Lukas Schmidheini

527 total citations · 2 hit papers
9 papers, 327 citations indexed

About

Lukas Schmidheini is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Lukas Schmidheini has authored 9 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Genetics. Recurrent topics in Lukas Schmidheini's work include CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). Lukas Schmidheini is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). Lukas Schmidheini collaborates with scholars based in Switzerland, Netherlands and Germany. Lukas Schmidheini's co-authors include Nicolas Mathis, Gerald Schwank, Kim Fabiano Marquart, Tanja Rothgangl, Lucas Kissling, Desirée Böck, Ahmed Allam, Michael Krauthammer, Lukas Villiger and Zsolt Balázs and has published in prestigious journals such as Nature Biotechnology, Nature Methods and The Journal of Physical Chemistry C.

In The Last Decade

Lukas Schmidheini

9 papers receiving 326 citations

Hit Papers

In vivo prime editing of a metabolic liver disease in mice 2022 2026 2023 2024 2022 2023 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. Predicting prime editing efficiency and product purity by deep learning
    2023 84 citations Nicolas Mathis, Ahmed Allam et al. Nature Biotechnology 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 Schmidheini Switzerland 8 301 109 29 23 20 9 327
James R. Rybarski United States 7 505 1.7× 59 0.5× 39 1.3× 28 1.2× 48 2.4× 13 537
Karthik Murugan United States 7 339 1.1× 54 0.5× 24 0.8× 39 1.7× 17 0.8× 8 385
Zhen Tan United States 7 505 1.7× 40 0.4× 77 2.7× 14 0.6× 16 0.8× 10 541
Kesavan Babu United States 8 333 1.1× 40 0.4× 16 0.6× 35 1.5× 23 1.1× 11 371
Xuchen Wang China 5 183 0.6× 68 0.6× 13 0.4× 21 0.9× 9 0.5× 8 218
Xiaochan Lu China 9 320 1.1× 88 0.8× 4 0.1× 18 0.8× 14 0.7× 19 370
Simon P. Shen United States 4 460 1.5× 121 1.1× 31 1.1× 30 1.3× 29 1.4× 5 521
Zexiang Chen United States 10 365 1.2× 127 1.2× 24 0.8× 31 1.3× 20 1.0× 13 417
Ning Guo United States 6 372 1.2× 139 1.3× 15 0.5× 39 1.7× 32 1.6× 6 415
Jamieson A. L. Howard United Kingdom 11 281 0.9× 114 1.0× 20 0.7× 11 0.5× 8 0.4× 15 317

Countries citing papers authored by Lukas Schmidheini

Since Specialization
Citations

This map shows the geographic impact of Lukas Schmidheini'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 Schmidheini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Schmidheini more than expected).

Fields of papers citing papers by Lukas Schmidheini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukas Schmidheini. 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 Schmidheini. The network helps show where Lukas Schmidheini may publish in the future.

Co-authorship network of co-authors of Lukas Schmidheini

This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Schmidheini. A scholar is included among the top collaborators of Lukas Schmidheini 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 Schmidheini. Lukas Schmidheini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Marquart, Kim Fabiano, Nicolas Mathis, Lucas Kissling, et al.. (2024). Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs. Nature Methods. 21(11). 2084–2093. 8 indexed citations
2.
Mathis, Nicolas, Ahmed Allam, András Tálas, et al.. (2024). Machine learning prediction of prime editing efficiency across diverse chromatin contexts. Nature Biotechnology. 43(5). 712–719. 27 indexed citations
3.
Schmidheini, Lukas, Nicolas Mathis, Kim Fabiano Marquart, et al.. (2023). Continuous directed evolution of a compact CjCas9 variant with broad PAM compatibility. Nature Chemical Biology. 20(3). 333–343. 24 indexed citations
4.
Mathis, Nicolas, Ahmed Allam, Lucas Kissling, et al.. (2023). Predicting prime editing efficiency and product purity by deep learning. Nature Biotechnology. 41(8). 1151–1159. 84 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.
Schmidheini, Lukas, et al.. (2022). Self-Assembly of Nanodiamonds and Plasmonic Nanoparticles for Nanoscopy. Biosensors. 12(3). 148–148. 8 indexed citations
7.
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
8.
Ihle, Stephan J., et al.. (2019). Theoretical and Experimental Investigation of Ligand-Induced Particle–Particle Interactions. The Journal of Physical Chemistry C. 124(2). 1566–1574. 6 indexed citations
9.
Schmidheini, Lukas, et al.. (2019). Dark-Field Microwells toward High-Throughput Direct miRNA Sensing with Gold Nanoparticles. ACS Sensors. 4(7). 1950–1956. 28 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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