Yolanda Schaerli

2.9k total citations · 1 hit paper
38 papers, 2.1k citations indexed

About

Yolanda Schaerli is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Yolanda Schaerli has authored 38 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Biomedical Engineering and 13 papers in Genetics. Recurrent topics in Yolanda Schaerli's work include Gene Regulatory Network Analysis (18 papers), Innovative Microfluidic and Catalytic Techniques Innovation (9 papers) and CRISPR and Genetic Engineering (9 papers). Yolanda Schaerli is often cited by papers focused on Gene Regulatory Network Analysis (18 papers), Innovative Microfluidic and Catalytic Techniques Innovation (9 papers) and CRISPR and Genetic Engineering (9 papers). Yolanda Schaerli collaborates with scholars based in Switzerland, United Kingdom and Spain. Yolanda Schaerli's co-authors include Florian Hollfelder, Chris Abell, Martin Fischlechner, Wilhelm T. S. Huck, Ashleigh B. Theberge, Fabienne Courtois, Javier Santos‐Moreno, Mark Isalan, Magüi Gili and Mark A. A. Neil and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Yolanda Schaerli

36 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Microdroplets in Microfluidics: An Evolving Platform for Discoveries in Chemistry and Biology

2010 886 citations Yolanda Schaerli, Martin Fischlechner et al. profile →

Peers

Yolanda Schaerli

BE

MB

EEE

GENET

MC

Martin Fischlechner United Kingdom

Michaël Ryckelynck France

Omar A. Saleh United States

Oliver J. Miller France

Misha Soskine Netherlands

Charlie Gosse France

Polly M. Fordyce United States

Christoph Heller Germany

Jeanne C. Stachowiak United States

Haakan N. Joensson Sweden

Martin Fischlechner United Kingdom

Yolanda Schaerli

1.9k ×1.4

BE

793 ×1.0

MB

935 ×1.4

EEE

120 ×0.6

GENET

236 ×1.8

MC

Citations per year, relative to Yolanda Schaerli Yolanda Schaerli (= 1×) peers Martin Fischlechner

Countries citing papers authored by Yolanda Schaerli

Since Specialization

Citations

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

Fields of papers citing papers by Yolanda Schaerli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yolanda Schaerli

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

All Works

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20 of 20 papers shown

1.

Holló, Gábor, et al.. (2025). A tool for modeling gene regulatory networks (GRN_modeler) and its applications to synthetic biology. Molecular Systems Biology. 21(11). 1618–1637.

2.

Holló, Gábor, et al.. (2025). Uptake and leakage rates differentially shape community arrangement and composition of microbial consortia. The ISME Journal. 19(1). 1 indexed citations

3.

Baier, Florian, et al.. (2025). A direct experimental test of Ohno’s hypothesis. eLife. 13. 1 indexed citations

4.

Avendaño, Roberto, et al.. (2025). Engineering intercellular communication using M13 phagemid and CRISPR-based gene regulation for multicellular computing in Escherichia coli. Nature Communications. 16(1). 3569–3569. 3 indexed citations

5.

Cabirol, Amélie, et al.. (2024). Fecal transplant allows transmission of the gut microbiota in honey bees. mSphere. 9(9). e0026224–e0026224. 4 indexed citations

6.

Holló, Gábor, et al.. (2024). From resonance to chaos by modulating spatiotemporal patterns through a synthetic optogenetic oscillator. Nature Communications. 15(1). 7284–7284. 7 indexed citations

7.

Jolly, Mohit Kumar, et al.. (2023). Synthetic Gene Circuits Combining CRISPR Interference and CRISPR Activation in E. coli : Importance of Equal Guide RNA Binding Affinities to Avoid Context-Dependent Effects. ACS Synthetic Biology. 12(10). 3064–3071. 7 indexed citations

8.

Santos‐Moreno, Javier, et al.. (2023). Robustness and innovation in synthetic genotype networks. Nature Communications. 14(1). 16 indexed citations

9.

Raaphorst, Renske van, Javier Santos‐Moreno, Géraldine Laloux, et al.. (2023). Synthetic genetic oscillators demonstrate the functional importance of phenotypic variation in pneumococcal-host interactions. Nature Communications. 14(1). 7454–7454. 10 indexed citations

10.

Schaerli, Yolanda, et al.. (2022). Engineering synthetic spatial patterns in microbial populations and communities. Current Opinion in Microbiology. 67. 102149–102149. 17 indexed citations

11.

Santos‐Moreno, Javier, et al.. (2020). Multistable and dynamic CRISPRi-based synthetic circuits. Nature Communications. 11(1). 2746–2746. 88 indexed citations

12.

Perez‐Carrasco, Rubén, C. Barnes, Yolanda Schaerli, et al.. (2018). Combining a Toggle Switch and a Repressilator within the AC-DC Circuit Generates Distinct Dynamical Behaviors. Cell Systems. 6(4). 521–530.e3. 60 indexed citations

13.

Hänzelmann, Sonja, Saburo Tsuru, Yolanda Schaerli, et al.. (2015). The propagation of perturbations in rewired bacterial gene networks. Nature Communications. 6(1). 10105–10105. 14 indexed citations

14.

Schaerli, Yolanda, Magüi Gili, & Mark Isalan. (2014). A split intein T7 RNA polymerase for transcriptional AND-logic. Nucleic Acids Research. 42(19). 12322–12328. 43 indexed citations

15.

Fischlechner, Martin, et al.. (2014). Evolution of enzyme catalysts caged in biomimetic gel-shell beads. Nature Chemistry. 6(9). 791–796. 132 indexed citations

16.

Schaerli, Yolanda & Mark Isalan. (2013). Building synthetic gene circuits from combinatorial libraries: screening and selection strategies. Molecular BioSystems. 9(7). 1559–1567. 28 indexed citations

17.

Gatti‐Lafranconi, Pietro, et al.. (2013). In vitro affinity screening of protein and peptide binders by megavalent bead surface display. Protein Engineering Design and Selection. 26(10). 713–724. 34 indexed citations

18.

Schaerli, Yolanda, Viktor Stein, Michelle M. Spiering, et al.. (2010). Isothermal DNA amplification using the T4 replisome: circular nicking endonuclease-dependent amplification and primase-based whole-genome amplification. Nucleic Acids Research. 38(22). e201–e201. 23 indexed citations

19.

Schaerli, Yolanda & Florian Hollfelder. (2009). The potential of microfluidic water-in-oil droplets in experimental biology. Molecular BioSystems. 5(12). 1392–1404. 123 indexed citations

20.

Robinson, Tom, Yolanda Schaerli, Robert C. R. Wootton, et al.. (2009). Removal of background signals from fluorescence thermometry measurements in PDMS microchannels using fluorescence lifetime imaging. Lab on a Chip. 9(23). 3437–3437. 29 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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