Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cells

Abstract

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About

This paper, published in 1950, received 757 indexed citations. Written by Luca Gattinoni, Xiaosong Zhong, Douglas C. Palmer, Yun Ji, Christian S. Hinrichs, Zhiya Yu, Claudia Wrzesinski, Andrea Boni, Lydie Cassard and Chrystal M. Paulos covering the research area of Immunology and Oncology. It is primarily cited by scholars working on Immunology (540 citations), Oncology (432 citations) and Molecular Biology (215 citations). Published in Nature Medicine.

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doi.org/10.1038/nm.1982 →

Countries where authors are citing Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cells

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This map shows the geographic impact of Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem 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 Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cells more than expected).

Fields of papers citing Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cells

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem 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/nm.1982.

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