Journal of Toxicologic Pathology
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 SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Journal of Toxicologic Pathology. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Journal of Toxicologic Pathology
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Journal of Toxicologic Pathology. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Journal of Toxicologic Pathology with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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