FUS affects circular RNA expression in murine embryonic stem cell-derived motor neurons
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- Nature Communications
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doi.org/10.1038/ncomms14741 →Countries where authors are citing FUS affects circular RNA expression in murine embryonic stem cell-derived motor neurons
This map shows the geographic impact of FUS affects circular RNA expression in murine embryonic stem cell-derived motor neurons. 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 FUS affects circular RNA expression in murine embryonic stem cell-derived motor neurons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites FUS affects circular RNA expression in murine embryonic stem cell-derived motor neurons more than expected).
Fields of papers citing FUS affects circular RNA expression in murine embryonic stem cell-derived motor neurons
This network shows the impact of FUS affects circular RNA expression in murine embryonic stem cell-derived motor neurons. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the FUS affects circular RNA expression in murine embryonic stem cell-derived motor neurons.
About FUS affects circular RNA expression in murine embryonic stem cell-derived motor neurons
This paper, published in 2017, received 417 indexed citations . Written by Pietro Laneve, Alessio Colantoni, Ivano Legnini, Davide Capauto, Alessandro Rosa, Riccardo De Santis, Rebecca Scarfò, Giovanna Peruzzi, Lei Lü and Elisa Caffarelli covering the research area of Molecular Biology and Cancer Research. It is primarily cited by scholars working on Molecular Biology (407 citations), Cancer Research (337 citations) and Neurology (23 citations). Published in Nature Communications.
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/10.1038/ncomms14741.