Non-Coding RNA

479 papers and 7.4k indexed citations i.

About

The 479 papers published in Non-Coding RNA in the last decades have received a total of 7.4k indexed citations. Papers published in Non-Coding RNA usually cover Molecular Biology (408 papers), Cancer Research (375 papers) and Epidemiology (30 papers) specifically the topics of Cancer-related molecular mechanisms research (292 papers), RNA modifications and cancer (193 papers) and MicroRNA in disease regulation (189 papers). The most active scholars publishing in Non-Coding RNA are Carolyn M. Klinge, Juliane Cristina Ribeiro Fernandes, Lucile Maria Floeter‐Winter, Sandra Márcia Muxel, Juliana Ide Aoki, Stephanie Maia Acuña, Stephanie A. Booth, John S. Mattick, Farah Fatima and Muhammad Nawaz.

In The Last Decade

Fields of papers published in Non-Coding RNA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Non-Coding RNA

Since Specialization
Citations

This map shows the geographic impact of research published in Non-Coding RNA. 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 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 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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