The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism
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Citations
Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
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Fast and accurate short read alignment with Burrows-Wheeler transform
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Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines
Atwell, S., Huang, Y. S., Vilhjálmsson, B. J., Willems, G., Horton, M., Li, Y., Meng, D., Platt, A., Tarone, A. M., Hu, T. T., et al. (2010) · Nature · doi:10.1038/nature08800 · Cited by 1,780
Self-citationFaST linear mixed models for genome-wide association studies
Lippert, C., Listgarten, J., Liu, Y., Kadie, C. M., Davidson, R. I., & Heckerman, D. (2011) · Nature Methods · doi:10.1038/nmeth.1681 · Cited by 1,209
Human metabolic individuality in biomedical and pharmaceutical research
CARDIoGRAM, Suhre, K., Shin, S.-Y., Petersen, A.-K., Mohney, R. P., Meredith, D., Wägele, B., Altmaier, E., Deloukas, P., Erdmann, J., et al. (2011) · Nature · doi:10.1038/nature10354 · Cited by 1,017
Li, M.-X., Yeung, J. M. Y., Cherny, S. S., & Sham, P. C. (2012) · Human Genetics · doi:10.1007/s00439-011-1118-2 · Cited by 962
The diploid genome sequence of an Asian individual
Wang, J., Wang, W., Li, R., Li, Y., Tian, G., Goodman, L., Fan, W., Zhang, J., Li, J., Zhang, J., et al. (2008) · Nature · doi:10.1038/nature07484 · Cited by 924
Self-citationMetabolomics-assisted breeding: a viable option for crop improvement?
Fernie, A. R., & Schauer, N. (2009) · Trends in Genetics · doi:10.1016/j.tig.2008.10.010 · Cited by 550
The genetics of plant metabolism
Keurentjes, J. J. B., Fu, J., de Vos, C. H. R., Lommen, A., Hall, R. D., Bino, R. J., van der Plas, L. H. W., Jansen, R. C., Vreugdenhil, D., & Koornneef, M. (2006) · Nature Genetics · doi:10.1038/ng1815 · Cited by 499
Cited by
Yang, J., Liu, D., Wang, X., Ji, C., Cheng, F., Liu, B., Hu, Z., Chen, S., Pental, D., Ju, Y., et al. (2016) · Nature Genetics · doi:10.1038/ng.3657 · Cited by 580
Metabolomics for Plant Improvement: Status and Prospects
Kumar, R., Bohra, A., Pandey, A. K., Pandey, M. K., & Kumar, A. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.01302 · Cited by 328
Liu, Y., Lv, J., Liu, Z., Wang, J., Yang, B., Chen, W., Ou, L., Dai, X., Zhang, Z., & Zou, X. (2020) · Food Chemistry · doi:10.1016/j.foodchem.2019.125629 · Cited by 223
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Metadata
- Authors
- Chen, W., Gao, Y., Xie, W., Gong, L., Lu, K., Wang, W., Li, Y., Liu, X., Zhang, H., Dong, H., Zhang, W., Zhang, L., Yu, S., Wang, G., Lian, X., & Luo, J.
- Venue
- Nature Genetics
- Published
- 2014-06-08
- Volume
- 46
- Issue
- 7
- Pages
- 714-721
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2032700288
- Cited by
- 735
- References
- 11
- FWCI
- 26.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism. https://app.cochat.ai/papers/10.1038/ng.3007
- The paper
- Chen, W., Gao, Y., Xie, W., Gong, L., Lu, K., Wang, W., Li, Y., Liu, X., Zhang, H., Dong, H., Zhang, W., Zhang, L., Yu, S., Wang, G., Lian, X., & Luo, J. (2014). Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism. Nature Genetics. https://doi.org/10.1038/ng.3007
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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.
