Impacts of El Niño Southern Oscillation on the global yields of major crops

311 indexed citations

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This paper, published in 2014, received 311 indexed citations. Written by Toshichika Iizumi, Jing‐Jia Luo, Andrew J. Challinor, Gen Sakurai, Masayuki Yokozawa, Hirofumi Sakuma, Molly E. Brown and Toshio Yamagata covering the research area of Soil Science, Ecology, Evolution, Behavior and Systematics and Global and Planetary Change. It is primarily cited by scholars working on Global and Planetary Change (158 citations), Ecology, Evolution, Behavior and Systematics (153 citations) and Plant Science (89 citations). Published in Nature Communications.

Countries where authors are citing Impacts of El Niño Southern Oscillation on the global yields of major crops

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This map shows the geographic impact of Impacts of El Niño Southern Oscillation on the global yields of major crops. 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 Impacts of El Niño Southern Oscillation on the global yields of major crops with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Impacts of El Niño Southern Oscillation on the global yields of major crops more than expected).

Fields of papers citing Impacts of El Niño Southern Oscillation on the global yields of major crops

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Impacts of El Niño Southern Oscillation on the global yields of major crops. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Impacts of El Niño Southern Oscillation on the global yields of major crops.

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/ncomms4712.

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