Archivum Immunologiae et Therapiae Experimentalis · 1×
×1.06k/6kIMMUN
×0.9297/339BP
×1.03k/3kONCOL
×1.52k/1kID
×0.91k/2kCR
Citations per year
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Countries where authors publish in Immune Network
Since Specialization
Citations
This map shows the geographic impact of research published in Immune Network. 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 Immune Network with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Immune Network more than expected).
This network shows the impact of papers published in Immune Network. 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 Immune Network.
About Immune Network
The 811 papers published in Immune Network in the last decades have received a total of 16.9k indexed citations . Papers published in Immune Network usually cover Immunology (472 papers), Immunology and Allergy (33 papers), Oncology (137 papers), Infectious Diseases (90 papers) and Cancer Research (49 papers) specifically the topics of Immune Cell Function and Interaction (222 papers), Immunotherapy and Immune Responses (142 papers), T-cell and B-cell Immunology (137 papers), Immune Response and Inflammation (78 papers), Immune cells in cancer (47 papers), Asthma and respiratory diseases (44 papers), IL-33, ST2, and ILC Pathways (42 papers) and CAR-T cell therapy research (39 papers). The most active scholars publishing in Immune Network are Tai-You Ha, Dong Hyun Sohn, Jong Seong Roh, Chang H. Kim, Chang-Won Hong, Myunghoo Kim, Jeongho Park, Young‐Su Yi, Sujin Lee and Minh-Thuy Nguyen.
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.