MicroRNA

313 papers and 3.6k indexed citations

About

The 313 papers published in MicroRNA in the last decades have received a total of 3.6k indexed citations. Papers published in MicroRNA usually cover Cancer Research (222 papers), Molecular Biology (197 papers) and Epidemiology (20 papers) specifically the topics of MicroRNA in disease regulation (211 papers), Cancer-related molecular mechanisms research (105 papers) and Circular RNAs in diseases (102 papers). The most active scholars publishing in MicroRNA are Majid Tafrihi, Margherita Ferrante, Gea Oliveri Conti, Ayşe Elif Erson-Bensan, Pai‐Sheng Chen, Gunnar Johansson, Jen-Liang Su, Min‐Liang Kuo, Oguzhan Begik and Wen-Juan Ni.

In The Last Decade

MicroRNA

275 papers receiving 3.3k citations

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.

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).

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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