Computational Toxicology

Computational Toxicology is a scientific discipline within computational medicinal chemistry that employs computational methods to predict the potential of chemical substances to cause adverse effects in biological systems, distinguishing it from related fields by its focus on hazard identification and mechanistic modeling of toxicity endpoints.

1.9K

Publications

102.8K

Citations

6.2K

Authors

1.8K

Institutions

Publications per year

2017–2026

884

Authors

6.2K

  1. EB
    Emilio Benfenati

    Mario Negri Institute for Pharmacological Research, Italy

    83 publications · 5.2K citations

    35

    h-index

  2. MC
    M Cronin

    Liverpool John Moores University, United Kingdom

    57 publications · 2.5K citations

    33

    h-index

  3. KR
    Kunal Roy

    Jadavpur University, India

    39 publications · 1.8K citations

    27

    h-index

  4. YT
    Yun Tang

    East China University of Science and Technology, China

    27 publications · 1.8K citations

    23

    h-index

  5. WL
    Weihua Li

    East China University of Science and Technology, China

    26 publications · 1.6K citations

    22

    h-index

1–5 of 6.2K

Venues

  1. Chemical Research in Toxicology

    97 publications · 5.2K citations

    42

    h-index

  2. Journal of Chemical Information and Modeling

    JCIM · 82 publications · 6K citations

    40

    h-index

  3. SAR and QSAR in environmental research

    116 publications · 4K citations

    35

    h-index

  4. Environmental Science & Technology

    46 publications · 3.1K citations

    34

    h-index

  5. Chemosphere

    60 publications · 2.1K citations

    28

    h-index

1–5