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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 26-50 of 92 citing articles:

Environment Characterization in Sorghum (Sorghum bicolor L.) by Modeling Water-Deficit and Heat Patterns in the Great Plains Region, United States
Ana Julia Paula Carcedo, Laura Mayor, Paula Demarco, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 18
Modeling adaptation of sorghum in Ethiopia with APSIM—opportunities with G×E×M
Alemu Tirfessa, Fikadu Getachew, Greg McLean, et al.
Agronomy for Sustainable Development (2023) Vol. 43, Iss. 1
Open Access | Times Cited: 10
APSIM-based modeling approach to understand sorghum production environments in Mali
Madina Diancoumba, Jana Kholová, Myriam Adam, et al.
Agronomy for Sustainable Development (2024) Vol. 44, Iss. 3
Open Access | Times Cited: 3
Crop science: A foundation for advancing predictive agriculture
Carlos D. Messina, Mark Cooper, Matthew Reynolds, et al.
Crop Science (2020) Vol. 60, Iss. 2, pp. 544-546
Closed Access | Times Cited: 31
Application of Genomic Big Data in Plant Breeding: Past, Present, and Future
Kyung Do Kim, Yuna Kang, Changsoo Kim
Plants (2020) Vol. 9, Iss. 11, pp. 1454-1454
Open Access | Times Cited: 31
Changing times: Opportunities for altering winter wheat phenology
Hester Sheehan, Alison R. Bentley
Plants People Planet (2020) Vol. 3, Iss. 2, pp. 113-123
Open Access | Times Cited: 28
Incorporating realistic trait physiology into crop growth models to support genetic improvement
Kenneth J. Boote, James W. Jones, Gerrit Hoogenboom
in silico Plants (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 26
Wheat crop traits conferring high yield potential may also improve yield stability under climate change
Tommaso Stella, Heidi Webber, Ehsan Eyshi Rezaei, et al.
in silico Plants (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 9
Drought response of water-conserving and non-conserving spring barley cultivars
Mercy Appiah, Issaka Abdulai, Alan H. Schulman, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 9
CGIAR modeling approaches for resource‐constrained scenarios: II. Models for analyzing socioeconomic factors to improve policy recommendations
Gideon Kruseman, Subir Bairagi, Adam M. Komarek, et al.
Crop Science (2020) Vol. 60, Iss. 2, pp. 568-581
Open Access | Times Cited: 26
Coordination of stomata and vein patterns with leaf width underpins water‐use efficiency in a C4 crop
Ling Pan, Barbara George‐Jaeggli, Andrew Borrell, et al.
Plant Cell & Environment (2021) Vol. 45, Iss. 6, pp. 1612-1630
Closed Access | Times Cited: 22
Higher Temperatures Decrease Fruit Size in Strawberry Growing in the Subtropics
C. M. Menzel
Horticulturae (2021) Vol. 7, Iss. 2, pp. 34-34
Open Access | Times Cited: 20
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: 15
Over-Optimistic Projected Future Wheat Yield Potential in the North China Plain: The Role of Future Climate Extremes
Rui Yang, Panhong Dai, Bin Wang, et al.
Agronomy (2022) Vol. 12, Iss. 1, pp. 145-145
Open Access | Times Cited: 14
Simulating drought tolerance of peanut varieties by maintaining photosynthesis under water deficit
Xiaoxing Zhen, Qiong Zhang, Álvaro Sanz‐Sáez, et al.
Field Crops Research (2022) Vol. 287, pp. 108650-108650
Closed Access | Times Cited: 14
Agronomic adaptations to heat stress: Sowing summer crops earlier
Daniel Rodrı́guez, Loretta Serafin, Peter de Voil, et al.
Field Crops Research (2024) Vol. 318, pp. 109592-109592
Open Access | Times Cited: 2
Nanoparticle-Based Nitric Oxide Donors: Exploring Their Antimicrobial and Anti-Biofilm Capabilities
Gonzalo Tortella, Paola Fincheira, Olga Rubilar, et al.
Antibiotics (2024) Vol. 13, Iss. 11, pp. 1047-1047
Open Access | Times Cited: 2
Two decades of creating drought tolerant maize and underpinning prediction technologies in the US corn-belt: Review and perspectives on the future of crop design
Carlos D. Messina, Mark Cooper, Graeme Hammer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 23
Are crop and detailed physiological models equally ‘mechanistic’ for predicting the genetic variability of whole-plant behaviour? The nexus between mechanisms and adaptive strategies
François Tardieu, Ítalo Stefanine Correia Granato, Erik van Oosterom, et al.
in silico Plants (2020) Vol. 2, Iss. 1
Open Access | Times Cited: 21
Retrospective study in U.S. commercial sorghum breeding: II. Physiological changes associated to yield gain
Paula Demarco, Laura Mayor, José L. Rotundo, et al.
Crop Science (2022) Vol. 63, Iss. 2, pp. 867-878
Open Access | Times Cited: 12
Plant production in water-limited environments
Graeme Hammer, Mark Cooper, Matthew Reynolds
Journal of Experimental Botany (2021) Vol. 72, Iss. 14, pp. 5097-5101
Open Access | Times Cited: 17
Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions
Facundo Nicolás Della Nave, Jonathan J. Ojeda, J. Gonzalo N. Irisarri, et al.
Agricultural Systems (2022) Vol. 201, pp. 103459-103459
Closed Access | Times Cited: 11
Quantifying physiological determinants of potential yield in mungbean (Vigna radiata (L.) Wilczek)
Geetika Geetika, Graeme Hammer, Millicent R. Smith, et al.
Field Crops Research (2022) Vol. 287, pp. 108648-108648
Open Access | Times Cited: 11
Modelling plants across scales of biological organisation for guiding crop improvement
Alex Wu
Functional Plant Biology (2023) Vol. 50, Iss. 6, pp. 435-454
Open Access | Times Cited: 6
A probabilistic framework for forecasting maize yield response to agricultural inputs with sub-seasonal climate predictions
Josefina Lacasa, Carlos D. Messina, Ignacio A. Ciampitti
Environmental Research Letters (2023) Vol. 18, Iss. 7, pp. 074042-074042
Open Access | Times Cited: 6

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