Candidate Gene Mining

Candidate Gene Mining is a targeted molecular genetic approach that identifies and characterizes specific genes exhibiting allelic variation associated with a trait of interest by leveraging prior knowledge of gene function, pathway involvement, or sequence homology within a defined population.

374

Publications

21.3K

Citations

2.8K

Authors

984

Institutions

Publications per year

2017–2026

138

Authors

2.8K

  1. JX
    Jiucheng Xu

    Henan Normal University, China

    4 publications · 170 citations

    4

    h-index

  2. EV
    E. Venturelli

    University of Milan, Italy

    3 publications · 43 citations

    3

    h-index

  3. JZ
    Jinfa Zhang

    New Mexico State University, United States

    3 publications · 156 citations

    3

    h-index

  4. LS
    Lin Sun

    Henan Normal University, China

    3 publications · 140 citations

    3

    h-index

  5. ES
    Elio Scarpini

    University of Milan, Italy

    3 publications · 43 citations

    3

    h-index

1–5 of 2.8K

Venues

  1. Theoretical and Applied Genetics

    25 publications · 1.3K citations

    20

    h-index

  2. PLoS ONE

    19 publications · 933 citations

    16

    h-index

  3. BMC Genomics

    15 publications · 838 citations

    14

    h-index

  4. Nucleic Acids Research

    10 publications · 1.2K citations

    10

    h-index

  5. Molecular Breeding

    8 publications · 209 citations

    8

    h-index

1–5