Vega Masignani
- Epidemiology top 1%
- Microbiology top 0.1%
- Molecular Biology top 5%
- Public Health, Environmental and Occupational Health top 2%
- Infectious Diseases top 2%
- Co-authors
- Rino RappuoliMariagrazia PizzaClaudio DonatiHervé TettelinDuccio MediniMichèle A. BarocchiBeatrice AricòAntonello Covacci
- Topics
- Pneumonia and Respiratory Infections (42 papers)Bacterial Infections and Vaccines (42 papers)Streptococcal Infections and Treatments (18 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Vega Masignani
66 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Epidemiology 2.1k
- Microbiology 2.0k
- Molecular Biology 1.8k
- Public Health, Environmental and Occupational Health 885
- Infectious Diseases 814
Countries citing papers authored by Vega Masignani
This map shows the geographic impact of Vega Masignani'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 Vega Masignani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vega Masignani more than expected).
Fields of papers citing papers by Vega Masignani
This network shows the impact of papers produced by Vega Masignani. 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 Vega Masignani. The network helps show where Vega Masignani may publish in the future.
Co-authorship network of co-authors of Vega Masignani
This figure shows the co-authorship network connecting the top 25 collaborators of Vega Masignani. A scholar is included among the top collaborators of Vega Masignani 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 Vega Masignani. Vega Masignani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 68 | |
| 5 | 58 | |
| 6 | 41 | |
| 7 | 19 | |
| 8 | 21 | |
| 9 | 25 | |
| 10 | 34 | |
| 11 | 86 | |
| 12 | 87 | |
| 13 | 43 | |
| 14 | 350 | |
| 15 | 22 | |
| 16 | 186 | |
| 17 | 40 | |
| 18 | 396 | |
| 19 | 31 | |
| 20 | 3 |
About Vega Masignani
Vega Masignani is a scholar working on Microbiology, Epidemiology and Endocrinology, having authored 66 papers that have together received 4.8k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (42 papers), Bacterial Infections and Vaccines (42 papers) and Streptococcal Infections and Treatments (18 papers). The work is most often cited by research in Microbiology (2.0k citations), Endocrinology (343 citations) and Epidemiology (2.1k citations). Vega Masignani has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Rino Rappuoli, Mariagrazia Pizza, Claudio Donati, Hervé Tettelin, Duccio Medini, Michèle A. Barocchi, Beatrice Aricò, Antonello Covacci, Maurizio Comanducci and Jeannette Adu‐Bobie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.