Long Non-Coding RNA in the Pathogenesis of Cancers

607 indexed citations

Abstract

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About

This paper, published in 2019, received 607 indexed citations. Written by Yujing Chi, Di Wang, Junpei Wang, Weidong Yu and Jichun Yang covering the research area of Cancer Research and Molecular Biology. It is primarily cited by scholars working on Cancer Research (556 citations), Molecular Biology (502 citations) and Epidemiology (54 citations). Published in Cells.

Countries where authors are citing Long Non-Coding RNA in the Pathogenesis of Cancers

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Citations

This map shows the geographic impact of Long Non-Coding RNA in the Pathogenesis of Cancers. 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 Long Non-Coding RNA in the Pathogenesis of Cancers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Non-Coding RNA in the Pathogenesis of Cancers more than expected).

Fields of papers citing Long Non-Coding RNA in the Pathogenesis of Cancers

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Long Non-Coding RNA in the Pathogenesis of Cancers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Long Non-Coding RNA in the Pathogenesis of Cancers.

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.

This paper is also available at doi.org/10.3390/cells8091015.

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