Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development
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In The Last Decade
doi.org/10.1038/31269 →Countries where authors are citing Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development
This map shows the geographic impact of Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development. 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 Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development more than expected).
Fields of papers citing Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development
This network shows the impact of Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development.
About Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development
This paper, published in 1998, received 2.0k indexed citations . Written by Yong-Rui Zou, Andreas H. Kottmann, Masahiko Kuroda, Ichiro Taniuchi and Dan R. Littman covering the research area of Virology, Neurology and Immunology. It is primarily cited by scholars working on Oncology (1.3k citations), Immunology (1.2k citations) and Molecular Biology (490 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/10.1038/31269.