Federica Cugnata
- Infectious Diseases top 10%
- Epidemiology
- Molecular Biology
- Genetics
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Chiara BrombinDalit ContiniSilvia SaliniAndrea GalbiatiVincenza CastronovoLaura GiarolliFabrizio RinaldiSara Marelli
- Topics
- SARS-CoV-2 and COVID-19 Research (4 papers)CRISPR and Genetic Engineering (4 papers)Tuberculosis Research and Epidemiology (4 papers)
- Cited by
- Infectious DiseasesExperimental and Cognitive PsychologyBusiness and International Management
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Federica Cugnata
36 papers receiving 855 citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Infectious Diseases 218
- Epidemiology 208
- Molecular Biology 195
- Genetics 125
- Experimental and Cognitive Psychology 120
Countries citing papers authored by Federica Cugnata
This map shows the geographic impact of Federica Cugnata'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 Federica Cugnata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Cugnata more than expected).
Fields of papers citing papers by Federica Cugnata
This network shows the impact of papers produced by Federica Cugnata. 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 Federica Cugnata. The network helps show where Federica Cugnata may publish in the future.
Co-authorship network of co-authors of Federica Cugnata
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Cugnata. A scholar is included among the top collaborators of Federica Cugnata 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 Federica Cugnata. Federica Cugnata 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 | 9 | |
| 4 | Genotoxic effects of base and prime editing in human hematopoietic stem cellsbreakdown → | 93 |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 21 | |
| 12 | 108 | |
| 13 | 20 | |
| 14 | 20 | |
| 15 | 5 | |
| 16 | 48 | |
| 17 | 9 | |
| 18 | 106 | |
| 19 | 19 | |
| 20 | From South to North: student internal migration in Italy. Should it be an issue? | 1 |
About Federica Cugnata
Federica Cugnata is a scholar working on Modeling and Simulation, Infectious Diseases and Experimental and Cognitive Psychology, having authored 38 papers that have together received 872 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), CRISPR and Genetic Engineering (4 papers) and Tuberculosis Research and Epidemiology (4 papers). The work is most often cited by research in Infectious Diseases (218 citations), Experimental and Cognitive Psychology (120 citations) and Business and International Management (15 citations). Federica Cugnata has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Chiara Brombin, Dalit Contini, Silvia Salini, Andrea Galbiati, Vincenza Castronovo, Laura Giarolli, Fabrizio Rinaldi, Sara Marelli, Luigi Ferini‐Strambi and Samuele Ferrari. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.
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.