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 838 papers published in Immune Network in the last decades have received a total of 18.8k indexed citations . Papers published in Immune Network usually cover Immunology (228 papers), Rheumatology (29 papers), Oncology (43 papers), Infectious Diseases (40 papers) and Immunology and Allergy (9 papers) specifically the topics of T-cell and B-cell Immunology (88 papers), Immunotherapy and Immune Responses (52 papers), SARS-CoV-2 and COVID-19 Research (26 papers), Cancer Immunotherapy and Biomarkers (20 papers), Asthma and respiratory diseases (17 papers), Rheumatoid Arthritis Research and Therapies (16 papers), Immune Response and Inflammation (15 papers) and Inflammasome and immune disorders (15 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 Eui-Cheol Shin.
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.