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 61 standout
Sub-graph 1 of 20

Citing Papers

Gold nanoparticles (AuNPs): A versatile material for biosensor application
2024 Standout
Past, present, and future of CRISPR genome editing technologies
2024 Standout
7 intermediate papers

Works of Lukas Schmidheini 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 3 more

Author Peers

Author Last Decade Papers Cites
Lukas Schmidheini 273 27 99 9 293
Xuchen Wang 164 13 63 6 197
Danny Wilbie 265 55 55 6 325
Megumu Mabuchi 318 14 58 14 334
Qingyan Lv 292 14 130 11 335
Jamieson A. L. Howard 268 20 107 15 303
Yujia Huang 279 16 56 9 313
Anustup Poddar 274 24 41 5 285
Anastasia Emmanouilidou 186 15 42 9 266
Gavin Kurgan 219 61 61 13 245
Yanwu Huo 211 21 59 8 279

All Works

Loading papers...

Rankless by CCL
2026