Evolutionary Trajectory Analysis

Evolutionary Trajectory Analysis is a computational and experimental methodology within directed evolution that identifies, characterizes, and interprets the sequential mutational pathways and selective pressures guiding the optimization of biomolecular function over successive generations.

250

Publications

16.6K

Citations

2.2K

Authors

802

Institutions

Publications per year

2017–2026

95

Authors

2.2K

  1. MM
    Michael M. Desai

    Harvard University, United States

    6 publications · 1.6K citations

    6

    h-index

  2. RE
    Richard E. Lenski

    Michigan State University, United States

    4 publications · 1.2K citations

    4

    h-index

  3. AH
    Allan Haldane

    Temple University, United States

    3 publications · 80 citations

    3

    h-index

  4. DL
    Daniel L. Hartl

    Harvard University, United States

    3 publications · 1.6K citations

    3

    h-index

  5. GC
    Giulio Caravagna

    Institute of Cancer Research, United Kingdom

    3 publications · 150 citations

    3

    h-index

1–5 of 2.2K

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 17 publications · 1.3K citations

    17

    h-index

  2. Molecular Biology and Evolution

    MBE · 16 publications · 959 citations

    15

    h-index

  3. Nature Communications

    12 publications · 719 citations

    12

    h-index

  4. eLife

    11 publications · 531 citations

    11

    h-index

  5. Journal of Molecular Evolution

    10 publications · 396 citations

    10

    h-index

1–5