Repeat Sequence Analysis

Repeat Sequence Analysis is a specialized methodological approach within sequence analysis that identifies, classifies, and interprets recurring patterns or motifs in biological sequences to elucidate their structural, functional, and evolutionary implications.

2.7K

Publications

214.1K

Citations

10.3K

Authors

2.3K

Institutions

Publications per year

2017–2026

279

Authors

10.3K

  1. EH
    Eric H. Davidson

    California Institute of Technology, United States

    23 publications · 1.8K citations

    20

    h-index

  2. RJ
    Roy J. Britten

    California Institute of Technology, United States

    23 publications · 5.5K citations

    20

    h-index

  3. PN
    Pavel Neumann

    Institute of Plant Molecular Biology, Czechia

    17 publications · 3K citations

    16

    h-index

  4. PL
    Prescott L. Deininger

    Louisiana State University, United States

    18 publications · 2.3K citations

    16

    h-index

  5. PN
    Petr Novák

    Institute of Plant Molecular Biology, Czechia

    16 publications · 3.1K citations

    16

    h-index

1–5 of 10.3K

Venues

  1. Nucleic Acids Research

    226 publications · 42K citations

    74

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 78 publications · 9.9K citations

    52

    h-index

  3. Journal of Molecular Biology

    JMB · 76 publications · 5.8K citations

    45

    h-index

  4. Theoretical and Applied Genetics

    56 publications · 6.5K citations

    39

    h-index

  5. Molecular Biology and Evolution

    MBE · 76 publications · 4.4K citations

    39

    h-index

1–5