MicroRNA

315 papers and 3.7k indexed citations

About

The 315 papers published in MicroRNA in the last decades have received a total of 3.7k indexed citations. Papers published in MicroRNA usually cover Cancer Research (224 papers), Molecular Biology (199 papers) and Epidemiology (20 papers) specifically the topics of MicroRNA in disease regulation (212 papers), Cancer-related molecular mechanisms research (107 papers) and Circular RNAs in diseases (104 papers). The most active scholars publishing in MicroRNA are Majid Tafrihi, Gea Oliveri Conti, Margherita Ferrante, Ayşe Elif Erson-Bensan, Gunnar Johansson, Min‐Liang Kuo, Pai‐Sheng Chen, Jen-Liang Su, Oguzhan Begik and Alberto Izzotti.

In The Last Decade

MicroRNA

279 papers receiving 3.4k citations

Countries where authors publish in MicroRNA

Since Specialization
Citations

This map shows the geographic impact of research published in MicroRNA. 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 papers published in MicroRNA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MicroRNA more than expected).

Fields of papers published in MicroRNA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in MicroRNA. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in MicroRNA.

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.

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