Autoimmunity Reviews

3.1k papers and 139.7k indexed citations i.

About

The 3.1k papers published in Autoimmunity Reviews in the last decades have received a total of 139.7k indexed citations. Papers published in Autoimmunity Reviews usually cover Rheumatology (1.3k papers), Immunology (1.2k papers) and Pathology and Forensic Medicine (532 papers) specifically the topics of Systemic Lupus Erythematosus Research (888 papers), T-cell and B-cell Immunology (436 papers) and Monoclonal and Polyclonal Antibodies Research (327 papers). The most active scholars publishing in Autoimmunity Reviews are Yehuda Shoenfeld, M. Eric Gershwin, Ricard Cervera, Pierre Miossec, Gisele Zandman‐Goddard, Andrea T. Borchers, Juan‐Manuel Anaya, Marvin J. Fritzler, Sabine Oertelt‐Prigione and Ron Milo.

In The Last Decade

Fields of papers published in Autoimmunity Reviews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Autoimmunity Reviews. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Autoimmunity Reviews.

Countries where authors publish in Autoimmunity Reviews

Since Specialization
Citations

This map shows the geographic impact of research published in Autoimmunity Reviews. 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 papers published in Autoimmunity Reviews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Autoimmunity Reviews more than expected).

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.

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