Pooled CRISPR screening with single-cell transcriptome readout

Abstract

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About

This paper, published in 1950, received 640 indexed citations. Written by Paul Datlinger, André F. Rendeiro, Christian Schmidl, Thomas Krausgruber, Peter Traxler, Johanna Klughammer, Linda C. Schuster, Donát Alpár and Christoph Bock covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (583 citations), Cancer Research (85 citations) and Genetics (75 citations). Published in Nature Methods.

Countries where authors are citing Pooled CRISPR screening with single-cell transcriptome readout

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This map shows the geographic impact of Pooled CRISPR screening with single-cell transcriptome readout. 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 Pooled CRISPR screening with single-cell transcriptome readout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooled CRISPR screening with single-cell transcriptome readout more than expected).

Fields of papers citing Pooled CRISPR screening with single-cell transcriptome readout

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Pooled CRISPR screening with single-cell transcriptome readout. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Pooled CRISPR screening with single-cell transcriptome readout.

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.4177.

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