Agrobacterium-mediated transformation of Arabidopsis thaliana using the floral dip method

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This paper, published in 1950, received 1.7k indexed citations. Written by Xiuren Zhang, Rossana Henriques, Shih‐Shun Lin, Qi‐Wen Niu and Nam‐Hai Chua covering the research area of Molecular Biology and Plant Science. It is primarily cited by scholars working on Plant Science (1.5k citations), Molecular Biology (1.2k citations) and Biotechnology (80 citations). Published in Nature Protocols.

Countries where authors are citing Agrobacterium-mediated transformation of Arabidopsis thaliana using the floral dip method

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Citations

This map shows the geographic impact of Agrobacterium-mediated transformation of Arabidopsis thaliana using the floral dip method. 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 Agrobacterium-mediated transformation of Arabidopsis thaliana using the floral dip method with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agrobacterium-mediated transformation of Arabidopsis thaliana using the floral dip method more than expected).

Fields of papers citing Agrobacterium-mediated transformation of Arabidopsis thaliana using the floral dip method

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Agrobacterium-mediated transformation of Arabidopsis thaliana using the floral dip method. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Agrobacterium-mediated transformation of Arabidopsis thaliana using the floral dip method.

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/nprot.2006.97.

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