3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth854 →Countries where authors are citing 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets
This map shows the geographic impact of 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets. 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 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets more than expected).
Fields of papers citing 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets
This network shows the impact of 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets.
About 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets
This paper, published in 2006, received 689 indexed citations . Written by Amanda Birmingham, Emily M. Anderson, Angela Reynolds, Devin Leake, Yuriy Fedorov, Scott Baskerville, Elena Maksimova, Kathryn M. Robinson, Jon Karpilow and William S. Marshall covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (640 citations), Cancer Research (218 citations) and Genetics (89 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/nmeth854.