Journal of Virological Methods

8.3k papers and 175.6k indexed citations i.

About

The 8.3k papers published in Journal of Virological Methods in the last decades have received a total of 175.6k indexed citations. Papers published in Journal of Virological Methods usually cover Infectious Diseases (3.3k papers), Epidemiology (3.1k papers) and Molecular Biology (1.7k papers) specifically the topics of Viral gastroenteritis research and epidemiology (1.7k papers), Viral Diseases in Livestock and Poultry (1.4k papers) and Virus-based gene therapy research (1.3k papers). The most active scholars publishing in Journal of Virological Methods are R. P. Singh, Gilles Boiteau, Jolanta Kurz, Erik De Clercq, Masanori Baba, Xianzhou Nie, Jan Desmyter, Michael A. Whitt, Rudi Pauwels and D. James.

In The Last Decade

Fields of papers published in Journal of Virological Methods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Virological Methods. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Virological Methods.

Countries where authors publish in Journal of Virological Methods

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Virological Methods. 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 papers published in Journal of Virological Methods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Virological Methods more than expected).

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.

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