Gene Essentiality Analysis

Gene Essentiality Analysis is a computational or experimental methodological framework within systems metabolic engineering that identifies the subset of genes indispensable for cellular viability or optimal metabolic function under defined environmental conditions.

255

Publications

25.6K

Citations

1.4K

Authors

431

Institutions

Publications per year

2017–2026

119

Authors

1.4K

  1. BØ
    Bernhard Ø. Palsson

    University of California San Diego, United States

    13 publications · 1.5K citations

    14

    h-index

  2. CB
    Charles Boone

    University of Toronto, Canada

    7 publications · 1.7K citations

    7

    h-index

  3. ND
    Neil D. Young

    The University of Melbourne, Australia

    6 publications · 218 citations

    6

    h-index

  4. JM
    Jonathan M. Monk

    University of California San Diego, United States

    6 publications · 312 citations

    6

    h-index

  5. TD
    Túlio de Lima Campos

    Fundação Oswaldo Cruz, Brazil

    6 publications · 218 citations

    6

    h-index

1–5 of 1.4K

Venues

  1. PLoS Computational Biology

    18 publications · 2.3K citations

    17

    h-index

  2. BMC Systems Biology

    16 publications · 1.1K citations

    15

    h-index

  3. Scientific Reports

    15 publications · 696 citations

    13

    h-index

  4. Nucleic Acids Research

    12 publications · 2.1K citations

    12

    h-index

  5. PLoS ONE

    9 publications · 379 citations

    9

    h-index

1–5