Spatial Gene Expression Analysis

Spatial Gene Expression Analysis is a computational and experimental framework that belongs to the class of spatial transcriptomics methods, distinguished by its ability to quantify gene expression levels within the anatomical context of tissues, thereby preserving the two-dimensional or three-dimensional spatial coordinates of molecular activity.

416

Publications

37.2K

Citations

2.4K

Authors

739

Institutions

Publications per year

2017–2026

333

Authors

2.4K

  1. JL
    Joakim Lundeberg

    KTH Royal Institute of Technology, Sweden

    24 publications · 7.6K citations

    22

    h-index

  2. KR
    Kristen R. Maynard

    Johns Hopkins University, United States

    12 publications · 1.9K citations

    11

    h-index

  3. KM
    Keri Martinowich

    Lieber Institute for Brain Development, United States

    12 publications · 1.9K citations

    11

    h-index

  4. SC
    Stephanie C. Hicks

    Johns Hopkins University, United States

    11 publications · 1.9K citations

    11

    h-index

  5. XZ
    Xiang Zhou

    University of Michigan, United States

    10 publications · 1.6K citations

    10

    h-index

1–5 of 2.4K

Venues

  1. Nature Communications

    37 publications · 5K citations

    29

    h-index

  2. Bioinformatics

    27 publications · 1.4K citations

    22

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 50 publications · 1.7K citations

    22

    h-index

  4. Nucleic Acids Research

    18 publications · 1.6K citations

    18

    h-index

  5. Genome biology

    15 publications · 1.5K citations

    16

    h-index

1–5