Selectable Marker Optimization

Selectable Marker Optimization is a methodological framework in molecular biology that systematically refines the selection and engineering of genetic markers to enhance transformation efficiency and phenotypic accuracy while minimizing unintended biological impacts in recombinant organisms.

154

Publications

9K

Citations

697

Authors

263

Institutions

Publications per year

2017–2026

16

Authors

697

  1. RE
    Robert E. Kingston

    Massachusetts General Hospital, United States

    4 publications · 114 citations

    4

    h-index

  2. RM
    Richard M. Mortensen

    University of Michigan, United States

    3 publications · 64 citations

    3

    h-index

  3. RJ
    Randal J. Kaufman

    University of Michigan, United States

    3 publications · 101 citations

    3

    h-index

  4. TF
    Tania F. de Koning‐Ward

    Deakin University, Australia

    3 publications · 150 citations

    3

    h-index

  5. AP
    Andrew P. Waters

    Leiden University, Netherlands

    2 publications · 129 citations

    2

    h-index

1–5 of 697

Venues

  1. Plant Cell Reports

    14 publications · 807 citations

    12

    h-index

  2. Gene

    10 publications · 443 citations

    10

    h-index

  3. Current Genetics

    9 publications · 332 citations

    9

    h-index

  4. Molecular and Biochemical Parasitology

    7 publications · 465 citations

    7

    h-index

  5. Nucleic Acids Research

    6 publications · 380 citations

    6

    h-index

1–5