Macromolecular Engineering through Click Chemistry and Other Efficient Transformations

602 indexed citations
published 2009

Countries where authors are citing Macromolecular Engineering through Click Chemistry and Other Efficient Transformations

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This map shows the geographic impact of Macromolecular Engineering through Click Chemistry and Other Efficient Transformations. 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 Macromolecular Engineering through Click Chemistry and Other Efficient Transformations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Macromolecular Engineering through Click Chemistry and Other Efficient Transformations more than expected).

Fields of papers citing Macromolecular Engineering through Click Chemistry and Other Efficient Transformations

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Macromolecular Engineering through Click Chemistry and Other Efficient Transformations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Macromolecular Engineering through Click Chemistry and Other Efficient Transformations.

About Macromolecular Engineering through Click Chemistry and Other Efficient Transformations

This paper, published in 2009, received 602 indexed citations . Written by Brent S. Sumerlin and Andrew P. Vogt covering the research area of Organic Chemistry and Molecular Biology. It is primarily cited by scholars working on Organic Chemistry (511 citations), Molecular Biology (191 citations) and Biomaterials (130 citations). Published in Macromolecules.

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/ma901447e.

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