MAP kinase signalling cascade in Arabidopsis innate immunity

2.1k indexed citations

Abstract

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This paper, published in 2002, received 2.1k indexed citations. Written by Tsuneaki Asai, Guillaume Tena, Matthew R. Willmann, Wan-Ling Chiu, Lourdes Gómez‐Gómez, Thomas Boller, Frederick M. Ausubel and Jen Sheen covering the research area of Plant Science and Molecular Biology. It is primarily cited by scholars working on Plant Science (2.0k citations), Molecular Biology (961 citations) and Cell Biology (120 citations). Published in Nature.

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Countries where authors are citing MAP kinase signalling cascade in Arabidopsis innate immunity

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This map shows the geographic impact of MAP kinase signalling cascade in Arabidopsis innate immunity. 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 MAP kinase signalling cascade in Arabidopsis innate immunity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MAP kinase signalling cascade in Arabidopsis innate immunity more than expected).

Fields of papers citing MAP kinase signalling cascade in Arabidopsis innate immunity

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of MAP kinase signalling cascade in Arabidopsis innate immunity. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the MAP kinase signalling cascade in Arabidopsis innate immunity.

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/10.1038/415977a.

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