Natural Variation Analysis

Natural Variation Analysis is a methodological framework within allele mining that identifies and characterizes functionally relevant genetic variants across diverse populations by distinguishing naturally occurring allelic diversity from artificial or induced mutations.

1.6K

Publications

111.2K

Citations

7.4K

Authors

1.7K

Institutions

Publications per year

2017–2026

424

Authors

7.4K

  1. MN
    Magnus Nordborg

    Gregor Mendel Institute of Molecular Plant Biology, Austria

    20 publications · 3.6K citations

    19

    h-index

  2. MK
    Maarten Koornneef

    Graduate School Experimental Plant Sciences, Netherlands

    14 publications · 1.9K citations

    14

    h-index

  3. EC
    Erik C. Andersen

    Northwestern University, United States

    13 publications · 1.4K citations

    13

    h-index

  4. MA
    Michael A. Gore

    Cornell University, United States

    11 publications · 866 citations

    11

    h-index

  5. CD
    Caroline Dean

    John Innes Centre, United Kingdom

    11 publications · 2.6K citations

    11

    h-index

1–5 of 7.4K

Venues

  1. Genetics

    55 publications · 4.9K citations

    39

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 39 publications · 4.8K citations

    34

    h-index

  3. PLoS Genetics

    35 publications · 4.5K citations

    31

    h-index

  4. The Plant Journal

    32 publications · 3.4K citations

    28

    h-index

  5. PLANT PHYSIOLOGY

    30 publications · 3.6K citations

    26

    h-index

1–5