Mixed Genetic Models

Mixed Genetic Models is a statistical framework in segregation analysis that integrates both Mendelian and non-Mendelian inheritance patterns within a single model to account for genetic heterogeneity in the transmission of traits.

361

Publications

22.2K

Citations

1.5K

Authors

518

Institutions

Publications per year

2017–2026

82

Authors

1.5K

  1. DC
    D. C. Rao

    Washington University in St. Louis, United States

    10 publications · 362 citations

    10

    h-index

  2. HP
    Hans‐Peter Piepho

    University of Hohenheim, Germany

    8 publications · 962 citations

    8

    h-index

  3. MD
    Marcos Deon Vilela de Resende

    Universidade Federal de Viçosa, Brazil

    7 publications · 223 citations

    7

    h-index

  4. FA
    Fred A. van Eeuwijk

    Wageningen University & Research, Netherlands

    6 publications · 873 citations

    6

    h-index

  5. GP
    George P. Vogler

    Pennsylvania State University, United States

    6 publications · 234 citations

    6

    h-index

1–5 of 1.5K

Venues

  1. Genetics

    14 publications · 1.2K citations

    14

    h-index

  2. Genetic Epidemiology

    22 publications · 696 citations

    14

    h-index

  3. Crop Science

    13 publications · 948 citations

    12

    h-index

  4. Crop Breeding and Applied Biotechnology

    11 publications · 215 citations

    11

    h-index

  5. Genetics and Molecular Research

    11 publications · 247 citations

    10

    h-index

1–5