LncRNA‐mediated posttranslational modifications and reprogramming of energy metabolism in cancer

476 indexed citations

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This paper, published in 2020, received 476 indexed citations. Written by Jin‐Fei Lin, Ting Li, Jiajun Li, Rui‐Hua Xu and Huai‐Qiang Ju covering the research area of Cancer Research and Molecular Biology. It is primarily cited by scholars working on Cancer Research (431 citations), Molecular Biology (396 citations) and Pulmonary and Respiratory Medicine (62 citations). Published in Cancer Communications.

Countries where authors are citing LncRNA‐mediated posttranslational modifications and reprogramming of energy metabolism in cancer

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This map shows the geographic impact of LncRNA‐mediated posttranslational modifications and reprogramming of energy metabolism in cancer. 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 LncRNA‐mediated posttranslational modifications and reprogramming of energy metabolism in cancer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LncRNA‐mediated posttranslational modifications and reprogramming of energy metabolism in cancer more than expected).

Fields of papers citing LncRNA‐mediated posttranslational modifications and reprogramming of energy metabolism in cancer

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of LncRNA‐mediated posttranslational modifications and reprogramming of energy metabolism in cancer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the LncRNA‐mediated posttranslational modifications and reprogramming of energy metabolism in cancer.

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/10.1002/cac2.12108.

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