In vivo prime editing of a metabolic liver disease in miceDesirée Böck, Gerald Schwank, Tanja Rothgangl et al.|Science Translational Medicine|2022Cited by 184
Machine learning prediction of prime editing efficiency across diverse chromatin contextsNicolas Mathis, Gerald Schwank, Ahmed Allam et al.|Nature Biotechnology|2024Cited by 57
Continuous directed evolution of a compact CjCas9 variant with broad PAM compatibilityLukas Schmidheini, Gerald Schwank, Nicolas Mathis et al.|Nature Chemical Biology|2023Cited by 45
Treatment of a metabolic liver disease in mice with a transient prime editing approachTanja Rothgangl, Gerald Schwank, András Tálas et al.|Nature Biomedical Engineering|2025Cited by 21
Predicting prime editing efficiency across diverse edit types and chromatin contexts with machine learningNicolas Mathis, Gerald Schwank, Ahmed Allam et al.|bioRxiv (Cold Spring Harbor Laboratory)|2023Cited by 8