Features of systemic lupus erythematosus in Dnase1-deficient mice

623 indexed citations
published 2000

Countries where authors are citing Features of systemic lupus erythematosus in Dnase1-deficient mice

Specialization
Citations

This map shows the geographic impact of Features of systemic lupus erythematosus in Dnase1-deficient mice. 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 Features of systemic lupus erythematosus in Dnase1-deficient mice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Features of systemic lupus erythematosus in Dnase1-deficient mice more than expected).

Fields of papers citing Features of systemic lupus erythematosus in Dnase1-deficient mice

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Features of systemic lupus erythematosus in Dnase1-deficient mice. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Features of systemic lupus erythematosus in Dnase1-deficient mice.

About Features of systemic lupus erythematosus in Dnase1-deficient mice

This paper, published in 2000, received 623 indexed citations . Written by Markus Napirei, Holger Karsunky, Branko Zevnik, Harald Stephan, Hans Georg Mannherz and Tarik Möröy covering the research area of Immunology, Rheumatology and Radiology, Nuclear Medicine and Imaging. It is primarily cited by scholars working on Immunology (478 citations), Molecular Biology (218 citations) and Rheumatology (185 citations). Published in Nature Genetics.

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/10.1038/76032.

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