Causal Markers

Causal Markers is a methodological construct in causal inference that identifies observable phenomena or statistical associations serving as indicative signals of underlying causal relationships, distinguished from mere correlations by their theoretical or empirical grounding in interventions, temporal precedence, or structural assumptions.

414

Publications

18.6K

Citations

3.4K

Authors

1.2K

Institutions

Publications per year

2017–2026

255

Authors

3.4K

  1. BG
    Børge G. Nordestgaard

    Copenhagen University Hospital, Denmark

    9 publications · 264 citations

    9

    h-index

  2. GD
    George Davey Smith

    University of Bristol, United Kingdom

    7 publications · 537 citations

    7

    h-index

  3. SB
    Stephen Burgess

    University of Cambridge, United Kingdom

    6 publications · 366 citations

    6

    h-index

  4. MH
    Meian He

    Huazhong University of Science and Technology, China

    4 publications · 111 citations

    4

    h-index

  5. LW
    Lang Wu

    University of Hawaiʻi at Mānoa, United States

    4 publications · 122 citations

    4

    h-index

1–5 of 3.4K

Venues

  1. PLoS ONE

    19 publications · 741 citations

    15

    h-index

  2. Frontiers in Genetics

    13 publications · 353 citations

    12

    h-index

  3. Frontiers in Immunology

    12 publications · 396 citations

    11

    h-index

  4. Frontiers in Endocrinology

    11 publications · 347 citations

    11

    h-index

  5. Nature Communications

    9 publications · 1K citations

    9

    h-index

1–5