Controlling polymer shape through the self-assembly of dendritic side-groups

720 indexed citations
published 1998

Countries where authors are citing Controlling polymer shape through the self-assembly of dendritic side-groups

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This map shows the geographic impact of Controlling polymer shape through the self-assembly of dendritic side-groups. 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 Controlling polymer shape through the self-assembly of dendritic side-groups with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Controlling polymer shape through the self-assembly of dendritic side-groups more than expected).

Fields of papers citing Controlling polymer shape through the self-assembly of dendritic side-groups

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Controlling polymer shape through the self-assembly of dendritic side-groups. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Controlling polymer shape through the self-assembly of dendritic side-groups.

About Controlling polymer shape through the self-assembly of dendritic side-groups

This paper, published in 1998, received 720 indexed citations . Written by Virgil Percec, Goran Ungar, Duncan J. P. Yeardley, Martin Möller and Sergei S. Sheiko covering the research area of Organic Chemistry, Polymers and Plastics and Biomaterials. It is primarily cited by scholars working on Organic Chemistry (421 citations), Polymers and Plastics (388 citations) and Materials Chemistry (268 citations). Published in Nature.

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/10.1038/34384.

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