Interaction of Gold Nanoparticles with Common Human Blood Proteins

855 indexed citations
published 2009

Countries where authors are citing Interaction of Gold Nanoparticles with Common Human Blood Proteins

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This map shows the geographic impact of Interaction of Gold Nanoparticles with Common Human Blood Proteins. 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 Interaction of Gold Nanoparticles with Common Human Blood Proteins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Interaction of Gold Nanoparticles with Common Human Blood Proteins more than expected).

Fields of papers citing Interaction of Gold Nanoparticles with Common Human Blood Proteins

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Interaction of Gold Nanoparticles with Common Human Blood Proteins. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Interaction of Gold Nanoparticles with Common Human Blood Proteins.

About Interaction of Gold Nanoparticles with Common Human Blood Proteins

This paper, published in 2009, received 855 indexed citations . Written by Silvia H. De Paoli Lacerda, Jung Jin Park, Denis Pristinski, Matthew L. Becker, Alamgir Karim and Jack F. Douglas covering the research area of Molecular Biology, Materials Chemistry and Biomaterials. It is primarily cited by scholars working on Molecular Biology (409 citations), Biomaterials (368 citations) and Materials Chemistry (338 citations). Published in ACS Nano.

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/10.1021/nn9011187.

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