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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:

Designing crops for adaptation to the drought and high‐temperature risks anticipated in future climates
Graeme Hammer, Greg McLean, Erik van Oosterom, et al.
Crop Science (2020) Vol. 60, Iss. 2, pp. 605-621
Closed Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates
Ke Liu, Matthew Tom Harrison, Hàoliàng Yán, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 156
Wheat root systems as a breeding target for climate resilience
Eric S. Ober, Samir Alahmad, James Cockram, et al.
Theoretical and Applied Genetics (2021) Vol. 134, Iss. 6, pp. 1645-1662
Open Access | Times Cited: 127
Addressing Research Bottlenecks to Crop Productivity
Matthew Reynolds, Owen K. Atkin, Malcolm J. Bennett, et al.
Trends in Plant Science (2021) Vol. 26, Iss. 6, pp. 607-630
Open Access | Times Cited: 107
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: 78
Integrating genetic gain and gap analysis to predict improvements in crop productivity
Mark Cooper, Tom Tang, Carla Gho, et al.
Crop Science (2020) Vol. 60, Iss. 2, pp. 582-604
Open Access | Times Cited: 106
Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity
Mark Cooper, Kai P. Voss‐Fels, Carlos D. Messina, et al.
Theoretical and Applied Genetics (2021) Vol. 134, Iss. 6, pp. 1625-1644
Open Access | Times Cited: 72
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: 63
Global warming and increasing maize cultivation demand comprehensive efforts in disease and insect resistance breeding in north‐western Europe
Thomas Miedaner, Peter Juroszek
Plant Pathology (2021) Vol. 70, Iss. 5, pp. 1032-1046
Open Access | Times Cited: 61
Vapour pressure deficit determines critical thresholds for global coffee production under climate change
Jarrod Kath, Alessandro Craparo, Youyi Fong, et al.
Nature Food (2022) Vol. 3, Iss. 10, pp. 871-880
Closed Access | Times Cited: 45
A cross‐scale analysis to understand and quantify the effects of photosynthetic enhancement on crop growth and yield across environments
Alex Wu, Jason Brider, Florian A. Busch, et al.
Plant Cell & Environment (2022) Vol. 46, Iss. 1, pp. 23-44
Open Access | Times Cited: 43
Compound and successive events of extreme precipitation and extreme runoff under heatwaves based on CMIP6 models
Peng Sun, Yifan Zou, Rui Yao, et al.
The Science of The Total Environment (2023) Vol. 878, pp. 162980-162980
Closed Access | Times Cited: 35
Quantifying hazard of drought and heat compound extreme events during maize (Zea mays L.) growing season using Magnitude Index and Copula
Ying Guo, Jiquan Zhang, Kaiwei Li, et al.
Weather and Climate Extremes (2023) Vol. 40, pp. 100566-100566
Open Access | Times Cited: 21
CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate
Julián Ramírez-Villegas, Anabel Molero Milan, Nickolai Alexandrov, et al.
Crop Science (2020) Vol. 60, Iss. 2, pp. 547-567
Open Access | Times Cited: 53
In pursuit of a better world: crop improvement and the CGIAR
Jana Kholová, Milan O. Urban, James H. Cock, et al.
Journal of Experimental Botany (2021) Vol. 72, Iss. 14, pp. 5158-5179
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: 49
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: 48
Physiological Responses of Plants to Combined Drought and Heat under Elevated CO2
Lamis Abdelhakim, Rong Zhou, Carl‐Otto Ottosen
Agronomy (2022) Vol. 12, Iss. 10, pp. 2526-2526
Open Access | Times Cited: 35
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: 18
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: 15
Enhancing green bean crop maturity and yield prediction by harnessing the power of statistical analysis, crop records and weather data
Miranda Y. Mortlock, David L. Carey, Hamish Murray, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0306266-e0306266
Open Access
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: 48
The neglected other half ‐ role of the pistil in plant heat stress responses
Yuanyuan Wang, Somayanda M. Impa, Ramanjulu Sunkar, et al.
Plant Cell & Environment (2021) Vol. 44, Iss. 7, pp. 2200-2210
Closed Access | Times Cited: 39
Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?
Christine Diepenbrock, Tom Tang, Michael Jines, et al.
PLANT PHYSIOLOGY (2021) Vol. 188, Iss. 2, pp. 1141-1157
Open Access | Times Cited: 38
Predicting phenotypes from genetic, environment, management, and historical data using CNNs
Jacob D. Washburn, Emre Çimen, Guillaume P. Ramstein, et al.
Theoretical and Applied Genetics (2021) Vol. 134, Iss. 12, pp. 3997-4011
Closed Access | Times Cited: 31
Interdisciplinary strategies to enable data-driven plant breeding in a changing climate
Aaron Kusmec, Zihao Zheng, Sotirios V. Archontoulis, et al.
One Earth (2021) Vol. 4, Iss. 3, pp. 372-383
Open Access | Times Cited: 29
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