Pseudotime Trajectory Analysis

Pseudotime Trajectory Analysis is a computational method in transcriptomic heterogeneity research that infers the progression of cells along dynamic biological processes by ordering single-cell transcriptomes on a pseudotemporal continuum based on transcriptional similarity, thereby reconstructing developmental or regulatory trajectories without explicit time-series data.

68

Publications

3.5K

Citations

602

Authors

234

Institutions

Publications per year

2017–2026

68

Authors

602

  1. HJ
    Hongkai Ji

    Johns Hopkins University, United States

    2 publications · 111 citations

    2

    h-index

  2. ZJ
    Zhicheng Ji

    Johns Hopkins University, United States

    2 publications · 111 citations

    2

    h-index

  3. YC
    Yunshun Chen

    The University of Melbourne, Australia

    2 publications · 30 citations

    2

    h-index

  4. TT
    Tianhai Tian

    Monash University, Australia

    2 publications · 35 citations

    2

    h-index

  5. EJ
    E. John Wherry

    University of Pennsylvania, United States

    2 publications · 111 citations

    2

    h-index

1–5 of 602

Venues

  1. Nature Communications

    8 publications · 526 citations

    8

    h-index

  2. Journal of Translational Medicine

    JTM · 5 publications · 174 citations

    5

    h-index

  3. Science Advances

    3 publications · 211 citations

    3

    h-index

  4. Bioinformatics

    3 publications · 182 citations

    3

    h-index

  5. F1000Research

    2 publications · 30 citations

    2

    h-index

1–5