Non-coding RNA Research

383 papers and 4.5k indexed citations i.

About

The 383 papers published in Non-coding RNA Research in the last decades have received a total of 4.5k indexed citations. Papers published in Non-coding RNA Research usually cover Cancer Research (316 papers), Molecular Biology (315 papers) and Pulmonary and Respiratory Medicine (23 papers) specifically the topics of Cancer-related molecular mechanisms research (252 papers), MicroRNA in disease regulation (194 papers) and Circular RNAs in diseases (168 papers). The most active scholars publishing in Non-coding RNA Research are Maggie M. Balas, Aaron M. Johnson, Bernhard Biersack, R.A. Youness, Ozal Beylerli, Tatiana Ilyasova, Mohamed Z. Gad, Albert Sufianov, Johanna K. DiStefano and Ilgiz Gareev.

In The Last Decade

Fields of papers published in Non-coding RNA Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Non-coding RNA Research. 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 Non-coding RNA Research.

Countries where authors publish in Non-coding RNA Research

Since Specialization
Citations

This map shows the geographic impact of research published in Non-coding RNA Research. 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 Non-coding RNA Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Non-coding RNA Research 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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