Lukas Villiger

3.5k citations
15 papers · 1.2k indexed · 3 hit papers · h-index 11
Topics
CRISPR and Genetic Engineering (9 papers)RNA regulation and disease (5 papers)RNA and protein synthesis mechanisms (5 papers)

In The Last Decade

Lukas Villiger

15 papers receiving 1.2k citations

Hit Papers

In vivo prime editing of a metabolic liver disease in mice20222026202320242022202420244080120

Peers

Lukas Villiger
Comparison fields: 5 of 88
  • Molecular Biology 900
  • Genetics 301
  • Biomedical Engineering 210
  • Oncology 209
  • Surgery 76
Replace Peter Gee with:
Peter Gee Japan
Hyunji Lee South Korea
S. Kaye Spratt United States
Chul‐Yong Park South Korea
Andrea Calabria Italy
Elizabeth A. Boydston United States
Bian Hu China
Matthew B. Dong United States
Siyuan Tan United States
Klaudia Kuranda France
Lukas Villiger relative to Peter Gee Japan Peter Gee's profile →
Citations per field
00.5×3.2×
Peter Gee · 1×
Citations per year

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
#WorkIndexed citations
1 8
2 1
3
CRISPR technologies for genome, epigenome and transcriptome editingbreakdown →
99
4
Rapid in silico directed evolution by a protein language model with EVOLVEprobreakdown →
73
5
In vivo prime editing of a metabolic liver disease in micebreakdown →
130
6 53
7 75
8 12
9 52
10 1
11 149
12 1
13 301
14 225
15 18

About Lukas Villiger

Lukas Villiger is a scholar working on Aging, Complementary and alternative medicine and Computer Science Applications, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), RNA regulation and disease (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Aging (41 citations), Business and International Management (44 citations) and Molecular Biology (900 citations). Lukas Villiger has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent 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. Their work appears in journals such as Nature, Science and Advanced Materials.

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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