Leo Scheller

823 total citations · 1 hit paper
19 papers, 546 citations indexed

About

Leo Scheller is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Leo Scheller has authored 19 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Leo Scheller's work include Monoclonal and Polyclonal Antibodies Research (8 papers), CAR-T cell therapy research (4 papers) and CRISPR and Genetic Engineering (4 papers). Leo Scheller is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), CAR-T cell therapy research (4 papers) and CRISPR and Genetic Engineering (4 papers). Leo Scheller collaborates with scholars based in Switzerland, Germany and Austria. Leo Scheller's co-authors include Martin Fussenegger, Martin Fussenegger, Daniel Bojar, Tobias Strittmatter, David Fuchs, E. Schleicher, O. Wieland, Mingqi Xie, Bruno E. Correia and Ryosuke Kojima and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Leo Scheller

19 papers receiving 533 citations

Hit Papers

Targeting protein–ligand neosurfaces with a generalizable... 2025 2026 2025 5 10 15
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. Targeting protein–ligand neosurfaces with a generalizable deep learning tool
    2025 19 citations Stephen Buckley, Arne Schneuing et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leo Scheller Switzerland 12 419 110 103 56 43 19 546
Meritxell Costa Spain 10 354 0.8× 51 0.5× 79 0.8× 20 0.4× 49 1.1× 12 558
Patricia Dranchak United States 14 343 0.8× 49 0.4× 24 0.2× 27 0.5× 44 1.0× 34 576
Elizabeth K. Culyba United States 9 621 1.5× 48 0.4× 34 0.3× 68 1.2× 22 0.5× 11 853
Sandra Chuppa United States 12 531 1.3× 26 0.2× 140 1.4× 41 0.7× 56 1.3× 13 674
Bhanu Chandra Mulukutla United States 14 804 1.9× 31 0.3× 81 0.8× 131 2.3× 118 2.7× 18 911
P. Rajesh Kumar India 15 396 0.9× 22 0.2× 62 0.6× 21 0.4× 39 0.9× 21 529
Wenxuan Cai United States 19 645 1.5× 117 1.1× 98 1.0× 43 0.8× 25 0.6× 34 996
Steven Lee United States 12 606 1.4× 49 0.4× 153 1.5× 142 2.5× 40 0.9× 20 836
Jessica L. Goodman United States 12 752 1.8× 251 2.3× 27 0.3× 17 0.3× 62 1.4× 12 987
Takaomi Ito Japan 11 367 0.9× 48 0.4× 32 0.3× 63 1.1× 30 0.7× 14 466

Countries citing papers authored by Leo Scheller

Since Specialization
Citations

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

Fields of papers citing papers by Leo Scheller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Scheller

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

All Works

19 of 19 papers shown
1.
Buckley, Stephen, Arne Schneuing, Martin Pačesa, et al.. (2025). Targeting protein–ligand neosurfaces with a generalizable deep learning tool. Nature. 639(8054). 522–531. 19 indexed citations breakdown →
2.
Attianese, Greta Maria Paola Giordano, Sailan Shui, Elisabetta Cribioli, et al.. (2024). Dual ON/OFF-switch chimeric antigen receptor controlled by two clinically approved drugs. Proceedings of the National Academy of Sciences. 121(44). e2405085121–e2405085121. 5 indexed citations
3.
Bonati, Lucia, Sailan Shui, Leo Scheller, et al.. (2023). Rational Design of Chemically Controlled Antibodies and Protein Therapeutics. ACS Chemical Biology. 18(6). 1259–1265. 11 indexed citations
4.
Shui, Sailan, Leo Scheller, & Bruno E. Correia. (2023). Protein-based bandpass filters for controlling cellular signaling with chemical inputs. Nature Chemical Biology. 20(5). 586–593. 8 indexed citations
5.
Shui, Sailan, Stephen Buckley, Leo Scheller, & Bruno E. Correia. (2023). Rational design of small‐molecule responsive protein switches. Protein Science. 32(10). e4774–e4774. 3 indexed citations
6.
Strittmatter, Tobias, Yidan Wang, Leo Scheller, et al.. (2022). Programmable DARPin-based receptors for the detection of thrombotic markers. Nature Chemical Biology. 18(10). 1125–1134. 15 indexed citations
7.
Yang, Che, Fabian Sesterhenn, Jaume Bonet, et al.. (2021). Bottom-up de novo design of functional proteins with complex structural features. Nature Chemical Biology. 17(4). 492–500. 62 indexed citations
8.
Shui, Sailan, Pablo Gaínza, Leo Scheller, et al.. (2021). A rational blueprint for the design of chemically-controlled protein switches. Nature Communications. 12(1). 5754–5754. 21 indexed citations
9.
Scheller, Leo, et al.. (2020). Phosphoregulated orthogonal signal transduction in mammalian cells. Nature Communications. 11(1). 3085–3085. 27 indexed citations
10.
Sieber, Simon, David Fuchs, Leo Scheller, et al.. (2020). Genetically encoded betaxanthin-based small-molecular fluorescent reporter for mammalian cells. Nucleic Acids Research. 48(12). e67–e67. 8 indexed citations
11.
Krawczyk, Krzysztof, Leo Scheller, Hyojin Kim, & Martin Fussenegger. (2020). Rewiring of endogenous signaling pathways to genomic targets for therapeutic cell reprogramming. Nature Communications. 11(1). 608–608. 36 indexed citations
12.
Scheller, Leo, et al.. (2020). Calcium‐Mediated Liposome Fusion to Engineer Giant Lipid Vesicles with Cytosolic Proteins and Reconstituted Mammalian Proteins. Advanced Biosystems. 4(11). e2000153–e2000153. 11 indexed citations
13.
Müller, Marius, et al.. (2019). A modular degron library for synthetic circuits in mammalian cells. Nature Communications. 10(1). 2013–2013. 39 indexed citations
14.
Scheller, Leo & Martin Fussenegger. (2019). From synthetic biology to human therapy: engineered mammalian cells. Current Opinion in Biotechnology. 58. 108–116. 35 indexed citations
15.
Scheller, Leo, Tobias Strittmatter, David Fuchs, Daniel Bojar, & Martin Fussenegger. (2018). Generalized extracellular molecule sensor platform for programming cellular behavior. Nature Chemical Biology. 14(7). 723–729. 109 indexed citations
16.
Bojar, Daniel, Leo Scheller, Ghislaine Charpin‐El Hamri, Mingqi Xie, & Martin Fussenegger. (2018). Caffeine-inducible gene switches controlling experimental diabetes. Nature Communications. 9(1). 2318–2318. 58 indexed citations
17.
Kojima, Ryosuke, Leo Scheller, & Martin Fussenegger. (2017). Nonimmune cells equipped with T-cell-receptor-like signaling for cancer cell ablation. Nature Chemical Biology. 14(1). 42–49. 36 indexed citations
18.
Schleicher, E., Leo Scheller, & O. Wieland. (1981). Quantitation of lysine-bound glucose of normal and diabetic erythrocyte membranes by HPLC analysis of furosine [ε-N(L-furoylmethyl)-L-lysine]. Biochemical and Biophysical Research Communications. 99(3). 1011–1019. 41 indexed citations
19.
Schleicher, E., et al.. (1981). Quantitative investigation of nonenzymatic glucosylation of erythrocyte membrane from normal and diabetic persons.. PubMed. 11. 95–7. 2 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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