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. 2022 Oct 21;13:1025861. doi: 10.3389/fimmu.2022.1025861

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Copyright © 2022 Wan, Shen, Ouyang, Dong, Hong, Liang and Liu

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Analysis of NETs-related keyword. (A) Collaborative network visualization of keywords in VOSviewer. The figure shows the keywords with more than 15 occurrences. The nodes of different colors represent the keywords of different clusters, and the size of nodes indicates their frequency. (B) Timeline view of keywords. Each horizontal line represents a cluster. The smaller the number is, the larger the cluster, with #0 being the largest cluster. Nodes size reflects co-citation frequency, and the links between nodes indicate co-citation relationships. Nodes occurrence year is the time when they were first co-cited.