Imaging dynamic and selective low-complexity domain interactions that control gene transcription

673 indexed citations

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This paper, published in 2018, received 673 indexed citations. Written by Shasha Chong, Claire Dugast‐Darzacq, Zhe Liu, Peng Dong, Gina M. Dailey, Claudia Cattoglio, Alec Heckert, Sambashiva Banala, Luke D. Lavis and Xavier Darzacq covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (631 citations), Plant Science (60 citations) and Genetics (35 citations). Published in Science.

Countries where authors are citing Imaging dynamic and selective low-complexity domain interactions that control gene transcription

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This map shows the geographic impact of Imaging dynamic and selective low-complexity domain interactions that control gene transcription. 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 Imaging dynamic and selective low-complexity domain interactions that control gene transcription with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imaging dynamic and selective low-complexity domain interactions that control gene transcription more than expected).

Fields of papers citing Imaging dynamic and selective low-complexity domain interactions that control gene transcription

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Imaging dynamic and selective low-complexity domain interactions that control gene transcription. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Imaging dynamic and selective low-complexity domain interactions that control gene transcription.

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/10.1126/science.aar2555.

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