‘Green revolution’ genes encode mutant gibberellin response modulators

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About

This paper, published in 1950, received 1.6k indexed citations. Written by Jinrong Peng, Donald E. Richards, Nigel M. Hartley, George Murphy, Katrien M. Devos, John E. Flintham, James Beales, A. J. Worland, D. Sudhakar and Paul Christou covering the research area of Plant Science, Genetics and Molecular Biology. It is primarily cited by scholars working on Plant Science (1.5k citations), Molecular Biology (660 citations) and Genetics (482 citations). Published in Nature.

In The Last Decade

doi.org/10.1038/22307 →

Countries where authors are citing ‘Green revolution’ genes encode mutant gibberellin response modulators

Since Specialization
Citations

This map shows the geographic impact of ‘Green revolution’ genes encode mutant gibberellin response modulators. 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 ‘Green revolution’ genes encode mutant gibberellin response modulators with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ‘Green revolution’ genes encode mutant gibberellin response modulators more than expected).

Fields of papers citing ‘Green revolution’ genes encode mutant gibberellin response modulators

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of ‘Green revolution’ genes encode mutant gibberellin response modulators. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the ‘Green revolution’ genes encode mutant gibberellin response modulators.

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/10.1038/22307.

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