Veterinary Microbiology

10.2k papers and 292.7k indexed citations i.

About

The 10.2k papers published in Veterinary Microbiology in the last decades have received a total of 292.7k indexed citations. Papers published in Veterinary Microbiology usually cover Infectious Diseases (3.9k papers), Epidemiology (2.8k papers) and Animal Science and Zoology (2.1k papers) specifically the topics of Viral Diseases in Livestock and Poultry (1.9k papers), Viral gastroenteritis research and epidemiology (1.9k papers) and Microbial infections and disease research (1.8k papers). The most active scholars publishing in Veterinary Microbiology are Ben Adler, Freddy Haesebrouck, D. J. Alexander, Alejandro de la Peña Moctezuma, Xiang‐Jin Meng, J.T. van Oirschot, Joaquím Segalés, L.A. Corner, Nicola Decaro and John F. Prescott.

In The Last Decade

Fields of papers published in Veterinary Microbiology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Veterinary Microbiology. 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 Veterinary Microbiology.

Countries where authors publish in Veterinary Microbiology

Since Specialization
Citations

This map shows the geographic impact of research published in Veterinary Microbiology. 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 Veterinary Microbiology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veterinary Microbiology 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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2025