A novel influenza A virus mitochondrial protein that induces cell death
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm1201-1306 →Countries where authors are citing A novel influenza A virus mitochondrial protein that induces cell death
This map shows the geographic impact of A novel influenza A virus mitochondrial protein that induces cell death. 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 A novel influenza A virus mitochondrial protein that induces cell death with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A novel influenza A virus mitochondrial protein that induces cell death more than expected).
Fields of papers citing A novel influenza A virus mitochondrial protein that induces cell death
This network shows the impact of A novel influenza A virus mitochondrial protein that induces cell death. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A novel influenza A virus mitochondrial protein that induces cell death.
About A novel influenza A virus mitochondrial protein that induces cell death
This paper, published in 2001, received 791 indexed citations . Written by Weisan Chen, Paul A. Calvo, Daniela Malide, James S. Gibbs, Ulrich S. Schubert, Igor Bačík, Sameh Basta, Robert O’Neill, Jeanne H. Schickli and Peter Palese covering the research area of Epidemiology and Immunology. It is primarily cited by scholars working on Epidemiology (647 citations), Immunology (354 citations) and Molecular Biology (250 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/nm1201-1306.