Mattia Prosperi

6.8k total citations · 1 hit paper
224 papers, 4.2k citations indexed

About

Mattia Prosperi is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Mattia Prosperi has authored 224 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Infectious Diseases, 60 papers in Epidemiology and 58 papers in Molecular Biology. Recurrent topics in Mattia Prosperi's work include HIV/AIDS Research and Interventions (55 papers), HIV Research and Treatment (53 papers) and HIV/AIDS drug development and treatment (45 papers). Mattia Prosperi is often cited by papers focused on HIV/AIDS Research and Interventions (55 papers), HIV Research and Treatment (53 papers) and HIV/AIDS drug development and treatment (45 papers). Mattia Prosperi collaborates with scholars based in United States, Italy and United Kingdom. Mattia Prosperi's co-authors include Marco Salemi, Jiang Bian, Kai Wang, Iain Buchan, Jae Min, Deepthi S. Varma, Andrea De Luca, Adnan Ćustović, Yi Guo and Maurizio Zazzi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Mattia Prosperi

210 papers receiving 4.1k 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.

Causal inference and counterfactual prediction in machine learning for actionable healthcare

2020 219 citations Mattia Prosperi, Yi Guo et al. profile →

Peers

Mattia Prosperi

VIROL

EPIDE

Marta Gwinn United States

Nicholas P. Jewell United States

Maggie Haitian Wang China

Siddappa N. Byrareddy United States

Stephen W. Lagakos United States

Bryan E. Shepherd United States

Adi V. Gundlapalli United States

John Williamson United States

Daniela De Angelis United Kingdom

Hongzhou Lu China

Marta Gwinn United States

Mattia Prosperi

1.2k ×1.1

899 ×1.2

444 ×0.6

VIROL

1.0k ×1.6

EPIDE

198 ×0.5

Citations per year, relative to Mattia Prosperi Mattia Prosperi (= 1×) peers Marta Gwinn

Countries citing papers authored by Mattia Prosperi

Since Specialization

Citations

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

Fields of papers citing papers by Mattia Prosperi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Prosperi

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

Tagliamonte, Massimiliano S., Carla Mavian, Nicole M. Iovine, et al.. (2025). Dynamic Networks of Methicillin-Resistant Staphylococcus aureus in Communities Drive Hospital Transmission. Open Forum Infectious Diseases. 12(5). ofaf264–ofaf264.

Liu, Yiyang, et al.. (2025). Behavioral and Demographic Profiles of HIV Transmission and Exposure Networks in Florida: Network Analysis of HIV Contact Tracing Data. JMIR Public Health and Surveillance. 11. e65573–e65573. 1 indexed citations

Liu, Yiyang, et al.. (2024). Comorbidity Burden and Health Care Utilization by Substance use Disorder Patterns among People with HIV in Florida. AIDS and Behavior. 28(7). 2286–2295. 4 indexed citations

Motlagh, Naser Hossein, Huber Flores, Jiangtao Wang, et al.. (2024). Population Digital Health: Continuous Health Monitoring and Profiling at Scale. SHILAP Revista de lepidopterología. 16. e60261–e60261. 2 indexed citations

Fang, Ruogu, et al.. (2024). DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction. PLoS Computational Biology. 20(4). e1011351–e1011351. 1 indexed citations

Solberg, Laurence M., Mattia Prosperi, Tanja Magoč, et al.. (2023). Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium. BMC Medical Informatics and Decision Making. 23(1). 181–181. 1 indexed citations

Lyu, Tianchen, William T. Donahoo, Yonghui Wu, et al.. (2023). The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records. Journal of the American Medical Informatics Association. 31(1). 165–173. 1 indexed citations

Prosperi, Mattia, et al.. (2023). Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study. JMIR Research Protocols. 12. e48521–e48521. 4 indexed citations

Marini, Simone, Rodrígo Mora, Christina Boucher, Noelle Noyes, & Mattia Prosperi. (2022). Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencing. Briefings in Bioinformatics. 23(2). 2 indexed citations

10.

Xu, Jie, Yi Guo, Fei Wang, et al.. (2022). Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine. BMJ Open. 12(6). e059715–e059715. 4 indexed citations

11.

Marini, Simone, Carla Mavian, Alberto Riva, et al.. (2021). Optimizing viral genome subsampling by genetic diversity and temporal distribution (TARDiS) for phylogenetics. Bioinformatics. 38(3). 856–860. 10 indexed citations

12.

Borghetti, Alberto, Arturo Ciccullo, Francesca Lombardi, et al.. (2020). Transmitted drug resistance to NRTIs and risk of virological failure in naïve patients treated with integrase inhibitors. HIV Medicine. 22(1). 22–27. 6 indexed citations

13.

Lakin, Steven M., Alan Kuhnle, Noelle Noyes, et al.. (2019). Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences. Communications Biology. 2(1). 294–294. 30 indexed citations

14.

Modave, François, Yunpeng Zhao, Janice L. Krieger, et al.. (2019). Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. Studies in health technology and informatics. 264. 1293–1297. 15 indexed citations

15.

Lucero, Robert, et al.. (2018). A data-driven and practice-based approach to identify risk factors associated with hospital-acquired falls: Applying manual and semi- and fully-automated methods. International Journal of Medical Informatics. 122. 63–69. 23 indexed citations

16.

Williams, Richard, Iain Buchan, Mattia Prosperi, & John Ainsworth. (2014). Using String Metrics to Identify Patient Journeys through Care Pathways.. PubMed. 2014. 1208–17. 5 indexed citations

17.

Prosperi, Mattia, Michal Rosen‐Zvi, André Altmann, et al.. (2011). Correction: Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models. PLoS ONE. 6(4). 1 indexed citations

18.

Prosperi, Mattia, Sergio Lo Caputo, Cristina Gervasoni, et al.. (2010). Fib4 is an independent predictor of serious liver disease among HIV-infected patients with or without HBV/HCV co-infection in the Icona foundation study. UCL Discovery (University College London). 4 indexed citations

19.

Frentz, Dineke, Charles A. Boucher, Andrea De Luca, et al.. (2010). Comparison of HIV-1 Genotypic Resistance Test Interpretation Systems in Predicting Virological Outcomes Over Time. PLoS ONE. 5(7). e11505–e11505. 75 indexed citations

20.

Bracciale, Laura, Simona Di Giambenedetto, Manuela Colafigli, et al.. (2009). Virological Suppression Reduces Clinical Progression in Patients with Multiclass-Resistant HIV Type 1. AIDS Research and Human Retroviruses. 25(3). 261–267. 9 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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