BTLA is a lymphocyte inhibitory receptor with similarities to CTLA-4 and PD-1

695 indexed citations

Abstract

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About

This paper, published in 2003, received 695 indexed citations. Written by Norihiko Watanabe, Maya Gavrieli, John R. Šedý, Jianfei Yang, Francesca Fallarino, Susan K. Loftin, Michelle A. Hurchla, Natalie Zimmerman, Julia Sim and Xingxing Zang covering the research area of Immunology and Oncology. It is primarily cited by scholars working on Immunology (559 citations), Oncology (281 citations) and Molecular Biology (85 citations). Published in Nature Immunology.

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Countries where authors are citing BTLA is a lymphocyte inhibitory receptor with similarities to CTLA-4 and PD-1

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This map shows the geographic impact of BTLA is a lymphocyte inhibitory receptor with similarities to CTLA-4 and PD-1. 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 BTLA is a lymphocyte inhibitory receptor with similarities to CTLA-4 and PD-1 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BTLA is a lymphocyte inhibitory receptor with similarities to CTLA-4 and PD-1 more than expected).

Fields of papers citing BTLA is a lymphocyte inhibitory receptor with similarities to CTLA-4 and PD-1

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of BTLA is a lymphocyte inhibitory receptor with similarities to CTLA-4 and PD-1. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the BTLA is a lymphocyte inhibitory receptor with similarities to CTLA-4 and PD-1.

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/ni944.

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