Deacetylase inhibition promotes the generation and function of regulatory T cells

754 indexed citations

Abstract

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This paper, published in 2007, received 754 indexed citations. Written by Ran Tao, Edwin F. de Zoeten, Engin Özkaynak, Chunxia Chen, Liqing Wang, Paige M. Porrett, Bin Li, Laurence A. Turka, Eric N. Olson and Mark I. Greene covering the research area of Molecular Biology and Immunology. It is primarily cited by scholars working on Molecular Biology (425 citations), Immunology (390 citations) and Oncology (148 citations). Published in Nature Medicine.

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Countries where authors are citing Deacetylase inhibition promotes the generation and function of regulatory T cells

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This map shows the geographic impact of Deacetylase inhibition promotes the generation and function of regulatory T cells. 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 Deacetylase inhibition promotes the generation and function of regulatory T cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deacetylase inhibition promotes the generation and function of regulatory T cells more than expected).

Fields of papers citing Deacetylase inhibition promotes the generation and function of regulatory T cells

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Deacetylase inhibition promotes the generation and function of regulatory T cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Deacetylase inhibition promotes the generation and function of regulatory T cells.

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/nm1652.

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