Aptamers Generated from Cell-SELEX for Molecular Medicine: A Chemical Biology Approach

664 indexed citations
published 2009

Countries where authors are citing Aptamers Generated from Cell-SELEX for Molecular Medicine: A Chemical Biology Approach

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Citations

This map shows the geographic impact of Aptamers Generated from Cell-SELEX for Molecular Medicine: A Chemical Biology Approach. 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 Aptamers Generated from Cell-SELEX for Molecular Medicine: A Chemical Biology Approach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aptamers Generated from Cell-SELEX for Molecular Medicine: A Chemical Biology Approach more than expected).

Fields of papers citing Aptamers Generated from Cell-SELEX for Molecular Medicine: A Chemical Biology Approach

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Aptamers Generated from Cell-SELEX for Molecular Medicine: A Chemical Biology Approach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Aptamers Generated from Cell-SELEX for Molecular Medicine: A Chemical Biology Approach.

About Aptamers Generated from Cell-SELEX for Molecular Medicine: A Chemical Biology Approach

This paper, published in 2009, received 664 indexed citations . Written by Xiaohong Fang and Weihong Tan covering the research area of Molecular Biology and Biomedical Engineering. It is primarily cited by scholars working on Molecular Biology (609 citations), Biomedical Engineering (284 citations) and Materials Chemistry (86 citations). Published in Accounts of Chemical Research.

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/ar900101s.

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