Lysosomal Glycosphingolipid Recognition by NKT Cells

780 indexed citations

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This paper, published in 2004, received 780 indexed citations. Written by Dapeng Zhou, Jochen Mattner, Carlos Cantu, Nicolas Schrantz, Ning Yin, Ying Gao, Yuval Sagiv, Kelly Hudspeth, Tadashi Yamashita and Susann Teneberg covering the research area of Immunology and Hematology. It is primarily cited by scholars working on Immunology (681 citations), Molecular Biology (125 citations) and Oncology (119 citations). Published in Science.

Countries where authors are citing Lysosomal Glycosphingolipid Recognition by NKT Cells

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This map shows the geographic impact of Lysosomal Glycosphingolipid Recognition by NKT 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 Lysosomal Glycosphingolipid Recognition by NKT Cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lysosomal Glycosphingolipid Recognition by NKT Cells more than expected).

Fields of papers citing Lysosomal Glycosphingolipid Recognition by NKT Cells

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Lysosomal Glycosphingolipid Recognition by NKT Cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Lysosomal Glycosphingolipid Recognition by NKT 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/10.1126/science.1103440.

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