Standout Papers

Variable prediction accuracy of polygenic scores within an ancestry group 2020 2026 2022 2024215
  1. Variable prediction accuracy of polygenic scores within an ancestry group (2020)
    Hakhamanesh Mostafavi, Arbel Harpak et al. eLife

Immediate Impact

1 by Nobel laureates 4 from Science/Nature 52 standout
Sub-graph 1 of 19

Citing Papers

Genomic language models: opportunities and challenges
2025 Standout
Interferon- γ and infectious diseases: Lessons and prospects
2024 StandoutScience
2 intermediate papers

Works of Ipsita Agarwal being referenced

Relating pathogenic loss-of-function mutations in humans to their evolutionary fitness costs
2023
Variable prediction accuracy of polygenic scores within an ancestry group
2020 Standout

Author Peers

Author Last Decade Papers Cites
Ipsita Agarwal 200 65 9 24 6 288
Leslie Herrmann 116 75 13 31 5 302
Tal Shor 138 75 27 4 314
Joanna Kaplanis 177 141 34 8 320
Mona A. Sheikh 74 70 21 4 218
Andres Metspalu 154 60 7 24 8 309
Nicolás W. Martín 76 74 7 15 8 199
Ashley Budu‐Aggrey 149 54 8 16 15 314
Kristin Tsuo 101 109 3 12 7 233
Xiaoyuan Zhong 134 65 4 15 5 204
Elena Bernabeu 82 110 4 19 9 215

All Works

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Rankless by CCL
2026