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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:

Can We Harness “Enviromics” to Accelerate Crop Improvement by Integrating Breeding and Agronomy?
Mark Cooper, Carlos D. Messina
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
Yunbi Xu, Xingping Zhang, Huihui Li, et al.
Molecular Plant (2022) Vol. 15, Iss. 11, pp. 1664-1695
Open Access | Times Cited: 156
Breeding crops for drought-affected environments and improved climate resilience
Mark Cooper, Carlos D. Messina
The Plant Cell (2022) Vol. 35, Iss. 1, pp. 162-186
Open Access | Times Cited: 91
Crop traits and production under drought
Vincent Vadez, Alexandre Grondin, Karine Chenu, et al.
Nature Reviews Earth & Environment (2024) Vol. 5, Iss. 3, pp. 211-225
Closed Access | Times Cited: 61
Crop traits enabling yield gains under more frequent extreme climatic events
Hàoliàng Yán, Matthew Tom Harrison, Ke Liu, et al.
The Science of The Total Environment (2021) Vol. 808, pp. 152170-152170
Open Access | Times Cited: 65
Genome–Environment Associations, an Innovative Tool for Studying Heritable Evolutionary Adaptation in Orphan Crops and Wild Relatives
Andrés J. Cortés, Felipe López-Hernández, Matthew W. Blair
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 39
Redesigning crop varieties to win the race between climate change and food security
Kevin V. Pixley, Jill E. Cairns, Santiago López‐Ridaura, et al.
Molecular Plant (2023) Vol. 16, Iss. 10, pp. 1590-1611
Open Access | Times Cited: 32
GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting
Maurício dos Santos Araújo, Saulo Fabrício da Silva Chaves, Luíz Antônio dos Santos Dias, et al.
Theoretical and Applied Genetics (2024) Vol. 137, Iss. 4
Open Access | Times Cited: 9
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
Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in Maize
Germano Costa‐Neto, José Crossa, Roberto Fritsche‐Neto
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 35
Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize
Carlos D. Messina, Carla Gho, Graeme Hammer, et al.
Journal of Experimental Botany (2023) Vol. 74, Iss. 16, pp. 4847-4861
Open Access | Times Cited: 16
Environmental context of phenotypic plasticity in flowering time in sorghum and rice
Tingting Guo, Jialu Wei, Xianran Li, et al.
Journal of Experimental Botany (2023) Vol. 75, Iss. 3, pp. 1004-1015
Open Access | Times Cited: 15
Molecular breeding of barley for quality traits and resilience to climate change
Meng Geng, Søren K. Rasmussen, Cecilie S. L. Christensen, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 14
Utilizing genomic prediction to boost hybrid performance in a sweet corn breeding program
Marco Antônio Peixoto, Kristen A. Leach, Diego Jarquín, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 5
Harnessing crop models and machine learning for a spatial-temporal characterization of irrigated rice breeding environments in Brazil
Alexandre Bryan Heinemann, Germano Costa‐Neto, David Henriques da Matta, et al.
Field Crops Research (2024) Vol. 315, pp. 109452-109452
Closed Access | Times Cited: 5
Satellite imagery for high-throughput phenotyping in breeding plots
Francisco Pinto, Mainassara Zaman‐Allah, Matthew Reynolds, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 13
Extending Finlay–Wilkinson regression with environmental covariates
Hans‐Peter Piepho, Justin Blancon
Plant Breeding (2023) Vol. 142, Iss. 5, pp. 621-631
Open Access | Times Cited: 13
Factor‐Analytic Variance–Covariance Structures for Prediction Into a Target Population of Environments
Hans‐Peter Piepho, Emlyn Williams
Biometrical Journal (2024) Vol. 66, Iss. 6
Open Access | Times Cited: 4
Machine learning algorithms translate big data into predictive breeding accuracy
José Crossa, Osval A. Montesinos‐López, Germano Costa‐Neto, et al.
Trends in Plant Science (2024)
Open Access | Times Cited: 4
Breaking the field phenotyping bottleneck in maize with autonomous robots
Jason DeBruin, Thomas Aref, Sara B. Tirado, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
Predicting Genotype × Environment × Management (G × E × M) Interactions for the Design of Crop Improvement Strategies
Mark Cooper, Carlos D. Messina, Tom Tang, et al.
Plant breeding reviews (2022), pp. 467-585
Closed Access | Times Cited: 17
Opportunities and avenues for achieving crop climate resilience
Tinashe Zenda, Nan Wang, Xiaocui Yan, et al.
Environmental and Experimental Botany (2023) Vol. 213, pp. 105414-105414
Closed Access | Times Cited: 10
Envirotyping to drive spring barley adaptation in Northwestern Europe
Maëva Bicard, Michel‐Pierre Faucon, Christoph Dockter, et al.
Field Crops Research (2025) Vol. 326, pp. 109793-109793
Closed Access
Defining the target population of environments (TPE) for enviromics studies using R-based GIS tools
Demila D. M. Cruz, Alexandre Bryan Heinemann, Gustavo Eduardo Marcatti, et al.
Crop Breeding and Applied Biotechnology (2025) Vol. 25, Iss. 1
Open Access
Prediction of biomass sorghum hybrids using environmental feature-enriched genomic combining ability models in tropical environments
Pedro César Oliveira Ribeiro, Réka Howard, Diego Jarquín, et al.
Theoretical and Applied Genetics (2025) Vol. 138, Iss. 6
Closed Access
GIS‐based G × E modeling of maize hybrids through enviromic markers engineering
Rafael Tassinari Resende, Alencar Xavier, Pedro Italo T. Silva, et al.
New Phytologist (2024)
Open Access | Times Cited: 3
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