Genotypic Data Management

Genotypic Data Management is a systematic framework for organizing, storing, retrieving, and analyzing genotype-specific information within plant genetic resource documentation, distinguished by its focus on the molecular characterization and genetic variation data of plant accessions.

232

Publications

18.9K

Citations

1.5K

Authors

506

Institutions

Publications per year

2017–2026

76

Authors

1.5K

  1. GS
    Guilhem Sempéré

    Centre de Coopération Internationale en Recherche Agronomique pour le Développement, France

    6 publications · 302 citations

    6

    h-index

  2. CP
    Cameron Peace

    Washington State University, United States

    6 publications · 395 citations

    6

    h-index

  3. DM
    Dorrie Main

    Washington State University, United States

    6 publications · 690 citations

    6

    h-index

  4. LA
    Lukas A. Mueller

    Cornell University, United States

    6 publications · 1.2K citations

    6

    h-index

  5. SJ
    Sook Jung

    Washington State University, United States

    6 publications · 690 citations

    6

    h-index

1–5 of 1.5K

Venues

  1. Nucleic Acids Research

    19 publications · 3.6K citations

    19

    h-index

  2. Theoretical and Applied Genetics

    13 publications · 979 citations

    13

    h-index

  3. Database

    10 publications · 308 citations

    10

    h-index

  4. Genetic Resources and Crop Evolution

    7 publications · 218 citations

    7

    h-index

  5. Bioinformatics

    7 publications · 378 citations

    7

    h-index

1–5