Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices
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- Nature Biotechnology
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doi.org/10.1038/9858 →Countries where authors are citing Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices
This map shows the geographic impact of Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices. 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 Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices more than expected).
Fields of papers citing Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices
This network shows the impact of Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices.
About Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices
This paper, published in 1999, received 606 indexed citations . Written by Tiziana Sturniolo, Elisa Bono, Jiayi Ding, Laura Raddrizzani, Oezlem Tuereci, Uğur Şahin, Michael Braxenthaler, Fabio Gallazzi, Maria Pia Protti and Francesco Sinigaglia covering the research area of Molecular Biology and Radiology, Nuclear Medicine and Imaging. It is primarily cited by scholars working on Molecular Biology (432 citations), Immunology (366 citations) and Radiology, Nuclear Medicine and Imaging (206 citations). Published in Nature Biotechnology.
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/10.1038/9858.