Evolutionary Surveillance

Evolutionary Surveillance is a molecular surveillance framework that systematically monitors genetic changes in viral populations over time to infer evolutionary dynamics and detect emergent variants with potential epidemiological significance.

53

Publications

7.3K

Citations

455

Authors

166

Institutions

Publications per year

2017–2026

33

Authors

455

  1. ML
    Marc Lipsitch

    Harvard University, United States

    3 publications · 220 citations

    3

    h-index

  2. CA
    Colin A. Russell

    University of Cambridge, United Kingdom

    2 publications · 187 citations

    2

    h-index

  3. SH
    Shing H. Zhan

    University of British Columbia, Canada

    2 publications · 145 citations

    2

    h-index

  4. PM
    Peter M. Kasson

    University of Virginia, United States

    2 publications · 187 citations

    2

    h-index

  5. YA
    Yujia A. Chan

    Broad Institute, United States

    2 publications · 145 citations

    2

    h-index

1–5 of 455

Venues

  1. Viruses

    3 publications · 126 citations

    5

    h-index

  2. Emerging infectious diseases

    EID · 4 publications · 268 citations

    4

    h-index

  3. eLife

    3 publications · 309 citations

    3

    h-index

  4. Eurosurveillance

    3 publications · 138 citations

    3

    h-index

  5. Emerging Microbes & Infections

    2 publications · 48 citations

    2

    h-index

1–5