Genetic Data Anonymization

Genetic Data Anonymization is a methodological process within genetic information privacy that consists of systematically removing or altering personally identifiable information from genetic datasets to prevent the attribution of genetic information to specific individuals while preserving data utility for research purposes.

159

Publications

9.4K

Citations

460

Authors

246

Institutions

Publications per year

2017–2026

61

Authors

460

  1. EA
    Erman Ayday

    Bilkent University, Türkiye

    11 publications · 440 citations

    11

    h-index

  2. BM
    Bradley Malin

    Vanderbilt University, United States

    10 publications · 795 citations

    10

    h-index

  3. JH
    Jean‐Pierre Hubaux

    École Polytechnique Fédérale de Lausanne, Switzerland

    10 publications · 518 citations

    10

    h-index

  4. XJ
    Xiaoqian Jiang

    University of California San Diego, United States

    7 publications · 326 citations

    7

    h-index

  5. HT
    Haixu Tang

    Indiana University Bloomington, United States

    6 publications · 604 citations

    6

    h-index

1–5 of 460

Venues

  1. PubMed

    Repository · 8 publications · 279 citations

    8

    h-index

  2. Science

    7 publications · 1.8K citations

    7

    h-index

  3. Bioinformatics

    6 publications · 296 citations

    6

    h-index

  4. Nature

    5 publications · 86 citations

    5

    h-index

  5. BMC Medical Genomics

    5 publications · 113 citations

    5

    h-index

1–5