Particle and Fibre Toxicology

855 papers and 60.2k indexed citations i.

About

The 855 papers published in Particle and Fibre Toxicology in the last decades have received a total of 60.2k indexed citations. Papers published in Particle and Fibre Toxicology usually cover Health, Toxicology and Mutagenesis (514 papers), Materials Chemistry (317 papers) and Pulmonary and Respiratory Medicine (175 papers) specifically the topics of Air Quality and Health Impacts (459 papers), Nanoparticles: synthesis and applications (297 papers) and Climate Change and Health Impacts (136 papers). The most active scholars publishing in Particle and Fibre Toxicology are Vincent Castranova, Ken Donaldson, Wolfgang G. Kreyling, Marianne Geiser, Rodger Duffin, Ulla Vogel, Flemming R. Cassee, Vicki Stone, Hongbo Shi and Jinshun Zhao.

In The Last Decade

Fields of papers published in Particle and Fibre Toxicology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Particle and Fibre Toxicology. 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 Particle and Fibre Toxicology.

Countries where authors publish in Particle and Fibre Toxicology

Since Specialization
Citations

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