Interleukin-10 determines viral clearance or persistence in vivo
Impact in
- Immunology 464
- Epidemiology 217
Classified as
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm1492 →Countries where authors are citing Interleukin-10 determines viral clearance or persistence in vivo
This map shows the geographic impact of Interleukin-10 determines viral clearance or persistence in vivo. 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 Interleukin-10 determines viral clearance or persistence in vivo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Interleukin-10 determines viral clearance or persistence in vivo more than expected).
Fields of papers citing Interleukin-10 determines viral clearance or persistence in vivo
This network shows the impact of Interleukin-10 determines viral clearance or persistence in vivo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Interleukin-10 determines viral clearance or persistence in vivo.
About Interleukin-10 determines viral clearance or persistence in vivo
This paper, published in 2006, received 757 indexed citations . Written by David G. Brooks, Matthew J. Trifilo, Kurt H. Edelmann, Luc Teyton, Dorian B. McGavern and Michael B. A. Oldstone covering the research area of Immunology and Epidemiology. It is primarily cited by scholars working on Immunology (464 citations), Epidemiology (217 citations), Infectious Diseases (143 citations), Oncology (107 citations) and Hepatology (68 citations). Published in Nature Medicine.
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.
This paper is also available at doi.org/10.1038/nm1492.