Genetic basis and molecular mechanism for idiopathic ventricular fibrillation
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In The Last Decade
doi.org/10.1038/32675 →Countries where authors are citing Genetic basis and molecular mechanism for idiopathic ventricular fibrillation
This map shows the geographic impact of Genetic basis and molecular mechanism for idiopathic ventricular fibrillation. 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 Genetic basis and molecular mechanism for idiopathic ventricular fibrillation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genetic basis and molecular mechanism for idiopathic ventricular fibrillation more than expected).
Fields of papers citing Genetic basis and molecular mechanism for idiopathic ventricular fibrillation
This network shows the impact of Genetic basis and molecular mechanism for idiopathic ventricular fibrillation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Genetic basis and molecular mechanism for idiopathic ventricular fibrillation.
About Genetic basis and molecular mechanism for idiopathic ventricular fibrillation
This paper, published in 1998, received 1.2k indexed citations . Written by Qiuyun Chen, Glenn E. Kirsch, Danmei Zhang, Josép Brugada, Pedro Brugada, Domenico Potenza, Andrés Moyá, Martin Borggrefe, Günter Breithardt and Rocío Ortiz‐López covering the research area of Molecular Biology and Cardiology and Cardiovascular Medicine. It is primarily cited by scholars working on Cardiology and Cardiovascular Medicine (1.2k citations), Molecular Biology (983 citations) and Cellular and Molecular Neuroscience (128 citations). Published in Nature.
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/10.1038/32675.