Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion

4.0k indexed citations
published 2002

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This map shows the geographic impact of Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion. 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 Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion more than expected).

Fields of papers citing Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion.

About Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion

This paper, published in 2002, received 4.0k indexed citations . Written by Haidong Dong, Scott E. Strome, Diva R. Salomão, Hideto Tamura, Fumiya Hirano, Dallas B. Flies, Patrick C. Roche, Jun Lü, Gefeng Zhu and Koji Tamada covering the research area of Oncology and Immunology. It is primarily cited by scholars working on Oncology (3.1k citations), Immunology (2.4k citations) and Molecular Biology (603 citations). Published in Nature Medicine.

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/nm730.

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