CD8+ T-cell responses to adeno-associated virus capsid in humans
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm1549 →Countries where authors are citing CD8+ T-cell responses to adeno-associated virus capsid in humans
This map shows the geographic impact of CD8+ T-cell responses to adeno-associated virus capsid in humans. 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 CD8+ T-cell responses to adeno-associated virus capsid in humans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CD8+ T-cell responses to adeno-associated virus capsid in humans more than expected).
Fields of papers citing CD8+ T-cell responses to adeno-associated virus capsid in humans
This network shows the impact of CD8+ T-cell responses to adeno-associated virus capsid in humans. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the CD8+ T-cell responses to adeno-associated virus capsid in humans.
About CD8+ T-cell responses to adeno-associated virus capsid in humans
This paper, published in 2007, received 573 indexed citations . Written by Federico Mingozzi, Marcela V. Maus, Daniel J. Hui, Denise E. Sabatino, Samuel L. Murphy, John E.J. Rasko, Margaret V. Ragni, Catherine S. Manno, Jürg M. Sommer and Haiyan Jiang covering the research area of Genetics, Oncology and Epidemiology. It is primarily cited by scholars working on Genetics (475 citations), Molecular Biology (433 citations) and Oncology (199 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/nm1549.