Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice

429 indexed citations
published 2014

Countries where authors are citing Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice

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This map shows the geographic impact of Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice more than expected).

Fields of papers citing Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice.

About Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice

This paper, published in 2014, received 429 indexed citations . Written by Wanneng Yang, Zilong Guo, Chenglong Huang, Lingfeng Duan, Guoxing Chen, Ni Jiang, Wei Fang, Hui Feng, Weibo Xie and Xingming Lian covering the research area of Genetics and Molecular Biology. It is primarily cited by scholars working on Plant Science (373 citations), Genetics (241 citations) and Ecology (88 citations). Published in Nature Communications.

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This paper is also available at doi.org/10.1038/ncomms6087.

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