Molecular Genetic Dissection of Quantitative Trait Loci Regulating Rice Grain Size
Impact in
- Plant Science 353
- Genetics 229
Classified as
- Authors
- Jianru ZuoJiayang Li
- Journal
- Annual Review of Genetics
In The Last Decade
doi.org/10.1146/annurev-genet-120213-092138 →Countries where authors are citing Molecular Genetic Dissection of Quantitative Trait Loci Regulating Rice Grain Size
This map shows the geographic impact of Molecular Genetic Dissection of Quantitative Trait Loci Regulating Rice Grain Size. 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 Molecular Genetic Dissection of Quantitative Trait Loci Regulating Rice Grain Size with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Molecular Genetic Dissection of Quantitative Trait Loci Regulating Rice Grain Size more than expected).
Fields of papers citing Molecular Genetic Dissection of Quantitative Trait Loci Regulating Rice Grain Size
This network shows the impact of Molecular Genetic Dissection of Quantitative Trait Loci Regulating Rice Grain Size. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Molecular Genetic Dissection of Quantitative Trait Loci Regulating Rice Grain Size.
About Molecular Genetic Dissection of Quantitative Trait Loci Regulating Rice Grain Size
This paper, published in 2014, received 386 indexed citations . Written by Jianru Zuo and Jiayang Li covering the research area of Plant Science and Genetics. It is primarily cited by scholars working on Plant Science (353 citations), Genetics (229 citations), Molecular Biology (84 citations), Nutrition and Dietetics (19 citations) and Agronomy and Crop Science (14 citations). Published in Annual Review of Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.1146/annurev-genet-120213-092138.