Standout Papers

Predicting prime editing efficiency and product purity by deep learning 2022 2026 2023 2024122
  1. Predicting prime editing efficiency and product purity by deep learning (2023)
    Nicolas Mathis, Ahmed Allam et al. Nature Biotechnology
  2. In vivo prime editing of a metabolic liver disease in mice (2022)
    Desirée Böck, Tanja Rothgangl et al. Science Translational Medicine

Immediate Impact

2 by Nobel laureates 4 from Science/Nature 66 standout
Sub-graph 1 of 21

Citing Papers

Past, present, and future of CRISPR genome editing technologies
2024 Standout
Advancing genome editing with artificial intelligence: opportunities, challenges, and future directions
2024 Standout
6 intermediate papers

Works of Nicolas Mathis being referenced

Predicting prime editing efficiency and product purity by deep learning
2023 Standout
Continuous directed evolution of a compact CjCas9 variant with broad PAM compatibility
2023
and 2 more

Author Peers

Author Last Decade Papers Cites
Nicolas Mathis 290 106 4 26 12 324
Dexuan Cui 238 72 1 28 11 277
Tanja Rothgangl 267 104 1 21 9 284
Kim Fabiano Marquart 284 88 1 23 13 302
Pawel Bialk 309 85 3 21 15 345
Sung-Ah Hong 248 95 3 16 10 283
Judith Gallant 301 121 1 16 9 327
Imre F. Schene 239 69 2 21 9 301
Mazyar Barekati‐Mowahed 287 39 1 17 9 343
Bhavini Rana 183 118 3 14 8 315
Gou Takahashi 302 143 5 13 18 343

All Works

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Rankless by CCL
2026