RNA-guided gene activation by CRISPR-Cas9–based transcription factors
Impact in
- Genetics 189
Classified as
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.2600 →Countries where authors are citing RNA-guided gene activation by CRISPR-Cas9–based transcription factors
This map shows the geographic impact of RNA-guided gene activation by CRISPR-Cas9–based transcription factors. 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 RNA-guided gene activation by CRISPR-Cas9–based transcription factors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites RNA-guided gene activation by CRISPR-Cas9–based transcription factors more than expected).
Fields of papers citing RNA-guided gene activation by CRISPR-Cas9–based transcription factors
This network shows the impact of RNA-guided gene activation by CRISPR-Cas9–based transcription factors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the RNA-guided gene activation by CRISPR-Cas9–based transcription factors.
About RNA-guided gene activation by CRISPR-Cas9–based transcription factors
This paper, published in 2013, received 1.0k indexed citations . Written by Pablo Pérez‐Piñera, D. Dewran Koçak, Christopher M. Vockley, Andrew F. Adler, Ami M. Kabadi, Lauren R. Polstein, Pratiksha I. Thakore, Katherine A. Glass, David G. Ousterout and Kam W. Leong covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (951 citations), Genetics (189 citations), Plant Science (84 citations), Aging (80 citations) and Business and International Management (70 citations). Published in Nature Methods.
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.2600.