Interleukin-7 mediates the homeostasis of naïve and memory CD8 T cells in vivo

1.3k indexed citations
published 2000

Countries where authors are citing Interleukin-7 mediates the homeostasis of naïve and memory CD8 T cells in vivo

Specialization
Citations

This map shows the geographic impact of Interleukin-7 mediates the homeostasis of naïve and memory CD8 T cells in vivo. 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 Interleukin-7 mediates the homeostasis of naïve and memory CD8 T cells in vivo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Interleukin-7 mediates the homeostasis of naïve and memory CD8 T cells in vivo more than expected).

Fields of papers citing Interleukin-7 mediates the homeostasis of naïve and memory CD8 T cells in vivo

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Interleukin-7 mediates the homeostasis of naïve and memory CD8 T cells in vivo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Interleukin-7 mediates the homeostasis of naïve and memory CD8 T cells in vivo.

About Interleukin-7 mediates the homeostasis of naïve and memory CD8 T cells in vivo

This paper, published in 2000, received 1.3k indexed citations . Written by Kimberly S. Schluns, William C. Kieper, Stephen C. Jameson and Leo Lefrançois covering the research area of Immunology. It is primarily cited by scholars working on Immunology (1.2k citations), Oncology (282 citations) and Epidemiology (125 citations). Published in Nature Immunology.

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/10.1038/80868.

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