Luca Ciandrini

896 total citations
22 papers, 495 citations indexed

About

Luca Ciandrini is a scholar working on Molecular Biology, Mathematical Physics and Condensed Matter Physics. According to data from OpenAlex, Luca Ciandrini has authored 22 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Mathematical Physics and 8 papers in Condensed Matter Physics. Recurrent topics in Luca Ciandrini's work include Stochastic processes and statistical mechanics (9 papers), RNA and protein synthesis mechanisms (9 papers) and Theoretical and Computational Physics (8 papers). Luca Ciandrini is often cited by papers focused on Stochastic processes and statistical mechanics (9 papers), RNA and protein synthesis mechanisms (9 papers) and Theoretical and Computational Physics (8 papers). Luca Ciandrini collaborates with scholars based in France, United Kingdom and Italy. Luca Ciandrini's co-authors include M. Carmen Romano, Ian Stansfield, Rémy Bailly, Matteo Paloni, Alessandro Barducci, Juraj Szavits-Nossan, Rosalind J. Allen, Philip Greulich, Chris A. Brackley and Andrea Parmeggiani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Luca Ciandrini

21 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Ciandrini France 12 378 141 114 73 60 22 495
Juraj Szavits-Nossan United Kingdom 10 141 0.4× 64 0.5× 68 0.6× 24 0.3× 38 0.6× 22 284
Greg Lakatos United States 6 164 0.4× 209 1.5× 182 1.6× 31 0.4× 99 1.6× 16 382
Kirill Polovnikov Russia 12 177 0.5× 21 0.1× 23 0.2× 29 0.4× 6 0.1× 27 396
Marco Zamparo Italy 9 299 0.8× 13 0.1× 31 0.3× 42 0.6× 5 0.1× 26 371
Nicolas Levernier France 9 164 0.4× 54 0.4× 33 0.3× 7 0.1× 8 0.1× 12 287
Otto Pulkkinen Finland 9 157 0.4× 21 0.1× 13 0.1× 47 0.6× 3 0.1× 16 251
George Chikenji Japan 11 425 1.1× 11 0.1× 59 0.5× 15 0.2× 4 0.1× 29 477
Stefan Hellander Sweden 10 234 0.6× 13 0.1× 5 0.0× 54 0.7× 7 0.1× 17 278
Dan T. Gillespie United States 10 365 1.0× 8 0.1× 8 0.1× 99 1.4× 6 0.1× 12 433
Robert G. Scharein United States 9 160 0.4× 28 0.2× 22 0.2× 31 0.4× 16 353

Countries citing papers authored by Luca Ciandrini

Since Specialization
Citations

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

Fields of papers citing papers by Luca Ciandrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Ciandrini

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

All Works

20 of 20 papers shown
1.
Fuchs, Pinhas, et al.. (2025). Incoherent feedback from coupled amino acids and ribosome pools generates damped oscillations in growing E. coli. Nature Communications. 16(1). 3063–3063.
2.
Ciandrini, Luca, et al.. (2024). How total mRNA influences cell growth. Proceedings of the National Academy of Sciences. 121(21). e2400679121–e2400679121. 2 indexed citations
3.
Ciandrini, Luca, et al.. (2024). Optimal control of ribosome population for gene expression under periodic nutrient intake. Journal of The Royal Society Interface. 21(212). 20230652–20230652. 1 indexed citations
4.
Ciandrini, Luca, et al.. (2023). Codebase release 1.1 for TASEPy. 1 indexed citations
5.
Ciandrini, Luca, et al.. (2023). TASEPy: A Python-based package to iteratively solve the inhomogeneous exclusion process. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
6.
Grilli, Jacopo, et al.. (2022). Protein degradation sets the fraction of active ribosomes at vanishing growth. PLoS Computational Biology. 18(5). e1010059–e1010059. 14 indexed citations
7.
Szavits-Nossan, Juraj & Luca Ciandrini. (2020). Inferring efficiency of translation initiation and elongation from ribosome profiling. Nucleic Acids Research. 48(17). 9478–9490. 19 indexed citations
8.
Zúñiga, Ana, Sarah Guiziou, Pauline Mayonove, et al.. (2020). Rational programming of history-dependent logic in cellular populations. Nature Communications. 11(1). 4758–4758. 19 indexed citations
9.
Rudge, Timothy J., et al.. (2019). An equilibrium model for ribosome competition. Physical Biology. 17(1). 15002–15002. 2 indexed citations
10.
Ciandrini, Luca, et al.. (2019). Driven transport on a flexible polymer with particle recycling: A model inspired by transcription and translation. Physical review. E. 99(5). 52409–52409. 9 indexed citations
11.
Szavits-Nossan, Juraj, Luca Ciandrini, & M. Carmen Romano. (2018). Deciphering mRNA Sequence Determinants of Protein Production Rate. Physical Review Letters. 120(12). 128101–128101. 21 indexed citations
12.
Szavits-Nossan, Juraj, M. Carmen Romano, & Luca Ciandrini. (2018). Power series solution of the inhomogeneous exclusion process. Physical review. E. 97(5). 52139–52139. 11 indexed citations
13.
Gorgoni, Barbara, et al.. (2016). Identification of the mRNA targets of tRNA-specific regulation using genome-wide simulation of translation. Nucleic Acids Research. 44(19). gkw630–gkw630. 17 indexed citations
14.
Ciandrini, Luca, M. Carmen Romano, & Andrea Parmeggiani. (2014). Stepping and Crowding of Molecular Motors: Statistical Kinetics from an Exclusion Process Perspective. Biophysical Journal. 107(5). 1176–1184. 10 indexed citations
15.
Turci, Francesco, Andrea Parmeggiani, Estelle Pitard, M. Carmen Romano, & Luca Ciandrini. (2013). Transport on a lattice with dynamical defects. Physical Review E. 87(1). 12705–12705. 19 indexed citations
16.
Ciandrini, Luca, Ian Stansfield, & M. Carmen Romano. (2013). Ribosome Traffic on mRNAs Maps to Gene Ontology: Genome-wide Quantification of Translation Initiation Rates and Polysome Size Regulation. PLoS Computational Biology. 9(1). e1002866–e1002866. 89 indexed citations
17.
Greulich, Philip, Luca Ciandrini, Rosalind J. Allen, & M. Carmen Romano. (2012). Mixed population of competing totally asymmetric simple exclusion processes with a shared reservoir of particles. Physical Review E. 85(1). 11142–11142. 54 indexed citations
18.
Kemp, Alain J., et al.. (2012). A yeast tRNA mutant that causes pseudohyphal growth exhibits reduced rates of CAG codon translation. Molecular Microbiology. 87(2). 284–300. 26 indexed citations
19.
Ciandrini, Luca, Ian Stansfield, & M. Carmen Romano. (2010). Role of the particle’s stepping cycle in an asymmetric exclusion process: A model of mRNA translation. Physical Review E. 81(5). 51904–51904. 56 indexed citations
20.
Ciandrini, Luca, et al.. (2009). Feedback topology and XOR-dynamics in Boolean networks with varying input structure. Physical Review E. 80(2). 26122–26122. 1 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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