Two subsets of memory T lymphocytes with distinct homing potentials and effector functions
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In The Last Decade
doi.org/10.1038/44385 →Countries where authors are citing Two subsets of memory T lymphocytes with distinct homing potentials and effector functions
This map shows the geographic impact of Two subsets of memory T lymphocytes with distinct homing potentials and effector functions. 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 Two subsets of memory T lymphocytes with distinct homing potentials and effector functions with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Two subsets of memory T lymphocytes with distinct homing potentials and effector functions more than expected).
Fields of papers citing Two subsets of memory T lymphocytes with distinct homing potentials and effector functions
This network shows the impact of Two subsets of memory T lymphocytes with distinct homing potentials and effector functions. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Two subsets of memory T lymphocytes with distinct homing potentials and effector functions.
About Two subsets of memory T lymphocytes with distinct homing potentials and effector functions
This paper, published in 1999, received 4.6k indexed citations . Written by Federica Sallusto, Danielle Lenig, Reinhold Förster, Martin Lipp and Antonio Lanzavecchia covering the research area of Immunology. It is primarily cited by scholars working on Immunology (4.0k citations), Oncology (944 citations) and Epidemiology (657 citations). Published in Nature.
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/10.1038/44385.