Journal of Toxicologic Pathology

1.0k papers and 7.1k indexed citations i.

About

The 1.0k papers published in Journal of Toxicologic Pathology in the last decades have received a total of 7.1k indexed citations. Papers published in Journal of Toxicologic Pathology usually cover Molecular Biology (325 papers), Cancer Research (168 papers) and Oncology (137 papers) specifically the topics of Carcinogens and Genotoxicity Assessment (125 papers), Immunotoxicology and immune responses (59 papers) and Mechanisms of Drug-Induced Hepatotoxicity (50 papers). The most active scholars publishing in Journal of Toxicologic Pathology are Satoshi Furukawa, Akihiko Sugiyama, Kunio Doi, Yusuke Kuroda, John Curtis Seely, Robert R. Maronpot, Xiaodong Xie, Ying Piao, Jyoji Yamate and Yunen Liu.

In The Last Decade

Fields of papers published in Journal of Toxicologic Pathology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Toxicologic Pathology. 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 Toxicologic Pathology.

Countries where authors publish in Journal of Toxicologic Pathology

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Toxicologic Pathology. 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 Toxicologic Pathology 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 Toxicologic Pathology 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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