Effects of cold plasma treatment on seed germination and seedling growth of soybean

365 indexed citations

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This paper, published in 2014, received 365 indexed citations. Written by Ling Li, Jiafeng Jiang, Jiangang Long, Minchong Shen, He Xin, Hanliang Shao and Dong Yuanhua covering the research area of Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. It is primarily cited by scholars working on Radiology, Nuclear Medicine and Imaging (247 citations), Plant Science (139 citations) and Electrical and Electronic Engineering (134 citations). Published in Scientific Reports.

Countries where authors are citing Effects of cold plasma treatment on seed germination and seedling growth of soybean

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This map shows the geographic impact of Effects of cold plasma treatment on seed germination and seedling growth of soybean. 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 Effects of cold plasma treatment on seed germination and seedling growth of soybean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Effects of cold plasma treatment on seed germination and seedling growth of soybean more than expected).

Fields of papers citing Effects of cold plasma treatment on seed germination and seedling growth of soybean

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Effects of cold plasma treatment on seed germination and seedling growth of soybean. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Effects of cold plasma treatment on seed germination and seedling growth of soybean.

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/srep05859.

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