Andrea Pugliese
- Public Health, Environmental and Occupational Health top 1%
- Modeling and Simulation top 0.2%
- Infectious Diseases top 2%
- Genetics top 5%
- Epidemiology top 5%
- Co-authors
- Roberto RosàStefano MerlerMimmo IannelliMarco AjelliD. TorreFabio MilnerPiero PolettiGiovanni Marini
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (44 papers)COVID-19 epidemiological studies (37 papers)Evolution and Genetic Dynamics (25 papers)
- Journals
- Nucleic Acids ResearchJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Andrea Pugliese
147 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 150
- Public Health, Environmental and Occupational Health 1.0k
- Modeling and Simulation 770
- Infectious Diseases 727
- Genetics 535
- Epidemiology 491
Countries citing papers authored by Andrea Pugliese
This map shows the geographic impact of Andrea Pugliese'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 Andrea Pugliese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Pugliese more than expected).
Fields of papers citing papers by Andrea Pugliese
This network shows the impact of papers produced by Andrea Pugliese. 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 Andrea Pugliese. The network helps show where Andrea Pugliese may publish in the future.
Co-authorship network of co-authors of Andrea Pugliese
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Pugliese. A scholar is included among the top collaborators of Andrea Pugliese 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 Andrea Pugliese. Andrea Pugliese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 10 | |
| 3 | 24 | |
| 4 | 69 | |
| 5 | 65 | |
| 6 | 16 | |
| 7 | 82 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 42 | |
| 11 | 104 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | MATHEMATICAL MODELS AND WILDLIFE DISEASES: TECNIQUES OF PARA- METERS ESTIMATION FOR NEMATODES INFECTIONS | 1 |
| 15 | 3 | |
| 16 | The degree of aggregation of parasite distributions in epidemic models | 2 |
| 17 | 13 | |
| 18 | 10 | |
| 19 | Interferon production on mouse fibroblasts induced by various viruses. | 1 |
| 20 | Hemagglutination by natural and synthetic nucleic acids. | 0 |
About Andrea Pugliese
Andrea Pugliese is a scholar working on Modeling and Simulation, Virology and Public Health, Environmental and Occupational Health, having authored 154 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (44 papers), COVID-19 epidemiological studies (37 papers) and Evolution and Genetic Dynamics (25 papers). The work is most often cited by research in Modeling and Simulation (770 citations), Parasitology (341 citations) and Infectious Diseases (727 citations). Andrea Pugliese has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Roberto Rosà, Stefano Merler, Mimmo Iannelli, Marco Ajelli, D. Torre, Fabio Milner, Piero Poletti, Giovanni Marini, Neil M. Ferguson and Peter J. Hudson. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.