Quantitative Structure-toxicity Relationships

Quantitative Structure-Toxicity Relationships is a computational modeling approach that establishes a predictive relationship between the molecular structure of chemical compounds and their toxicological effects through quantitative descriptors.

818

Publications

42.1K

Citations

2.2K

Authors

760

Institutions

Publications per year

2017–2026

163

Variants

Qstr

Authors

2.2K

  1. KR
    Kunal Roy

    Jadavpur University, India

    37 publications · 1.8K citations

    27

    h-index

  2. MC
    M Cronin

    Liverpool John Moores University, United Kingdom

    35 publications · 2.1K citations

    26

    h-index

  3. TS
    T.W. Schultz

    University of Tennessee at Knoxville, United States

    33 publications · 1.6K citations

    24

    h-index

  4. EB
    Emilio Benfenati

    Mario Negri Institute for Pharmacological Research, Italy

    34 publications · 1.4K citations

    23

    h-index

  5. AA
    Andrey A. Toropov

    Mario Negri Institute for Pharmacological Research, Italy

    27 publications · 1.1K citations

    23

    h-index

1–5 of 2.2K

Venues

  1. Chemosphere

    69 publications · 2.9K citations

    35

    h-index

  2. Environmental Toxicology and Chemistry

    61 publications · 2.2K citations

    29

    h-index

  3. SAR and QSAR in environmental research

    66 publications · 1.9K citations

    28

    h-index

  4. Chemical Research in Toxicology

    30 publications · 2K citations

    26

    h-index

  5. Ecotoxicology and Environmental Safety

    EES · 29 publications · 1.5K citations

    21

    h-index

1–5