Expression of intercellular adhesion molecule-1 in atherosclerotic plaques.
Impact in
- Immunology 268
Classified as
- Journal
- PubMed
In The Last Decade
doi.org/w63389589 →Countries where authors are citing Expression of intercellular adhesion molecule-1 in atherosclerotic plaques.
This map shows the geographic impact of Expression of intercellular adhesion molecule-1 in atherosclerotic plaques.. 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 Expression of intercellular adhesion molecule-1 in atherosclerotic plaques. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Expression of intercellular adhesion molecule-1 in atherosclerotic plaques. more than expected).
Fields of papers citing Expression of intercellular adhesion molecule-1 in atherosclerotic plaques.
This network shows the impact of Expression of intercellular adhesion molecule-1 in atherosclerotic plaques.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Expression of intercellular adhesion molecule-1 in atherosclerotic plaques..
About Expression of intercellular adhesion molecule-1 in atherosclerotic plaques.
This paper, published in 1992, received 504 indexed citations . Written by Robin N. Poston, D. O. Haskard, John Coucher and Nicholas Gall covering the research area of Immunology and Allergy, Immunology and Cancer Research. It is primarily cited by scholars working on Immunology (268 citations), Immunology and Allergy (226 citations), Molecular Biology (109 citations), Surgery (102 citations) and Epidemiology (86 citations). Published in PubMed.
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/w63389589.