MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions.

673 indexed citations
published 2011
Journal
PubMed

In The Last Decade

doi.org/w77744878 →

Countries where authors are citing MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions.

Specialization
Citations

This map shows the geographic impact of MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions.. 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 MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions. more than expected).

Fields of papers citing MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions..

About MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions.

This paper, published in 2011, received 673 indexed citations . Written by Girish C. Shukla, Jagjit Singh and Sailen Barik covering the research area of Cancer Research and Molecular Biology. It is primarily cited by scholars working on Molecular Biology (519 citations), Cancer Research (509 citations) and Immunology (57 citations). Published in PubMed.

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/w77744878.

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