Autoimmunity Reviews
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 SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Autoimmunity Reviews. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Autoimmunity Reviews
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Autoimmunity Reviews. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Autoimmunity Reviews with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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