Computational Toxicology
metrics 2024
Exploring cutting-edge methodologies in toxicological science.
Introduction
Computational Toxicology is a premier journal published by Elsevier, dedicated to advancing the field of computational approaches in toxicological research. With an ISSN of 2468-1113, this journal provides a platform for researchers and professionals to share their innovative studies and methodologies from 2017 through 2024, promoting insightful discourse in essential areas such as computer science applications and toxicology. Recognized for its rigor and impact, it currently holds a Q2 ranking across various categories, including Computer Science Applications, Health, Toxicology and Mutagenesis, and Toxicology, highlighting its significance in the academic community. The journal is indexed in Scopus, boasting notable ranks including #284/817 in Computer Science Applications and #58/148 in Health, Toxicology and Mutagenesis, demonstrating its vital contribution to addressing contemporary challenges in environmental health and pharmacology. While it is not an open access journal, Computational Toxicology offers valuable insights for students, researchers, and practitioners striving to leverage computational frameworks to enhance the safety and efficacy of substances in human health and the environment.
Metrics 2024
Metrics History
Rank 2024
Scopus
IF (Web Of Science)
JCI (Web Of Science)
Quartile History
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