Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis
Impact in
- Immunology 452
- Neurology 294
Classified as
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm1197 →Countries where authors are citing Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis
This map shows the geographic impact of Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis. 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 Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis more than expected).
Fields of papers citing Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis
This network shows the impact of Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis.
About Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis
This paper, published in 2005, received 704 indexed citations . Written by Melanie Greter, Frank L. Heppner, Maria P. Lemos, Bernhard Odermatt, Norbert Goebels, Terri M. Laufer, Randolph J. Noelle and Burkhard Becher covering the research area of Immunology. It is primarily cited by scholars working on Immunology (452 citations), Neurology (294 citations), Pathology and Forensic Medicine (158 citations), Molecular Biology (108 citations) and Oncology (84 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/nm1197.