Lorenzo Pasotti

913 total citations
40 papers, 580 citations indexed

About

Lorenzo Pasotti is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Lorenzo Pasotti has authored 40 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Biomedical Engineering and 12 papers in Genetics. Recurrent topics in Lorenzo Pasotti's work include Gene Regulatory Network Analysis (12 papers), CRISPR and Genetic Engineering (12 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Lorenzo Pasotti is often cited by papers focused on Gene Regulatory Network Analysis (12 papers), CRISPR and Genetic Engineering (12 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Lorenzo Pasotti collaborates with scholars based in Italy, France and United Kingdom. Lorenzo Pasotti's co-authors include Paolo Magni, Susanna Zucca, Maria Gabriella Cusella De Angelis, Michela Casanova, Claudio Ciavatta, P. Sequi, M. Govi, G. Micoli, Ilaria Massaiu and Cinzia Calvio and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lorenzo Pasotti

40 papers receiving 561 citations

Peers

Lorenzo Pasotti

GENET

Robert G. Egbert United States

Xiaoxing Wei China

Jinyue Wang China

Bing Lu China

John J. Tomashek United States

Edwin H. Wintermute France

Defu Chen China

Ryan Tsoi United States

Amber N. Bible United States

Yu Ziniu China

Robert G. Egbert United States

Lorenzo Pasotti

344 ×0.9

89 ×0.5

88 ×0.8

GENET

30 ×0.7

92 ×2.1

Citations per year, relative to Lorenzo Pasotti Lorenzo Pasotti (= 1×) peers Robert G. Egbert

Countries citing papers authored by Lorenzo Pasotti

Since Specialization

Citations

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

Fields of papers citing papers by Lorenzo Pasotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Pasotti

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Pasotti. A scholar is included among the top collaborators of Lorenzo Pasotti 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 Lorenzo Pasotti. Lorenzo Pasotti 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

Börner, Andreas, et al.. (2025). Application of machine learning models for non-invasive seed quality detection. Current Plant Biology. 44. 100557–100557. 1 indexed citations

Casanova, Michela, et al.. (2024). An In Vitro Study on the Role of Cellulases and Xylanases of Bacillus subtilis in Dairy Cattle Nutrition. Microorganisms. 12(2). 300–300. 3 indexed citations

Leonetti, Paola, et al.. (2024). Exploring the putative microRNAs cross-kingdom transfer in Solanum lycopersicum-Meloidogyne incognita interactions. Frontiers in Plant Science. 15. 1383986–1383986. 1 indexed citations

Salibi, Elia, Michela Casanova, Ignazio Castagliuolo, et al.. (2022). CRISPR Interference Modules as Low-Burden Logic Inverters in Synthetic Circuits. Frontiers in Bioengineering and Biotechnology. 9. 743950–743950. 6 indexed citations

Huang, Hsin-Ho, et al.. (2021). dCas9 regulator to neutralize competition in CRISPRi circuits. Nature Communications. 12(1). 1692–1692. 35 indexed citations

Meo, Simona Di, et al.. (2020). Combining Millimeter-Wave Imaging, Ultrasound and Elastography in a New Multimodal Approach for Breast Cancer Detection: Initial Experimental Results. PubMed. 2020. 1807–1810. 5 indexed citations

Pasotti, Lorenzo, Michela Casanova, Ilaria Massaiu, et al.. (2020). Engineering endogenous fermentative routes in ethanologenic Escherichia coli W for bioethanol production from concentrated whey permeate. New Biotechnology. 57. 55–66. 8 indexed citations

Magni, Paolo, et al.. (2020). Ethambutol disposition in humans: Challenges and limitations of whole-body physiologically-based pharmacokinetic modelling in early drug development. European Journal of Pharmaceutical Sciences. 150. 105359–105359. 3 indexed citations

Meo, Simona Di, Lorenzo Pasotti, Marco Pasian, et al.. (2019). Tissue-mimicking materials for breast phantoms up to 50 GHz. Physics in Medicine and Biology. 64(5). 55006–55006. 47 indexed citations

10.

Massaiu, Ilaria, Lorenzo Pasotti, Nikolaus Sonnenschein, et al.. (2019). Integration of enzymatic data in Bacillus subtilis genome-scale metabolic model improves phenotype predictions and enables in silico design of poly-γ-glutamic acid production strains. Microbial Cell Factories. 18(1). 3–3. 57 indexed citations

11.

Pasotti, Lorenzo, et al.. (2017). Re-using biological devices: a model-aided analysis of interconnected transcriptional cascades designed from the bottom-up. Journal of Biological Engineering. 11(1). 50–50. 7 indexed citations

12.

Bandiera, Lucia, Alice Pasini, Lorenzo Pasotti, et al.. (2016). Experimental measurements and mathematical modeling of biological noise arising from transcriptional and translational regulation of basic synthetic gene circuits. Journal of Theoretical Biology. 395. 153–160. 11 indexed citations

13.

Casanova, Michela, Lorenzo Pasotti, Susanna Zucca, et al.. (2016). A BioBrick™-Compatible Vector for Allelic Replacement Using the XylE Gene as Selection Marker. Biological Procedures Online. 18(1). 6–6. 3 indexed citations

14.

Zucca, Susanna, Lorenzo Pasotti, Michela Casanova, et al.. (2015). Multi-Faceted Characterization of a Novel LuxR-Repressible Promoter Library for Escherichia coli. PLoS ONE. 10(5). e0126264–e0126264. 20 indexed citations

15.

Pasotti, Lorenzo, Susanna Zucca, Michela Casanova, et al.. (2015). Methods for genetic optimization of biocatalysts for biofuel production from dairy waste through synthetic biology. 953–956. 3 indexed citations

16.

Pasotti, Lorenzo & Susanna Zucca. (2014). Advances and Computational Tools towards Predictable Design in Biological Engineering. Computational and Mathematical Methods in Medicine. 2014. 1–16. 21 indexed citations

17.

Zucca, Susanna, et al.. (2013). A standard vector for the chromosomal integration and characterization of BioBrick™ parts in Escherichia coli. Journal of Biological Engineering. 7(1). 12–12. 26 indexed citations

18.

Pasotti, Lorenzo, et al.. (2012). Bottom-Up Engineering of Biological Systems through Standard Bricks: A Modularity Study on Basic Parts and Devices. PLoS ONE. 7(7). e39407–e39407. 25 indexed citations

19.

Pasotti, Lorenzo, et al.. (2011). Characterization of a synthetic bacterial self-destruction device for programmed cell death and for recombinant proteins release. Journal of Biological Engineering. 5(1). 8–8. 31 indexed citations

20.

Pasotti, Lorenzo, Mattia Quattrocelli, Daniela Galli, Maria Gabriella Cusella De Angelis, & Paolo Magni. (2011). Multiplexing and demultiplexing logic functions for computing signal processing tasks in synthetic biology. Biotechnology Journal. 6(7). 784–795. 23 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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