Direct Cytosolic Delivery of CRISPR/Cas9-Ribonucleoprotein for Efficient Gene Editing

458 indexed citations

Abstract

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This paper, published in 2017, received 458 indexed citations. Written by Rubul Mout, Moumita Ray, Gülen Yesilbag Tonga, Yi-Wei Lee, Tristan Tay, Kanae Sasaki and Vincent M. Rotello covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (411 citations), Genetics (75 citations) and Biomedical Engineering (54 citations). Published in ACS Nano.

Countries where authors are citing Direct Cytosolic Delivery of CRISPR/Cas9-Ribonucleoprotein for Efficient Gene Editing

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This map shows the geographic impact of Direct Cytosolic Delivery of CRISPR/Cas9-Ribonucleoprotein for Efficient Gene Editing. 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 Direct Cytosolic Delivery of CRISPR/Cas9-Ribonucleoprotein for Efficient Gene Editing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Direct Cytosolic Delivery of CRISPR/Cas9-Ribonucleoprotein for Efficient Gene Editing more than expected).

Fields of papers citing Direct Cytosolic Delivery of CRISPR/Cas9-Ribonucleoprotein for Efficient Gene Editing

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Direct Cytosolic Delivery of CRISPR/Cas9-Ribonucleoprotein for Efficient Gene Editing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Direct Cytosolic Delivery of CRISPR/Cas9-Ribonucleoprotein for Efficient Gene Editing.

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/acsnano.6b07600.

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