Improved data analysis for the MinION nanopore sequencer

422 indexed citations

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This paper, published in 2015, received 422 indexed citations. Written by Miten Jain, Ian T. Fiddes, Karen H. Miga, Hugh E. Olsen, Benedict Paten and Mark Akeson covering the research area of Molecular Biology and Plant Science. It is primarily cited by scholars working on Molecular Biology (281 citations), Biomedical Engineering (140 citations) and Ecology (55 citations). Published in Nature Methods.

Countries where authors are citing Improved data analysis for the MinION nanopore sequencer

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This map shows the geographic impact of Improved data analysis for the MinION nanopore sequencer. 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 Improved data analysis for the MinION nanopore sequencer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Improved data analysis for the MinION nanopore sequencer more than expected).

Fields of papers citing Improved data analysis for the MinION nanopore sequencer

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Improved data analysis for the MinION nanopore sequencer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Improved data analysis for the MinION nanopore sequencer.

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.3290.

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