Mattia Prosperi
- Infectious Diseases top 1%
- Molecular Biology top 10%
- Virology top 1%
- Epidemiology top 5%
- Artificial Intelligence top 5%
- Co-authors
- Marco SalemiJiang BianKai WangIain BuchanJae MinDeepthi S. VarmaAndrea De LucaAdnan Ćustović
- Topics
- HIV/AIDS Research and Interventions (55 papers)HIV Research and Treatment (53 papers)HIV/AIDS drug development and treatment (45 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Mattia Prosperi
210 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Infectious Diseases 1.1k
- Molecular Biology 762
- Virology 710
- Epidemiology 636
- Artificial Intelligence 371
Countries citing papers authored by Mattia Prosperi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 6 | |
| 13 | 30 | |
| 14 | 15 | |
| 15 | 23 | |
| 16 | Using String Metrics to Identify Patient Journeys through Care Pathways. | 5 |
| 17 | 1 | |
| 18 | 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 | 4 |
| 19 | 75 | |
| 20 | 9 |
About Mattia Prosperi
Mattia Prosperi is a scholar working on Virology, Infectious Diseases and Molecular Medicine, having authored 224 papers that have together received 4.2k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (55 papers), HIV Research and Treatment (53 papers) and HIV/AIDS drug development and treatment (45 papers). The work is most often cited by research in Virology (710 citations), Health Informatics (115 citations) and Infectious Diseases (1.1k citations). Mattia Prosperi has collaborated with scholars based in United States, Italy and United Kingdom. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.
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.