Time-course Transcriptomics

Time-Course Transcriptomics is a transcriptomic analysis approach that distinguishes itself by systematically profiling gene expression dynamics at multiple sequential time points following a biological stimulus or during a developmental process to capture temporal regulatory patterns in microbial systems.

103

Publications

6.6K

Citations

630

Authors

283

Institutions

Publications per year

2017–2026

39

Authors

630

  1. JJ
    Joon Jin Song

    University of Arkansas at Fayetteville, United States

    2 publications · 90 citations

    2

    h-index

  2. HW
    Hulin Wu

    University of Rochester, United States

    2 publications · 72 citations

    2

    h-index

  3. HM
    Hirotaka Matsumoto

    The University of Tokyo, Japan

    2 publications · 503 citations

    2

    h-index

  4. ST
    Sonia Tarazona

    Centro de Investigacion Principe Felipe, Spain

    2 publications · 427 citations

    2

    h-index

  5. SW
    Shuang Wu

    Zhejiang University, China

    2 publications · 72 citations

    2

    h-index

1–5 of 630

Venues

  1. Bioinformatics

    9 publications · 1.4K citations

    9

    h-index

  2. BMC Genomics

    8 publications · 367 citations

    8

    h-index

  3. PLoS ONE

    6 publications · 187 citations

    6

    h-index

  4. The Plant Cell

    3 publications · 529 citations

    3

    h-index

  5. Scientific Reports

    3 publications · 55 citations

    3

    h-index

1–5