Simple Sequence Repeat Analysis

Simple Sequence Repeat Analysis is a computational method in genomics that identifies and characterizes tandemly repeated DNA sequences of short nucleotide motifs to assess genetic variation and genome structure.

3.6K

Publications

193.9K

Citations

15.5K

Authors

2.8K

Institutions

Publications per year

2017–2026

815

Variants

Ssr Analysis

Authors

15.5K

  1. RK
    Rajeev K. Varshney

    International Crops Research Institute for the Semi-Arid Tropics, India

    33 publications · 2.2K citations

    26

    h-index

  2. TY
    Toshiya Yamamoto

    Institute of Fruit Tree and Tea Science, Japan

    23 publications · 1.2K citations

    19

    h-index

  3. SK
    Stephen Kresovich

    Cornell University, United States

    16 publications · 1.8K citations

    16

    h-index

  4. PB
    Perry B. Cregan

    Agricultural Research Service, United States

    17 publications · 3.3K citations

    16

    h-index

  5. AE
    Albrecht E. Melchinger

    University of Hohenheim, Germany

    15 publications · 1.7K citations

    15

    h-index

1–5 of 15.5K

Venues

  1. Theoretical and Applied Genetics

    90 publications · 11.8K citations

    60

    h-index

  2. Crop Science

    175 publications · 11.2K citations

    59

    h-index

  3. Genome

    113 publications · 8.9K citations

    55

    h-index

  4. BMC Genomics

    80 publications · 6K citations

    47

    h-index

  5. PLoS ONE

    135 publications · 7K citations

    47

    h-index

1–5