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).
Fields of papers published in Non-coding RNA Research
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.
About Non-coding RNA Research
The 442 papers published in Non-coding RNA Research in the last decades have received a total of 5.8k indexed citations . Papers published in Non-coding RNA Research usually cover Cancer Research (326 papers), Molecular Biology (314 papers), Obstetrics and Gynecology (8 papers), Endocrinology (6 papers) and Immunology (22 papers) specifically the topics of Cancer-related molecular mechanisms research (257 papers), MicroRNA in disease regulation (190 papers), Circular RNAs in diseases (162 papers), RNA modifications and cancer (105 papers), RNA Research and Splicing (55 papers), Extracellular vesicles in disease (26 papers), RNA Interference and Gene Delivery (12 papers) and RNA regulation and disease (12 papers). The most active scholars publishing in Non-coding RNA Research are Aaron M. Johnson, Maggie M. Balas, Tatiana Ilyasova, Ozal Beylerli, Bernhard Biersack, R.A. Youness, Albert Sufianov, Mohamed Z. Gad, Ilgiz Gareev and Johanna K. DiStefano.
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.