Chiara Poletto

5.2k total citations · 1 hit paper
58 papers, 3.1k citations indexed

About

Chiara Poletto is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Chiara Poletto has authored 58 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Modeling and Simulation, 23 papers in Epidemiology and 21 papers in Infectious Diseases. Recurrent topics in Chiara Poletto's work include COVID-19 epidemiological studies (39 papers), Influenza Virus Research Studies (14 papers) and Data-Driven Disease Surveillance (10 papers). Chiara Poletto is often cited by papers focused on COVID-19 epidemiological studies (39 papers), Influenza Virus Research Studies (14 papers) and Data-Driven Disease Surveillance (10 papers). Chiara Poletto collaborates with scholars based in France, Italy and United States. Chiara Poletto's co-authors include Vittoria Colizza, Pierre‐Yves Boëlle, Michele Tizzoni, Alessandro Vespignani, Eugenio Valdano, José J. Ramasco, Francesco Pinotti, Paolo Bajardi, Giulia Pullano and Yazdan Yazdanpanah and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Chiara Poletto

57 papers receiving 3.0k 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.

Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study

2020 785 citations Marius Gilbert, Giulia Pullano et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chiara Poletto France	27	1.8k	882	677	640	544	58	3.1k
Bryan Lewis United States	24	1.8k 1.0×	997 1.1×	937 1.4×	428 0.7×	421 0.8×	85	3.1k
Sen Pei United States	24	2.0k 1.1×	1.4k 1.6×	777 1.1×	393 0.6×	674 1.2×	116	4.3k
Kaiyuan Sun United States	17	2.5k 1.4×	1.1k 1.3×	738 1.1×	485 0.8×	1.1k 2.0×	28	4.0k
Jonathan M. Read United Kingdom	28	1.5k 0.8×	1.2k 1.4×	1.1k 1.6×	485 0.8×	250 0.5×	93	3.4k
Samuel V. Scarpino United States	26	2.4k 1.4×	855 1.0×	1.0k 1.5×	445 0.7×	953 1.8×	67	4.8k
Ana Pastore y Piontti United States	16	2.9k 1.6×	1.2k 1.4×	799 1.2×	581 0.9×	1.1k 2.1×	29	4.2k
Shweta Bansal United States	30	1.5k 0.8×	733 0.8×	763 1.1×	942 1.5×	264 0.5×	118	3.9k
Matteo Chinazzi United States	21	2.6k 1.5×	923 1.0×	776 1.1×	450 0.7×	1.2k 2.3×	37	4.2k
Gianpaolo Scalia Tomba Italy	16	1.9k 1.0×	706 0.8×	1.4k 2.0×	421 0.7×	326 0.6×	45	2.8k
Huaiyu Tian China	28	2.0k 1.1×	1.7k 1.9×	982 1.5×	774 1.2×	859 1.6×	93	4.7k

Countries citing papers authored by Chiara Poletto

Since Specialization

Citations

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

Fields of papers citing papers by Chiara Poletto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Poletto

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

Bedford, Trevor, Marc A. Suchard, Nídia S. Trovão, et al.. (2024). Integrating dynamical modeling and phylogeographic inference to characterize global influenza circulation. PNAS Nexus. 4(1). pgae561–pgae561. 1 indexed citations

Vergu, Elisabeta, et al.. (2022). Retrospective analysis of SARS-CoV-2 omicron invasion over delta in French regions in 2021–22: a status-based multi-variant model. BMC Infectious Diseases. 22(1). 815–815. 3 indexed citations

Poletto, Chiara, et al.. (2022). Contact patterns and HPV-genotype interactions yield heterogeneous HPV-vaccine impacts depending on sexual behaviors: An individual-based model. Epidemics. 39. 100584–100584. 3 indexed citations

Bioglio, Livio, Francesco Pinotti, Pierre‐Yves Boëlle, et al.. (2021). Anatomy of digital contact tracing: Role of age, transmission setting, adoption, and case detection. Science Advances. 7(15). 56 indexed citations

Lemey, Philippe, Nick Ruktanonchai, Samuel L. Hong, et al.. (2021). Untangling introductions and persistence in COVID-19 resurgence in Europe. Nature. 595(7869). 713–717. 89 indexed citations

Pinotti, Francesco, Fakhteh Ghanbarnejad, Philipp Hövel, & Chiara Poletto. (2020). Interplay between competitive and cooperative interactions in a three-player pathogen system. Research Padua Archive (University of Padua). 12 indexed citations

Lemey, Philippe, Samuel L. Hong, Verity Hill, et al.. (2020). Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2. Nature Communications. 11(1). 5110–5110. 85 indexed citations

Poletto, Chiara, Samuel V. Scarpino, & Erik Volz. (2020). Applications of predictive modelling early in the COVID-19 epidemic. The Lancet Digital Health. 2(10). e498–e499. 24 indexed citations

Gilbert, Marius, Giulia Pullano, Francesco Pinotti, et al.. (2020). Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study. The Lancet. 395(10227). 871–877. 785 indexed citations breakdown →

10.

Pinotti, Francesco, Éric Fleury, Didier Guillemot, Pierre‐Yves Boëlle, & Chiara Poletto. (2019). Host contact dynamics shapes richness and dominance of pathogen strains. PLoS Computational Biology. 15(5). e1006530–e1006530. 8 indexed citations

11.

Serra‐Cobo, Jordi, Raphaëlle Métras, Andrea Apolloni, et al.. (2019). Mechanisms for lyssavirus persistence in non-synanthropic bats in Europe: insights from a modeling study. Scientific Reports. 9(1). 537–537. 20 indexed citations

12.

Valdano, Eugenio, Chiara Poletto, Armando Giovannini, et al.. (2018). Network-based assessment of the vulnerability of Italian regions to bovine brucellosis. Preventive Veterinary Medicine. 158. 25–34. 14 indexed citations

13.

Kerckhove, Kim Van, Pietro Coletti, Chiara Poletto, et al.. (2018). The impact of regular school closure on seasonal influenza epidemics: a data-driven spatial transmission model for Belgium. BMC Infectious Diseases. 18(1). 29–29. 85 indexed citations

14.

Riou, Julien, Chiara Poletto, & Pierre‐Yves Boëlle. (2018). Improving early epidemiological assessment of emerging Aedes-transmitted epidemics using historical data. PLoS neglected tropical diseases. 12(6). e0006526–e0006526. 3 indexed citations

15.

Apolloni, Andrea, Chiara Poletto, & Vittoria Colizza. (2013). Age-specific contacts and travel patterns in the spatial spread of 2009 H1N1 influenza pandemic. BMC Infectious Diseases. 13(1). 176–176. 59 indexed citations

16.

Poletto, Chiara, Sandro Meloni, Vittoria Colizza, Yamir Moreno, & Alessandro Vespignani. (2013). Host Mobility Drives Pathogen Competition in Spatially Structured Populations. PLoS Computational Biology. 9(8). e1003169–e1003169. 38 indexed citations

17.

Debin, Marion, Clément Turbelin, Thierry Blanchon, et al.. (2013). Evaluating the Feasibility and Participants’ Representativeness of an Online Nationwide Surveillance System for Influenza in France. PLoS ONE. 8(9). e73675–e73675. 42 indexed citations

18.

Tizzoni, Michele, Paolo Bajardi, Chiara Poletto, et al.. (2012). Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm. BMC Medicine. 10(1). 165–165. 183 indexed citations

19.

Bajardi, Paolo, Chiara Poletto, José J. Ramasco, et al.. (2011). Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic. PLoS ONE. 6(1). e16591–e16591. 353 indexed citations

20.

Colizza, Vittoria, Alessandro Vespignani, Nicola Perra, et al.. (2009). Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model. PLoS Currents. 1. RRN1129–RRN1129. 18 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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