Asthma phenotypes: the evolution from clinical to molecular approaches
Impact in
- Physiology 1.2k
Classified as
- Authors
- Sally E. Wenzel
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm.2678 →Countries where authors are citing Asthma phenotypes: the evolution from clinical to molecular approaches
This map shows the geographic impact of Asthma phenotypes: the evolution from clinical to molecular approaches. 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 Asthma phenotypes: the evolution from clinical to molecular approaches with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asthma phenotypes: the evolution from clinical to molecular approaches more than expected).
Fields of papers citing Asthma phenotypes: the evolution from clinical to molecular approaches
This network shows the impact of Asthma phenotypes: the evolution from clinical to molecular approaches. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Asthma phenotypes: the evolution from clinical to molecular approaches.
About Asthma phenotypes: the evolution from clinical to molecular approaches
This paper, published in 2012, received 1.7k indexed citations . Written by Sally E. Wenzel covering the research area of Immunology, Physiology and Surgery. It is primarily cited by scholars working on Physiology (1.2k citations), Pulmonary and Respiratory Medicine (542 citations), Immunology (454 citations), Immunology and Allergy (184 citations) and Surgery (155 citations). Published in Nature Medicine.
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/nm.2678.