Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome
Impact in
- Molecular Biology 1.2k
- Cancer Research 562
Classified as
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.3453 →Countries where authors are citing Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome
This map shows the geographic impact of Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome. 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 Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome more than expected).
Fields of papers citing Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome
This network shows the impact of Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome.
About Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome
This paper, published in 2015, received 1.2k indexed citations . Written by Bastian Linder, Anya V. Grozhik, Anthony O. Olarerin-George, Cem Meydan, Christopher E. Mason and Samie R. Jaffrey covering the research area of Molecular Biology, Oncology and Electrical and Electronic Engineering. It is primarily cited by scholars working on Molecular Biology (1.2k citations), Cancer Research (562 citations), Electrical and Electronic Engineering (167 citations), Oncology (63 citations) and Surgery (23 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.3453.