Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma
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- Nature Communications
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doi.org/10.1038/ncomms6712 →Countries where authors are citing Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma
This map shows the geographic impact of Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma. 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 Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma more than expected).
Fields of papers citing Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma
This network shows the impact of Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma.
About Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma
This paper, published in 2014, received 427 indexed citations . Written by Judith M. Müller, Oscar Krijgsman, Jennifer Tsoi, Lídia Robert, Willy Hugo, Chunying Song, Xiangju Kong, Patrícia A. Possik, Paulien Cornelissen‐Steijger and Marnix H. Geukes Foppen covering the research area of Molecular Biology, Pathology and Forensic Medicine and Immunology. It is primarily cited by scholars working on Molecular Biology (306 citations), Oncology (221 citations) and Immunology (148 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/ncomms6712.