The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Quantifying impacts of enhancing photosynthesis on crop yield
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species
Farquhar, G. D., von Caemmerer, S., & Berry, J. A. (1980) · Planta · doi:10.1007/bf00386231 · Cited by 8,796
Self-citationSome relationships between the biochemistry of photosynthesis and the gas exchange of leaves
von Caemmerer, S., & Farquhar, G. D. (1981) · Planta · doi:10.1007/bf00384257 · Cited by 4,696
Self-citationYield trends are insufficient to double global crop production by 2050
Ray, D. K., Mueller, N. D., West, P. C., & Foley, J. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066428 · Cited by 3,415
Model for predicting evaporation from a row crop with incomplete cover
Ritchie, J. T. (1972) · Water Resources Research · doi:10.1029/wr008i005p01204 · Cited by 2,240
APSIM – evolution towards a new generation of agricultural systems simulation
Holzworth, D. P., Huth, N. I., deVoil, P. G., Zurcher, E. J., Herrmann, N. I., McLean, G., Chenu, K., van Oosterom, E. J., Snow, V., Murphy, C., et al. (2014) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2014.07.009 · Cited by 1,756
Self-citationStomatal conductance correlates with photosynthetic capacity
Wong, S. C., Cowan, I. R., & Farquhar, G. D. (1979) · Nature · doi:10.1038/282424a0 · Cited by 1,406
Self-citationBiochemical Models of Leaf Photosynthesis
von Caemmerer, S. (2000) · CSIRO Publishing eBooks · doi:10.1071/9780643103405 · Cited by 1,253
Simple scaling of photosynthesis from leaves to canopies without the errors of big‐leaf models
DE PURY, D. G. G., & FARQUHAR, G. D. (1997) · Plant, Cell & Environment · doi:10.1111/j.1365-3040.1997.00094.x · Cited by 1,193
Self-citationLeaf Nitrogen, Photosynthesis, and Crop Radiation Use Efficiency: A Review
Sinclair, T. R., & Horie, T. (1989) · Crop Science · doi:10.2135/cropsci1989.0011183x002900010023x · Cited by 1,113
Meeting the Global Food Demand of the Future by Engineering Crop Photosynthesis and Yield Potential
Long, S. P., Marshall-Colon, A., & Zhu, X.-G. (2015) · Cell · doi:10.1016/j.cell.2015.03.019 · Cited by 1,053
Cited by
Towards a multiscale crop modelling framework for climate change adaptation assessment
Peng, B., Guan, K., Tang, J., Ainsworth, E. A., Asseng, S., Bernacchi, C. J., Cooper, M., Delucia, E. H., Elliott, J. W., Ewert, F., et al. (2020) · Nature Plants · doi:10.1038/s41477-020-0625-3 · Cited by 322
Self-citationCrop adaptation to climate change as a consequence of long-term breeding
Snowdon, R. J., Wittkop, B., Chen, T.-W., & Stahl, A. (2021) · Theoretical and Applied Genetics · doi:10.1007/s00122-020-03729-3 · Cited by 172
Hammer, G. L., McLean, G., van Oosterom, E., Chapman, S., Zheng, B., Wu, A., Doherty, A., & Jordan, D. (2020) · Crop Science · doi:10.1002/csc2.20110 · Cited by 115
Self-citationBiological reality and parsimony in crop models—why we need both in crop improvement!
Hammer, G., Messina, C., Wu, A., & Cooper, M. (2019) · in silico Plants · doi:10.1093/insilicoplants/diz010 · Cited by 108
Self-citationA review on semitransparent solar cells for agricultural application
Zhao, Y., Zhu, Y., Cheng, H.-W., Zheng, R., Meng, D., & Yang, Y. (2021) · Materials Today Energy · doi:10.1016/j.mtener.2021.100852 · Cited by 77
Metadata
- Authors
- Wu, A., Hammer, G. L., Doherty, A., von Caemmerer, S., & Farquhar, G. D.
- Venue
- Nature Plants
- Published
- 2019-04-08
- Volume
- 5
- Issue
- 4
- Pages
- 380-388
- ISSN
- 2055-026X (ISSN-L)
- 2055-0278
- OpenAlex
- W2936713371
- Cited by
- 408
- References
- 50
- FWCI
- 12.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantifying impacts of enhancing photosynthesis on crop yield. https://app.cochat.ai/papers/10.1038/s41477-019-0398-8
- The paper
- Wu, A., Hammer, G. L., Doherty, A., von Caemmerer, S., & Farquhar, G. D. (2019). Quantifying impacts of enhancing photosynthesis on crop yield. Nature Plants. https://doi.org/10.1038/s41477-019-0398-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
