Alternatives to Laboratory Animals

1.6k papers and 19.8k indexed citations i.

About

The 1.6k papers published in Alternatives to Laboratory Animals in the last decades have received a total of 19.8k indexed citations. Papers published in Alternatives to Laboratory Animals usually cover Small Animals (699 papers), Molecular Biology (312 papers) and Health, Toxicology and Mutagenesis (261 papers) specifically the topics of Animal testing and alternatives (666 papers), Computational Drug Discovery Methods (152 papers) and Carcinogens and Genotoxicity Assessment (144 papers). The most active scholars publishing in Alternatives to Laboratory Animals are Michael Balls, Robert D. Combes, Horst Spielmann, Jarrod Bailey, Joanna Jaworska, Nina Jeliazkova, Tom Aldenberg, Mark T.D. Cronin, Thomas Härtung and Andrew Knight.

In The Last Decade

Fields of papers published in Alternatives to Laboratory Animals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Alternatives to Laboratory Animals. 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 Alternatives to Laboratory Animals.

Countries where authors publish in Alternatives to Laboratory Animals

Since Specialization
Citations

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