Luca Ferretti

7.3k total citations · 2 hit papers
78 papers, 3.1k citations indexed

About

Luca Ferretti is a scholar working on Genetics, Molecular Biology and Modeling and Simulation. According to data from OpenAlex, Luca Ferretti has authored 78 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Genetics, 21 papers in Molecular Biology and 13 papers in Modeling and Simulation. Recurrent topics in Luca Ferretti's work include Evolution and Genetic Dynamics (14 papers), COVID-19 epidemiological studies (13 papers) and Genomics and Phylogenetic Studies (12 papers). Luca Ferretti is often cited by papers focused on Evolution and Genetic Dynamics (14 papers), COVID-19 epidemiological studies (13 papers) and Genomics and Phylogenetic Studies (12 papers). Luca Ferretti collaborates with scholars based in United Kingdom, Spain and Italy. Luca Ferretti's co-authors include Chris Wymant, Christophe Fraser, Michelle Kendall, Lucie Abeler‐Dörner, David Bonsall, Lele Zhao, Anel Nurtay, Michael Parker, Miguel Pérez‐Enciso and Sebastián E. Ramos‐Onsins and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Luca Ferretti

72 papers receiving 3.1k 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.

Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing

2020 1.5k citations Luca Ferretti, Chris Wymant et al. Science profile →
The epidemiological impact of the NHS COVID-19 app

2021 163 citations Chris Wymant, Luca Ferretti et al. Nature profile →

Peers

Luca Ferretti

GENET

SPS

Ciro Cattuto Italy

Samuel V. Scarpino United States

Marcel Salathé Switzerland

Ken Eames United Kingdom

León Danon United Kingdom

Dirk Brockmann Germany

Louis du Plessis United Kingdom

Lin Wang China

Cláudia Torres Codeço Brazil

Jonathan M. Read United Kingdom

Ciro Cattuto Italy

Luca Ferretti

1.2k ×1.2

891 ×1.1

210 ×0.3

GENET

292 ×0.5

885 ×1.9

SPS

Citations per year, relative to Luca Ferretti Luca Ferretti (= 1×) peers Ciro Cattuto

Countries citing papers authored by Luca Ferretti

Since Specialization

Citations

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

Fields of papers citing papers by Luca Ferretti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Ferretti

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

Tan, Joanna Weihui, et al.. (2025). Lessons for future outbreaks from successful contact tracing systems in Asia. The Lancet Regional Health - Western Pacific. 58. 101563–101563.

Lauro, Francesco Di, William J. M. Probert, Michael Pickles, et al.. (2025). Large connected components in sexual networks and their role in HIV transmission in Sub-Saharan Africa: A model-based analysis of HPTN 071(PopART) data. Journal of Theoretical Biology. 613. 112218–112218.

Kendall, Michelle, Luca Ferretti, Chris Wymant, et al.. (2024). Drivers of epidemic dynamics in real time from daily digital COVID-19 measurements. Science. 385(6710). eadm8103–eadm8103. 6 indexed citations

d’Andrea, Valeria, Francesco Di Lauro, Adrian Zachariae, et al.. (2023). Enhancing global preparedness during an ongoing pandemic from partial and noisy data. PNAS Nexus. 2(6). pgad192–pgad192. 7 indexed citations

Kendall, Michelle, et al.. (2023). Epidemiological impacts of the NHS COVID-19 app in England and Wales throughout its first year. Nature Communications. 14(1). 858–858. 22 indexed citations

Ramos‐Onsins, Sebastián E., Giacomo Marmorini, Guillaume Achaz, & Luca Ferretti. (2023). A General Framework for Neutrality Tests Based on the Site Frequency Spectrum. Genes. 14(9). 1714–1714.

Taglienti, Anna, et al.. (2023). In Vivo Antiphytoviral and Aphid Repellency Activity of Essential Oils and Hydrosols from Mentha suaveolens and Foeniculum vulgare to Control Zucchini Yellow Mosaic Virus and Its Vector Aphis gossypii. Plants. 12(5). 1078–1078. 8 indexed citations

Ferretti, Luca, Chris Wymant, Michelle Kendall, et al.. (2023). Digital measurement of SARS-CoV-2 transmission risk from 7 million contacts. Nature. 626(7997). 145–150. 28 indexed citations

Hinch, Robert, Jasmina Panovska‐Griffiths, William J. M. Probert, et al.. (2022). Estimating SARS-CoV-2 variant fitness and the impact of interventions in England using statistical and geo-spatial agent-based models. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2233). 20210304–20210304. 9 indexed citations

10.

Panovska‐Griffiths, Jasmina, Ben Swallow, Robert Hinch, et al.. (2022). Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2233). 20210315–20210315. 19 indexed citations

11.

Ferretti, Luca, Matteo Floris, Federica Loi, et al.. (2021). First Genomic Evidence of Dual African Swine Fever Virus Infection: Case Report from Recent and Historical Outbreaks in Sardinia. Viruses. 13(11). 2145–2145. 6 indexed citations

12.

Ghafari, Mahan, Majid Heydari, Sirous Zeinali, et al.. (2021). Lessons for preparedness and reasons for concern from the early COVID-19 epidemic in Iran. Epidemics. 36. 100472–100472. 17 indexed citations

13.

Wymant, Chris, Luca Ferretti, Lucie Abeler‐Dörner, et al.. (2021). The epidemiological impact of the NHS COVID-19 app. Nature. 594(7863). 408–412. 163 indexed citations breakdown →

14.

Sanna, Daria, Fabio Scarpa, Matteo Floris, et al.. (2021). A Deeper Insight into Evolutionary Patterns and Phylogenetic History of ASFV Epidemics in Sardinia (Italy) through Extensive Genomic Sequencing. Viruses. 13(10). 1994–1994. 18 indexed citations

15.

Ferretti, Luca, Chris Wymant, Michelle Kendall, et al.. (2020). Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing. Science. 368(6491). 1519 indexed citations breakdown →

16.

Zhao, Lele, Alice Ledda, Wei Wei Liu, et al.. (2020). Patterns of RNA Editing in Newcastle Disease Virus Infections. Viruses. 12(11). 1249–1249. 17 indexed citations

17.

Zhao, Lele, Wei Wei Liu, Chan Ding, et al.. (2020). Genomic Diversity and Evolution of Quasispecies in Newcastle Disease Virus Infections. Viruses. 12(11). 1305–1305. 11 indexed citations

18.

Ferretti, Luca, Alexander Klassmann, Emanuele Raineri, et al.. (2018). The neutral frequency spectrum of linked sites. Theoretical Population Biology. 123. 70–79. 6 indexed citations

19.

Ferretti, Luca, Alice Ledda, Guillaume Achaz, Thomas Wiehe, & Sebastián E. Ramos‐Onsins. (2015). Decomposing the site frequency spectrum: the impact of tree topology on\n neutrality tests. arXiv (Cornell University). 16 indexed citations

20.

Ferretti, Luca, Sebastián E. Ramos‐Onsins, & Miguel Pérez‐Enciso. (2013). Population genomics from pool sequencing. Molecular Ecology. 22(22). 5561–5576. 102 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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