Lukas Villiger

3.5k total citations · 3 hit papers
15 papers, 1.2k citations indexed

About

Lukas Villiger is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Lukas Villiger has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Lukas Villiger's work include CRISPR and Genetic Engineering (9 papers), RNA regulation and disease (5 papers) and RNA and protein synthesis mechanisms (5 papers). Lukas Villiger is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), RNA regulation and disease (5 papers) and RNA and protein synthesis mechanisms (5 papers). Lukas Villiger collaborates with scholars based in Switzerland, United States and Netherlands. Lukas Villiger's co-authors include Gerald Schwank, Femke Ringnalda, Hiu Man Grisch‐Chan, Omar O. Abudayyeh, Jonathan S. Gootenberg, Johannes Häberle, Beat Thöny, Gabriella Allegri, Helen Lindsay and Mark D. Robinson and has published in prestigious journals such as Nature, Science and Advanced Materials.

In The Last Decade

Lukas Villiger

15 papers receiving 1.2k citations

Hit Papers

In vivo prime editing of a metabolic liver disease in mice 2022 2026 2023 2024 2022 2024 2024 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. In vivo prime editing of a metabolic liver disease in mice
    2022 130 citations Desirée Böck, Tanja Rothgangl et al. Science Translational Medicine profile →
  2. CRISPR technologies for genome, epigenome and transcriptome editing
    2024 99 citations Lukas Villiger, Julia Joung et al. Nature Reviews Molecular Cell Biology profile →
  3. Rapid in silico directed evolution by a protein language model with EVOLVEpro
    2024 73 citations Kaiyi Jiang, Lukas Villiger et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lukas Villiger Switzerland 11 900 301 210 209 76 15 1.2k
Peter Gee Japan 18 961 1.1× 163 0.5× 73 0.3× 230 1.1× 145 1.9× 27 1.4k
Shantanu Kumar United States 9 1.1k 1.2× 381 1.3× 58 0.3× 137 0.7× 47 0.6× 14 1.3k
Chul‐Yong Park South Korea 20 866 1.0× 237 0.8× 49 0.2× 192 0.9× 79 1.0× 27 1.2k
Matthew B. Dong United States 17 1.3k 1.4× 279 0.9× 95 0.5× 582 2.8× 28 0.4× 24 1.8k
Christopher D. Guzman United States 5 1.6k 1.8× 312 1.0× 79 0.4× 266 1.3× 22 0.3× 5 1.8k
Bian Hu China 17 1.1k 1.3× 360 1.2× 81 0.4× 389 1.9× 71 0.9× 30 1.5k
Yi-Li Min United States 11 1.3k 1.4× 368 1.2× 97 0.5× 66 0.3× 116 1.5× 11 1.4k
A‐Rum Yoon South Korea 22 961 1.1× 591 2.0× 122 0.6× 469 2.2× 47 0.6× 51 1.5k
Siyuan Tan United States 10 1.7k 1.9× 510 1.7× 48 0.2× 116 0.6× 41 0.5× 22 2.0k

Countries citing papers authored by Lukas Villiger

Since Specialization
Citations

This map shows the geographic impact of Lukas Villiger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lukas Villiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Villiger more than expected).

Fields of papers citing papers by Lukas Villiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukas Villiger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lukas Villiger. The network helps show where Lukas Villiger may publish in the future.

Co-authorship network of co-authors of Lukas Villiger

This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Villiger. A scholar is included among the top collaborators of Lukas Villiger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lukas Villiger. Lukas Villiger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Villiger, Lukas, Justin Lim, Masahiro Hiraizumi, et al.. (2025). Reprogramming site-specific retrotransposon activity to new DNA sites. Nature. 642(8069). 1080–1089. 8 indexed citations
2.
Villiger, Lukas, Julia Joung, Luke W. Koblan, et al.. (2024). Author Correction: CRISPR technologies for genome, epigenome and transcriptome editing. Nature Reviews Molecular Cell Biology. 25(6). 510–510. 1 indexed citations
3.
Villiger, Lukas, Julia Joung, Luke W. Koblan, et al.. (2024). CRISPR technologies for genome, epigenome and transcriptome editing. Nature Reviews Molecular Cell Biology. 25(6). 464–487. 99 indexed citations breakdown →
4.
Jiang, Kaiyi, Lukas Villiger, Alişan Kayabölen, et al.. (2024). Rapid in silico directed evolution by a protein language model with EVOLVEpro. Science. 387(6732). eadr6006–eadr6006. 73 indexed citations breakdown →
5.
Böck, Desirée, Tanja Rothgangl, Lukas Villiger, et al.. (2022). In vivo prime editing of a metabolic liver disease in mice. Science Translational Medicine. 14(636). eabl9238–eabl9238. 130 indexed citations breakdown →
6.
Jiang, Kaiyi, Jeremy Koob, Xi Chen, et al.. (2022). Programmable eukaryotic protein synthesis with RNA sensors by harnessing ADAR. Nature Biotechnology. 41(5). 698–707. 53 indexed citations
7.
Villiger, Lukas, Tanja Rothgangl, Dominik Witzigmann, et al.. (2021). In vivo cytidine base editing of hepatocytes without detectable off-target mutations in RNA and DNA. Nature Biomedical Engineering. 5(2). 179–189. 75 indexed citations
8.
Villiger, Lukas, Lukas Schmidheini, Nicolas Mathis, et al.. (2021). Replacing the SpCas9 HNH domain by deaminases generates compact base editors with an alternative targeting scope. Molecular Therapy — Nucleic Acids. 26. 502–510. 12 indexed citations
9.
Marquart, Kim Fabiano, Ahmed Allam, Sharan Janjuha, et al.. (2021). Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens. Nature Communications. 12(1). 5114–5114. 52 indexed citations
10.
Villiger, Lukas, et al.. (2021). Response to Nigella sativa in Patients with Confirmed and Suspected COVID-19. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Frey, Nina, Femke Ringnalda, Sharan Janjuha, et al.. (2020). Genome-Scale CRISPR Screening in Human Intestinal Organoids Identifies Drivers of TGF-β Resistance. Cell stem cell. 26(3). 431–440.e8. 149 indexed citations
12.
13.
Villiger, Lukas, Hiu Man Grisch‐Chan, Helen Lindsay, et al.. (2018). Treatment of a metabolic liver disease by in vivo genome base editing in adult mice. Nature Medicine. 24(10). 1519–1525. 301 indexed citations
14.
Broguière, Nicolas, Christian Hirt, Emma Cavalli, et al.. (2018). Growth of Epithelial Organoids in a Defined Hydrogel. Advanced Materials. 30(43). e1801621–e1801621. 225 indexed citations
15.
Lakkaraju, Asvin KK, Claire Bridel, Lukas Villiger, et al.. (2015). Neurodegeneration and Unfolded-Protein Response in Mice Expressing a Membrane-Tethered Flexible Tail of PrP. PLoS ONE. 10(2). e0117412–e0117412. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026