Autoimmune Technologies (United States)

19.7k citations
365 papers ·

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 66
    • Immunotherapy and Immune Responses 65
    • Immune Cell Function and Interaction 57
    • Immune Response and Inflammation 14
    • HIV Research and Treatment 17

Autoimmune Technologies (United States)

324 papers receiving 17.7k citations

Peers

Autoimmune Technologies (United States)
Comparison fields: 5 of 179
  • Virology 2.0k
  • Immunology 8.4k
  • Rheumatology 2.4k
  • Hepatology 1.1k
  • Epidemiology 2.8k
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Autoimmune Technologies (United States) relative to Arkana Laboratories United States Arkana Laboratories's profile →
Citations per field
00.5×10×20×30×40×46.4×
Arkana Laboratories · 1×
Citations per year

Countries citing scholars working at Autoimmune Technologies (United States)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Autoimmune Technologies (United States). 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 produced at Autoimmune Technologies (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Autoimmune Technologies (United States) more than expected).

Fields of papers published by authors at Autoimmune Technologies (United States)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Autoimmune Technologies (United States) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Autoimmune Technologies (United States) at the time of their publication.

About Autoimmune Technologies (United States)

In recent decades, authors affiliated with Autoimmune Technologies (United States) have published 365 papers, which have received a total of 19.7k indexed citations . Scholars at this organization have produced 144 papers in Immunology, 17 papers in Virology, 49 papers in Rheumatology, 16 papers in Hepatology and 33 papers in Pathology and Forensic Medicine on the topics of T-cell and B-cell Immunology (66 papers), Immunotherapy and Immune Responses (65 papers), Immune Cell Function and Interaction (57 papers), Systemic Lupus Erythematosus Research (37 papers), Monoclonal and Polyclonal Antibodies Research (27 papers), vaccines and immunoinformatics approaches (18 papers), HIV Research and Treatment (17 papers) and Immune Response and Inflammation (14 papers). Their work is cited by papers focused on Virology (2.0k citations), Immunology (8.4k citations), Rheumatology (2.4k citations), Hepatology (1.1k citations) and Epidemiology (2.8k citations). Authors at Autoimmune Technologies (United States) collaborate with scholars in United States, Italy and Canada and have published in prestigious journals including The Journal of Immunology, Journal of Virology, Journal of Clinical Investigation, American Journal of Respiratory and Critical Care Medicine and Annals of the New York Academy of Sciences. Some of Autoimmune Technologies (United States)'s most productive authors include Alessandro Sette, John Sidney, Richard K. Burt, Yehuda Shoenfeld, Scott Southwood, Peter E. Lipsky, Gabor G. Illei, Cheryl Yarboro, John Fikes and Robert W. Chesnut.

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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