Isolation of novel virus-like sequences associated with human hepatitis

923 indexed citations
published 1995

Countries where authors are citing Isolation of novel virus-like sequences associated with human hepatitis

Specialization
Citations

This map shows the geographic impact of Isolation of novel virus-like sequences associated with human hepatitis. 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 Isolation of novel virus-like sequences associated with human hepatitis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isolation of novel virus-like sequences associated with human hepatitis more than expected).

Fields of papers citing Isolation of novel virus-like sequences associated with human hepatitis

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Isolation of novel virus-like sequences associated with human hepatitis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Isolation of novel virus-like sequences associated with human hepatitis.

About Isolation of novel virus-like sequences associated with human hepatitis

This paper, published in 1995, received 923 indexed citations . Written by John N. Simons, Thomas P. Leary, George J. Dawson, Edward Tam, A. Scott Muerhoff, George G. Schlauder, Suresh M. Desai and Isa K. Mushahwar covering the research area of Epidemiology and Hepatology. It is primarily cited by scholars working on Hepatology (762 citations), Epidemiology (754 citations) and Infectious Diseases (177 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/nm0695-564.

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