Intercellular Adhesion Molecule-1 (ICAM-1) in the Pathogenesis of asthma
Impact in
- Physiology 386
Classified as
- Journal
- Science
In The Last Decade
doi.org/10.1126/science.1967851 →Countries where authors are citing Intercellular Adhesion Molecule-1 (ICAM-1) in the Pathogenesis of asthma
This map shows the geographic impact of Intercellular Adhesion Molecule-1 (ICAM-1) in the Pathogenesis of asthma. 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 Intercellular Adhesion Molecule-1 (ICAM-1) in the Pathogenesis of asthma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Intercellular Adhesion Molecule-1 (ICAM-1) in the Pathogenesis of asthma more than expected).
Fields of papers citing Intercellular Adhesion Molecule-1 (ICAM-1) in the Pathogenesis of asthma
This network shows the impact of Intercellular Adhesion Molecule-1 (ICAM-1) in the Pathogenesis of asthma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Intercellular Adhesion Molecule-1 (ICAM-1) in the Pathogenesis of asthma.
About Intercellular Adhesion Molecule-1 (ICAM-1) in the Pathogenesis of asthma
This paper, published in 1990, received 815 indexed citations . Written by Craig D. Wegner, Robert H. Gundel, Patricia L. Reilly, Nancy Haynes, L. Gordon Letts and Robert Rothlein covering the research area of Dermatology, Pulmonary and Respiratory Medicine and Physiology. It is primarily cited by scholars working on Physiology (386 citations), Immunology and Allergy (346 citations), Immunology (275 citations), Pulmonary and Respiratory Medicine (189 citations) and Molecular Biology (102 citations). Published in Science.
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/10.1126/science.1967851.