Macromolecular Structure Visualization

Macromolecular Structure Visualization is the systematic representation and interactive exploration of three-dimensional biomolecular architectures, such as proteins and nucleic acids, using computational tools to reveal structural features, spatial relationships, and functional insights at atomic or near-atomic resolution.

591

Publications

294.1K

Citations

2K

Authors

646

Institutions

Publications per year

2017–2026

140

Authors

2K

  1. DS
    David S. Goodsell

    Scripps Research Institute, United States

    18 publications · 2.4K citations

    17

    h-index

  2. SB
    S.K. Burley

    Rutgers, The State University of New Jersey, United States

    14 publications · 2.8K citations

    14

    h-index

  3. JM
    José M. Duarte

    San Diego Supercomputer Center, United States

    11 publications · 1.4K citations

    11

    h-index

  4. IV
    Ivan Viola

    TU Wien, Austria

    11 publications · 462 citations

    10

    h-index

  5. CZ
    Christine Zardecki

    Rutgers, The State University of New Jersey, United States

    10 publications · 2K citations

    10

    h-index

1–5 of 2K

Venues

  1. Nucleic Acids Research

    49 publications · 16.6K citations

    36

    h-index

  2. Bioinformatics

    56 publications · 7.2K citations

    30

    h-index

  3. Journal of Molecular Biology

    JMB · 19 publications · 3.3K citations

    19

    h-index

  4. Protein Science

    PS · 17 publications · 7.1K citations

    16

    h-index

  5. 16

    h-index

1–5