Fernando Toledo, Hongyan Li, Pasquale De Vita, Guillermo Gerard, Susanne Dreisigacker, Leonardo Crespo‐Herrera, Carolina Saint Pierre, Alison R. Bentley, Morten Lillemo, Rodomiro Ortíz, (unknown), (unknown)	13
3	Detecting environmental trends to rethink soybean variety testing programs 2025 ·Crop Science ·(unknown), (unknown), (unknown), Germano Costa‐Neto, William J. Wiebold, André Fróes de Borja Reis	0
4	Harnessing crop models and machine learning for a spatial-temporal characterization of irrigated rice breeding environments in Brazil 2024 ·Field Crops Research ·Alexandre Bryan Heinemann, Germano Costa‐Neto, (unknown), (unknown), L. F. Stone	5
5	Machine learning algorithms translate big data into predictive breeding accuracy 2024 ·Trends in Plant Science ·José Crossa, Osval A. Montesinos‐López, Germano Costa‐Neto, (unknown), Johannes W. R. Martini, Daniel E. Runcie, Roberto Fritsche‐Neto, Abelardo Montesinos‐López, Paulino Pérez‐Rodríguez, Guillermo Gerard, (unknown), Leonardo Crespo‐Herrera, Carolina Saint Pierre, Morten Lillemo, Jaime Cuevas, Alison R. Bentley, Rodomiro Ortíz	19
6	GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting 2024 ·Theoretical and Applied Genetics ·(unknown), (unknown), Luíz Antônio dos Santos Dias, (unknown), (unknown), (unknown), Rodrigo Silva Alves, Alexandre Bryan Heinemann, F. Breseghello, Pedro Crescêncio Souza Carneiro, (unknown), Germano Costa‐Neto, Kaio Olímpio das Graças Dias	14
7	Enviromic prediction enables the characterization and mapping of Eucalyptus globulus Labill breeding zones 2024 ·Tree Genetics & Genomes ·(unknown), Germano Costa‐Neto, (unknown), (unknown), José Crossa, Jeremy Brawner	11
8	Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize 2023 ·BMC Plant Biology ·(unknown), (unknown), Germano Costa‐Neto, Osval A. Montesinos‐López, José Crossa, Roberto Fritsche‐Neto	7
9	Environmental clusters defining breeding zones for tropical irrigated rice in Brazil 2023 ·Agronomy Journal ·Germano Costa‐Neto, (unknown), (unknown), L. F. Stone, Alexandre Bryan Heinemann	5
10	Prediction of near‐term climate change impacts on UK wheat quality and the potential for adaptation through plant breeding 2022 ·Global Change Biology ·Nick Fradgley, (unknown), Alison R. Bentley, Germano Costa‐Neto, A. Cottrell, José Crossa, Jaime Cuevas, (unknown), Edward Pope, Stéphanie M. Swarbreck, Keith A. Gardner	19
11	Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data 2022 ·G3 Genes Genomes Genetics ·Germano Costa‐Neto, Leonardo Crespo‐Herrera, Nick Fradgley, Keith A. Gardner, Alison R. Bentley, Susanne Dreisigacker, Roberto Fritsche‐Neto, Osval A. Montesinos‐López, José Crossa	29
12	Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction 2022 ·Methods in molecular biology ·José Crossa, Osval A. Montesinos‐López, Paulino Pérez‐Rodríguez, Germano Costa‐Neto, Roberto Fritsche‐Neto, Rodomiro Ortíz, Johannes W. R. Martini, Morten Lillemo, Abelardo Montesinos‐López, Diego Jarquín, F. Breseghello, Jaime Cuevas, Renaud Rincent	37
13	EnvRtype : a software to interplay enviromics and quantitative genomics in agriculture 2021 ·G3 Genes Genomes Genetics ·Germano Costa‐Neto, Giovanni Galli, (unknown), José Crossa, Roberto Fritsche‐Neto	72
14	Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review 2021 ·Frontiers in Plant Science ·Roberto Fritsche‐Neto, Giovanni Galli, (unknown), Germano Costa‐Neto, Filipe Couto Alves, (unknown), Danilo Hottis Lyra, (unknown), (unknown), Ítalo Stefanine Correia Granato, José Crossa	18
15	The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data 2021 ·Frontiers in Plant Science ·José Crossa, Roberto Fritsche‐Neto, Osval A. Montesinos‐López, Germano Costa‐Neto, Susanne Dreisigacker, Abelardo Montesinos‐López, Alison R. Bentley	114
16	Enviromics: bridging different sources of data, building one framework 2021 ·Crop Breeding and Applied Biotechnology ·Germano Costa‐Neto, Roberto Fritsche‐Neto	23
17	Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in Maize 2021 ·Frontiers in Plant Science ·Germano Costa‐Neto, José Crossa, Roberto Fritsche‐Neto	35
18	A novel way to validate UAS-based high-throughput phenotyping protocols using in silico experiments for plant breeding purposes 2020 ·Theoretical and Applied Genetics ·Giovanni Galli, (unknown), Germano Costa‐Neto, Roberto Fritsche‐Neto	3
19	Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials 2020 ·Heredity ·Germano Costa‐Neto, Roberto Fritsche‐Neto, José Crossa	88
20	A novel GIS-based tool to reveal spatial trends in reaction norm: upland rice case study 2020 ·Euphytica ·Germano Costa‐Neto, (unknown), Alexandre Bryan Heinemann, Adriano Pereira de Castro, João Batista Duarte	20

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.

Explore authors with similar magnitude of impact