Carbon input by roots into the soil: Quantification of rhizodeposition from root to ecosystem scale

687 indexed citations

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This paper, published in 2017, received 687 indexed citations. Written by Johanna Pausch and Yakov Kuzyakov covering the research area of Soil Science, Plant Science and Ecology. It is primarily cited by scholars working on Soil Science (498 citations), Plant Science (287 citations) and Ecology (235 citations). Published in Global Change Biology.

Countries where authors are citing Carbon input by roots into the soil: Quantification of rhizodeposition from root to ecosystem scale

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This map shows the geographic impact of Carbon input by roots into the soil: Quantification of rhizodeposition from root to ecosystem scale. 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 Carbon input by roots into the soil: Quantification of rhizodeposition from root to ecosystem scale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carbon input by roots into the soil: Quantification of rhizodeposition from root to ecosystem scale more than expected).

Fields of papers citing Carbon input by roots into the soil: Quantification of rhizodeposition from root to ecosystem scale

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Carbon input by roots into the soil: Quantification of rhizodeposition from root to ecosystem scale. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Carbon input by roots into the soil: Quantification of rhizodeposition from root to ecosystem scale.

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/10.1111/gcb.13850.

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