Virus dynamics: Mathematical principles of immunology and virology

731 indexed citations
published 2001
Journal
Medical Entomology and Zoology

In The Last Decade

doi.org/w54022188 →

Countries where authors are citing Virus dynamics: Mathematical principles of immunology and virology

Specialization
Citations

This map shows the geographic impact of Virus dynamics: Mathematical principles of immunology and virology. 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 Virus dynamics: Mathematical principles of immunology and virology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virus dynamics: Mathematical principles of immunology and virology more than expected).

Fields of papers citing Virus dynamics: Mathematical principles of immunology and virology

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Virus dynamics: Mathematical principles of immunology and virology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Virus dynamics: Mathematical principles of immunology and virology.

About Virus dynamics: Mathematical principles of immunology and virology

This paper, published in 2001, received 731 indexed citations . Written by Martin A. Nowak and Robert M. May covering the research area of Hepatology, Biomedical Engineering and Public Health, Environmental and Occupational Health. It is primarily cited by scholars working on Public Health, Environmental and Occupational Health (378 citations), Virology (275 citations) and Genetics (240 citations). Published in Medical Entomology and Zoology.

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/w54022188.

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