Mercury nano-trap for effective and efficient removal of mercury(II) from aqueous solution

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This paper, published in 1950, received 519 indexed citations. Written by Baiyan Li, Yiming Zhang, Dingxuan Ma, Zhan Shi and Shengqian Ma covering the research area of Materials Chemistry and Inorganic Chemistry. It is primarily cited by scholars working on Materials Chemistry (343 citations), Inorganic Chemistry (295 citations) and Water Science and Technology (132 citations). Published in Nature Communications.

Countries where authors are citing Mercury nano-trap for effective and efficient removal of mercury(II) from aqueous solution

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This map shows the geographic impact of Mercury nano-trap for effective and efficient removal of mercury(II) from aqueous solution. 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 Mercury nano-trap for effective and efficient removal of mercury(II) from aqueous solution with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercury nano-trap for effective and efficient removal of mercury(II) from aqueous solution more than expected).

Fields of papers citing Mercury nano-trap for effective and efficient removal of mercury(II) from aqueous solution

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Mercury nano-trap for effective and efficient removal of mercury(II) from aqueous solution. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mercury nano-trap for effective and efficient removal of mercury(II) from aqueous solution.

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/ncomms6537.

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