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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:

Enviromics in breeding: applications and perspectives on envirotypic-assisted selection
Rafael Tassinari Resende, Hans‐Peter Piepho, Guilherme J. M. Rosa, et al.
Theoretical and Applied Genetics (2020) Vol. 134, Iss. 1, pp. 95-112
Open Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data
José Crossa, Roberto Fritsche‐Neto, Osval A. Montesinos‐López, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 191
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: 157
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: 92
Modern Strategies to Assess and Breed Forest Tree Adaptation to Changing Climate
Andrés J. Cortés, Manuela Restrepo-Montoya, Larry E. Bedoya-Canas
Frontiers in Plant Science (2020) Vol. 11
Open Access | Times Cited: 108
Harnessing Crop Wild Diversity for Climate Change Adaptation
Andrés J. Cortés, Felipe López-Hernández
Genes (2021) Vol. 12, Iss. 5, pp. 783-783
Open Access | Times Cited: 98
An integrated framework reinstating the environmental dimension for GWAS and genomic selection in crops
Xianran Li, Tingting Guo, Jinyu Wang, et al.
Molecular Plant (2021) Vol. 14, Iss. 6, pp. 874-887
Open Access | Times Cited: 94
Applications of Artificial Intelligence in Climate-Resilient Smart-Crop Breeding
Muhammad Hafeez Ullah Khan, Shoudong Wang, Jun Wang, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 19, pp. 11156-11156
Open Access | Times Cited: 66
Twelve Years into Genomic Selection in Forest Trees: Climbing the Slope of Enlightenment of Marker Assisted Tree Breeding
Dário Grattapaglia
Forests (2022) Vol. 13, Iss. 10, pp. 1554-1554
Open Access | Times Cited: 48
A Comprehensive Review on Chickpea (Cicer arietinum L.) Breeding for Abiotic Stress Tolerance and Climate Change Resilience
Osvin Arriagada, Felipe Cacciuttolo, Ricardo A. Cabeza, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 12, pp. 6794-6794
Open Access | Times Cited: 42
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: 41
Enviromic prediction enables the characterization and mapping of Eucalyptus globulus Labill breeding zones
Andrew Callister, Germano Costa‐Neto, Ben P. Bradshaw, et al.
Tree Genetics & Genomes (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 12
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: 11
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: 9
Applications of Artificial Intelligence in Wheat Breeding for Sustainable Food Security
Muhammad Ahtasham Mushtaq, Hafiz Ghulam Muhu‐Din Ahmed, Yawen Zeng
Sustainability (2024) Vol. 16, Iss. 13, pp. 5688-5688
Open Access | Times Cited: 9
Embracing plant plasticity or robustness as a means of ensuring food security
Saleh Alseekh, A. Klemmer, Jianbing Yan, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
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: 52
Scaling up high-throughput phenotyping for abiotic stress selection in the field
Daniel Smith, Andries Potgieter, Scott Chapman
Theoretical and Applied Genetics (2021) Vol. 134, Iss. 6, pp. 1845-1866
Closed Access | Times Cited: 51
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
Extending the breeder’s equation to take aim at the target population of environments
Mark Cooper, Owen Powell, Carla Gho, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 22
Modelling selection response in plant-breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions
Mark Cooper, Owen Powell, Kai P. Voss‐Fels, et al.
in silico Plants (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 50
Multi-Environment Yield Components in Advanced Common Bean (Phaseolus vulgaris L.) × Tepary Bean (P. acutifolius A. Gray) Interspecific Lines for Heat and Drought Tolerance
Esteban Burbano‐Erazo, Rommel Igor León Pacheco, Carina Cecilia Cordero Cordero, et al.
Agronomy (2021) Vol. 11, Iss. 10, pp. 1978-1978
Open Access | Times Cited: 40
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: 36
Enviromic prediction is useful to define the limits of climate adaptation: A case study of common bean in Brazil
Alexandre Bryan Heinemann, Germano Costa‐Neto, Roberto Fritsche‐Neto, et al.
Field Crops Research (2022) Vol. 286, pp. 108628-108628
Open Access | Times Cited: 28
Inheritance of Yield Components and Morphological Traits in Avocado cv. Hass From “Criollo” “Elite Trees” via Half-Sib Seedling Rootstocks
Gloria Patricia Cañas-Gutiérrez, Stella Sepulveda‐Ortega, Felipe López-Hernández, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 28
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