Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm0195-39 →Countries where authors are citing Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis
This map shows the geographic impact of Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis. 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 Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis more than expected).
Fields of papers citing Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis
This network shows the impact of Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis.
About Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis
This paper, published in 1995, received 530 indexed citations . Written by Natasha J. Caplen, Eric W.F.W. Alton, Julia R. Dorin, Barbara Stevenson, Xiang Gao, Stephen R. Durham, Peter K. Jeffery, Margaret E. Hodson, Charles Coutelle and Leaf Huang covering the research area of Pulmonary and Respiratory Medicine and Genetics. It is primarily cited by scholars working on Molecular Biology (376 citations), Genetics (228 citations) and Pulmonary and Respiratory Medicine (142 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/nm0195-39.