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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction
José Crossa, Osval A. Montesinos‐López, Paulino Pérez‐Rodríguez, et al.
Methods in molecular biology (2022), pp. 245-283
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Back to the future for drought tolerance
Luis M. Guadarrama‐Escobar, James Hunt, Allison M. Gurung, et al.
New Phytologist (2024) Vol. 242, Iss. 2, pp. 372-383
Open Access | Times Cited: 10
Satellite-enabled enviromics to enhance crop improvement
Rafael T Resende, Lee T. Hickey, Cibele Hummel do Amaral, et al.
Molecular Plant (2024) Vol. 17, Iss. 6, pp. 848-866
Open Access | Times Cited: 8
Using genome‐wide associations and host‐by‐pathogen predictions to identify allelic interactions that control disease resistance
Owen Hudson, Jeremy Brawner
The Plant Genome (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data
Germano Costa‐Neto, Leonardo Crespo‐Herrera, Nick Fradgley, et al.
G3 Genes Genomes Genetics (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 25
Crop modeling suggests limited transpiration would increase yield of sorghum across drought-prone regions of the United States
Rubí Raymundo, Greg McLean, Sarah Sexton‐Bowser, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
Genomic Prediction from Multi-Environment Trials of Wheat Breeding
Guillermo García-Barrios, Leonardo Crespo‐Herrera, Serafín Cruz-Izquierdo, et al.
Genes (2024) Vol. 15, Iss. 4, pp. 417-417
Open Access | Times Cited: 4
Megavariate Methods Capture Complex Genotype-by-Environment Interactions
Alencar Xavier, Daniel E. Runcie, David Habier
Genetics (2024)
Closed Access | Times Cited: 4
Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols
Shoji Taniguchi, Toshihiro Sakamoto, Haruki Nakamura, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Multi-environment Genomic Selection in Rice Elite Breeding Lines
Văn Hiếu Nguyễn, Rose Imee Zhella Morantte, Vitaliano Lopena, et al.
Rice (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 9
A Method to Estimate Climate Drivers of Maize Yield Predictability Leveraging Genetic-by-Environment Interactions in the US and Canada
Parisa Sarzaeim, Francisco Muñoz‐Arriola
Agronomy (2024) Vol. 14, Iss. 4, pp. 733-733
Open Access | Times Cited: 3
Enhancing winter wheat prediction with genomics, phenomics and environmental data
Osval A. Montesinos‐López, Andrew W. Herr, José Crossa, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Genomic selection for salinity tolerance in japonica rice
Jérôme Bartholomé, Julien Frouin, Laurent Brottier, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0291833-e0291833
Open Access | Times Cited: 7
Genotype‐by‐environment interactions in beef and dairy cattle populations: A review of methodologies and perspectives on research and applications
João Barbosa da Silva Neto, Lúcio Flávio Macêdo Mota, Marisol Londoño‐Gil, et al.
Animal Genetics (2024) Vol. 55, Iss. 6, pp. 871-892
Open Access | Times Cited: 2
Gene × gene and genotype × environment interactions in wheat
Miguel Angel Raffo Busco, Just Jensen
Crop Science (2023) Vol. 63, Iss. 4, pp. 1779-1793
Open Access | Times Cited: 6
Predicting plasticity of rosette growth and metabolic fluxes in Arabidopsis thaliana
Hao Tong, Roosa A. E. Laitinen, Zoran Nikoloski
New Phytologist (2023) Vol. 240, Iss. 1, pp. 426-438
Open Access | Times Cited: 6
Plant environmental memory: implications, mechanisms and opportunities for plant scientists and beyond
Gabriela Auge, Valentin Hankofer, Martin Groth, et al.
AoB Plants (2023) Vol. 15, Iss. 4
Open Access | Times Cited: 5
Genomic predictions to leverage phenotypic data across genebanks
Samira El Hanafi, Yong Jiang, Zakaria Kehel, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 5
Inbred phenotypic data and non‐additive effects can enhance genomic prediction models for hybrid grain sorghum
Daniel Crozier, Fabian Leon, Jales M. O. Fonseca, et al.
Crop Science (2023) Vol. 63, Iss. 3, pp. 1183-1196
Closed Access | Times Cited: 4
A Method to Estimate Climate Drivers of Maize Yield Predictability Leveraging Genetic-by-Environment Interactions in the US and Canada
Parisa Sarzaeim, Francisco Muñoz‐Arriola
(2024)
Open Access | Times Cited: 1
High-dimensional multi-omics measured in controlled conditions are useful for maize platform and field trait predictions
Baber Ali, Bertrand Huguenin-Bizot, Maxime Laurent, et al.
Theoretical and Applied Genetics (2024) Vol. 137, Iss. 7
Closed Access | Times Cited: 1
Prediction of resistance, virulence, and host-by-pathogen interactions using dual-genome prediction models
Owen Hudson, Márcio F. R. Resende, Carlos D. Messina, et al.
Theoretical and Applied Genetics (2024) Vol. 137, Iss. 8
Open Access | Times Cited: 1
Performance of phenomic selection in rice: effects of population size and genotype-environment interactions on predictive ability
Hugues de Verdal, Vincent Segura, David Pot, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Genomic selection for tolerance to aluminum toxicity in a synthetic population of upland rice
Jérôme Bartholomé, José Omar Ospina, Mario Sandoval, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0307009-e0307009
Open Access | Times Cited: 1
Unlocking Wheat Drought Tolerance: The Synergy of Omics Data and Computational Intelligence
Marlon-Schylor L. le Roux, K. Kunert, Christopher A. Cullis, et al.
Food and Energy Security (2024) Vol. 13, Iss. 6
Open Access | Times Cited: 1
Genetic mapping and prediction for novel lesion mimic in maize demonstrates quantitative effects from genetic background, environment and epistasis
Alper Adak, Seth C. Murray, Claudia Irene Calderón, et al.
Theoretical and Applied Genetics (2023) Vol. 136, Iss. 7
Closed Access | Times Cited: 2
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