Two populations of Ia-like molecules on a human B cell line.
Impact in
- Immunology 815
Classified as
- Authors
- L A LampsonRonald Levy
- Journal
- The Journal of Immunology
In The Last Decade
doi.org/10.4049/jimmunol.125.1.293 →Countries where authors are citing Two populations of Ia-like molecules on a human B cell line.
This map shows the geographic impact of Two populations of Ia-like molecules on a human B cell line.. 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 Two populations of Ia-like molecules on a human B cell line. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Two populations of Ia-like molecules on a human B cell line. more than expected).
Fields of papers citing Two populations of Ia-like molecules on a human B cell line.
This network shows the impact of Two populations of Ia-like molecules on a human B cell line.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Two populations of Ia-like molecules on a human B cell line..
About Two populations of Ia-like molecules on a human B cell line.
This paper, published in 1980, received 1.1k indexed citations . Written by L A Lampson and Ronald Levy covering the research area of Radiology, Nuclear Medicine and Imaging and Immunology. It is primarily cited by scholars working on Immunology (815 citations), Radiology, Nuclear Medicine and Imaging (428 citations), Molecular Biology (212 citations), Oncology (100 citations) and Immunology and Allergy (87 citations). Published in The Journal of Immunology.
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/10.4049/jimmunol.125.1.293.