Next-generation Sequencing Analysis

Next-Generation Sequencing Analysis is a genomic data interpretation methodology that distinguishes itself by enabling high-throughput, parallel sequencing of cancer-related genetic variants to identify somatic mutations, germline alterations, and gene expression profiles with unprecedented depth and resolution.

1.4K

Publications

110K

Citations

14.4K

Authors

2.8K

Institutions

Publications per year

2017–2026

812

Authors

14.4K

  1. MF
    Michael F. Berger

    Memorial Sloan Kettering Cancer Center, United States

    16 publications · 10.2K citations

    14

    h-index

  2. JS
    Jeffrey S. Ross

    Foundation Medicine (United States)

    12 publications · 3.2K citations

    12

    h-index

  3. DB
    David B. Solit

    Memorial Sloan Kettering Cancer Center, United States

    11 publications · 5.2K citations

    11

    h-index

  4. VA
    Vincent A. Miller

    Foundation Medicine (United States)

    11 publications · 5.1K citations

    11

    h-index

  5. GG
    Gad Getz

    Broad Institute, United States

    11 publications · 6.4K citations

    9

    h-index

1–5 of 14.4K

Venues

  1. PLoS ONE

    59 publications · 3.3K citations

    33

    h-index

  2. Nucleic Acids Research

    28 publications · 7K citations

    23

    h-index

  3. Bioinformatics

    31 publications · 1.9K citations

    22

    h-index

  4. BMC Cancer

    29 publications · 1.5K citations

    22

    h-index

  5. Scientific Reports

    28 publications · 1.2K citations

    21

    h-index

1–5