A scored human protein–protein interaction network to catalyze genomic interpretation

386 indexed citations

Abstract

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About

This paper, published in 2016, received 386 indexed citations. Written by Taibo Li, Rasmus Wernersson, Rasmus Borup Hansen, Heiko Horn, Greg Slodkowicz, Christopher T. Workman, Olga Rigina, Kristoffer Rapacki, Søren Brunak and Thomas Jensen covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (289 citations), Genetics (57 citations) and Computational Theory and Mathematics (50 citations). Published in Nature Methods.

Countries where authors are citing A scored human protein–protein interaction network to catalyze genomic interpretation

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This map shows the geographic impact of A scored human protein–protein interaction network to catalyze genomic interpretation. 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 A scored human protein–protein interaction network to catalyze genomic interpretation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A scored human protein–protein interaction network to catalyze genomic interpretation more than expected).

Fields of papers citing A scored human protein–protein interaction network to catalyze genomic interpretation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A scored human protein–protein interaction network to catalyze genomic interpretation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A scored human protein–protein interaction network to catalyze genomic interpretation.

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This paper is also available at doi.org/10.1038/nmeth.4083.

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