Structure of the human class I histocompatibility antigen, HLA-A2
Impact in
- Immunology 2.1k
Classified as
- Journal
- Nature
In The Last Decade
doi.org/10.1038/329506a0 →Countries where authors are citing Structure of the human class I histocompatibility antigen, HLA-A2
This map shows the geographic impact of Structure of the human class I histocompatibility antigen, HLA-A2. 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 Structure of the human class I histocompatibility antigen, HLA-A2 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Structure of the human class I histocompatibility antigen, HLA-A2 more than expected).
Fields of papers citing Structure of the human class I histocompatibility antigen, HLA-A2
This network shows the impact of Structure of the human class I histocompatibility antigen, HLA-A2. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Structure of the human class I histocompatibility antigen, HLA-A2.
About Structure of the human class I histocompatibility antigen, HLA-A2
This paper, published in 1987, received 2.9k indexed citations . Written by Pamela J. Björkman, Mark A. Saper, Boudjéma Samraoui, William S. Bennett, Jack L. Strominger and Don C. Wiley covering the research area of Radiology, Nuclear Medicine and Imaging and Immunology. It is primarily cited by scholars working on Immunology (2.1k citations), Molecular Biology (809 citations), Radiology, Nuclear Medicine and Imaging (570 citations), Genetics (282 citations) and Epidemiology (222 citations). Published in Nature.
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/10.1038/329506a0.