BreakDancer: an algorithm for high-resolution mapping of genomic structural variation

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This paper, published in 1950, received 995 indexed citations. Written by Ken Chen, John W. Wallis, Michael D. McLellan, David E. Larson, Joelle Kalicki, Craig Pohl, Sean McGrath, Michael C. Wendl, Qunyuan Zhang and Devin P. Locke covering the research area of Molecular Biology and Genetics. It is primarily cited by scholars working on Molecular Biology (671 citations), Genetics (517 citations) and Plant Science (261 citations). Published in Nature Methods.

Countries where authors are citing BreakDancer: an algorithm for high-resolution mapping of genomic structural variation

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This map shows the geographic impact of BreakDancer: an algorithm for high-resolution mapping of genomic structural variation. 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 BreakDancer: an algorithm for high-resolution mapping of genomic structural variation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BreakDancer: an algorithm for high-resolution mapping of genomic structural variation more than expected).

Fields of papers citing BreakDancer: an algorithm for high-resolution mapping of genomic structural variation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of BreakDancer: an algorithm for high-resolution mapping of genomic structural variation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the BreakDancer: an algorithm for high-resolution mapping of genomic structural variation.

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/nmeth.1363.

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