Bioinspired polymer vesicles and membranes for biological and medical applications

506 indexed citations

Abstract

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About

This paper, published in 2015, received 506 indexed citations. Written by Cornelia G. Palivan, Roland Goers, Adrian Najer, Xiaoyan Zhang, Anja Car and Wolfgang Meier covering the research area of Organic Chemistry, Surfaces, Coatings and Films and Polymers and Plastics. It is primarily cited by scholars working on Organic Chemistry (235 citations), Biomaterials (211 citations) and Molecular Biology (159 citations). Published in Chemical Society Reviews.

Countries where authors are citing Bioinspired polymer vesicles and membranes for biological and medical applications

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This map shows the geographic impact of Bioinspired polymer vesicles and membranes for biological and medical applications. 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 Bioinspired polymer vesicles and membranes for biological and medical applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bioinspired polymer vesicles and membranes for biological and medical applications more than expected).

Fields of papers citing Bioinspired polymer vesicles and membranes for biological and medical applications

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Bioinspired polymer vesicles and membranes for biological and medical applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Bioinspired polymer vesicles and membranes for biological and medical applications.

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/10.1039/c5cs00569h.

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