Quantitative Structure-activity Relationships

Quantitative Structure-Activity Relationships is a computational methodology within drug design that employs mathematical models to correlate the structural and physicochemical properties of chemical compounds with their biological activities, distinguishing it from qualitative approaches by providing predictive, numerical assessments of activity based on molecular descriptors.

11.3K

Publications

561.1K

Citations

33.4K

Authors

5.2K

Institutions

Publications per year

2017–2026

3.2K

Authors

33.4K

  1. AT
    Alexander Tropsha

    University of North Carolina at Chapel Hill, United States

    66 publications · 12.5K citations

    49

    h-index

  2. KR
    Kunal Roy

    Jadavpur University, India

    122 publications · 7.4K citations

    43

    h-index

  3. MC
    M Cronin

    Liverpool John Moores University, United Kingdom

    78 publications · 6.9K citations

    41

    h-index

  4. PG
    Paola Gramatica

    University of Insubria, Italy

    62 publications · 10.9K citations

    39

    h-index

  5. CH
    Corwin Hansch

    Pomona College, United States

    78 publications · 8.5K citations

    37

    h-index

1–5 of 33.4K

Venues

  1. Journal of Medicinal Chemistry

    876 publications · 67K citations

    115

    h-index

  2. 88

    h-index

  3. Journal of Chemical Information and Modeling

    JCIM · 558 publications · 45.3K citations

    87

    h-index

  4. Bioorganic & Medicinal Chemistry

    313 publications · 13.2K citations

    63

    h-index

  5. European Journal of Medicinal Chemistry

    294 publications · 11.6K citations

    56

    h-index

1–5