Next-generation Sequencing

Next-Generation Sequencing is a high-throughput nucleic acid sequencing technology that determines the nucleotide sequences of large numbers of DNA or RNA molecules in parallel using massively parallel sequencing chemistries and platforms, thereby enabling comprehensive and efficient genome- and transcriptome-wide variant analysis.

10.4K

Publications

1.8M

Citations

60.3K

Authors

7.6K

Institutions

Publications per year

2017–2026

4.8K

Authors

60.3K

  1. EE
    Evan E. Eichler

    University of Washington, United States

    55 publications · 39.8K citations

    37

    h-index

  2. FJ
    Fritz J. Sedlazeck

    Baylor College of Medicine, United States

    55 publications · 11.3K citations

    37

    h-index

  3. MC
    Michael C. Schatz

    Johns Hopkins University, United States

    49 publications · 14.5K citations

    36

    h-index

  4. RA
    Richard A. Gibbs

    Baylor College of Medicine, United States

    51 publications · 41.6K citations

    34

    h-index

  5. JW
    Jun Wang

    BGI Group (China), China

    42 publications · 32.1K citations

    32

    h-index

1–5 of 60.3K

Venues

  1. Bioinformatics

    761 publications · 498.3K citations

    159

    h-index

  2. Nucleic Acids Research

    412 publications · 106.1K citations

    129

    h-index

  3. PLoS ONE

    571 publications · 73.7K citations

    108

    h-index

  4. Genome Research

    GR · 211 publications · 92K citations

    105

    h-index

  5. BMC Genomics

    445 publications · 35.2K citations

    102

    h-index

1–5