Fabrizio De Massis
- Small Animals top 0.5%
- Epidemiology top 10%
- Food Science top 2%
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 5%
- Co-authors
- Katiuscia ZilliElisabetta Di GiannatalePaolo CalistriMassimo AncoraArmando GiovanniniGiuliano GarofoloAntonio PetriniCesare Cammà
- Topics
- Brucella: diagnosis, epidemiology, treatment (44 papers)Salmonella and Campylobacter epidemiology (19 papers)Burkholderia infections and melioidosis (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Clinical Microbiology
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Fabrizio De Massis
66 papers receiving 971 citations
Peers
Comparison fields: 5 of 69
- Small Animals 596
- Epidemiology 393
- Food Science 385
- Public Health, Environmental and Occupational Health 246
- Infectious Diseases 244
Countries citing papers authored by Fabrizio De Massis
This map shows the geographic impact of Fabrizio De Massis'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 Fabrizio De Massis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio De Massis more than expected).
Fields of papers citing papers by Fabrizio De Massis
This network shows the impact of papers produced by Fabrizio De Massis. 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 Fabrizio De Massis. The network helps show where Fabrizio De Massis may publish in the future.
Co-authorship network of co-authors of Fabrizio De Massis
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio De Massis. A scholar is included among the top collaborators of Fabrizio De Massis 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 Fabrizio De Massis. Fabrizio De Massis 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 | 2 | |
| 4 | 6 | |
| 5 | 30 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 14 | |
| 16 | 55 | |
| 17 | 15 | |
| 18 | 11 | |
| 19 | Isolamento di Brucella suis biovariante 2 da un cinghiale in Abruzzo, Italia | 2 |
| 20 | Isolation of Brucella suis biovar 2 from a wild boar in the Abruzzo Region of Italy | 18 |
About Fabrizio De Massis
Fabrizio De Massis is a scholar working on Small Animals, Food Science and Endocrinology, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (44 papers), Salmonella and Campylobacter epidemiology (19 papers) and Burkholderia infections and melioidosis (15 papers). The work is most often cited by research in Small Animals (596 citations), Food Science (385 citations) and Agronomy and Crop Science (175 citations). Fabrizio De Massis has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Katiuscia Zilli, Elisabetta Di Giannatale, Paolo Calistri, Massimo Ancora, Armando Giovannini, Giuliano Garofolo, Antonio Petrini, Cesare Cammà, Manuela Tittarelli and Daria Di Sabatino. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.
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.