Pseudogene Expression Analysis

Pseudogene Expression Analysis is a computational and molecular biology approach that identifies and quantifies transcriptional activity of pseudogenes to distinguish their functional expression patterns from those of protein-coding genes within cross-species gene expression studies.

67

Publications

6.1K

Citations

380

Authors

144

Institutions

Publications per year

2017–2026

12

Authors

380

  1. KS
    Koichi Suzuki

    The University of Tokyo, Japan

    3 publications · 109 citations

    3

    h-index

  2. NI
    Norihisa Ishii

    National Institute of Infectious Diseases, Japan

    3 publications · 109 citations

    3

    h-index

  3. YZ
    Yan Zhang

    The Ohio State University, United States

    2 publications · 54 citations

    2

    h-index

  4. HW
    Huhehasi Wu

    National Institute of Infectious Diseases, Japan

    2 publications · 72 citations

    2

    h-index

  5. AK
    Akira Kawashima

    Mayo Clinic, United States

    2 publications · 72 citations

    2

    h-index

1–5 of 380

Venues

  1. Molecular and Cellular Biology

    MCB · 4 publications · 132 citations

    4

    h-index

  2. BMC Genomics

    4 publications · 141 citations

    4

    h-index

  3. Nucleic Acids Research

    3 publications · 207 citations

    3

    h-index

  4. Genome Research

    GR · 3 publications · 390 citations

    3

    h-index

  5. Nature

    2 publications · 1.2K citations

    2

    h-index

1–5