Daniele Donà
- Infectious Diseases top 5%
- Epidemiology top 10%
- Applied Microbiology and Biotechnology top 0.5%
- Immunology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Carlo GiaquintoElisa BarbieriKürşad GençAnthony T. RederChiara MinottiRebecca LundinLiviana Da DaltMike Sharland
- Topics
- Pneumonia and Respiratory Infections (27 papers)Antibiotic Use and Resistance (23 papers)COVID-19 Clinical Research Studies (20 papers)
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniele Donà
102 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Infectious Diseases 447
- Epidemiology 429
- Applied Microbiology and Biotechnology 296
- Immunology 189
- Public Health, Environmental and Occupational Health 167
Countries citing papers authored by Daniele Donà
This map shows the geographic impact of Daniele Donà'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 Daniele Donà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Donà more than expected).
Fields of papers citing papers by Daniele Donà
This network shows the impact of papers produced by Daniele Donà. 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 Daniele Donà. The network helps show where Daniele Donà may publish in the future.
Co-authorship network of co-authors of Daniele Donà
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Donà. A scholar is included among the top collaborators of Daniele Donà 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 Daniele Donà. Daniele Donà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | 18 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 24 | |
| 18 | 18 | |
| 19 | 9 | |
| 20 | 6 |
About Daniele Donà
Daniele Donà is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Molecular Medicine, having authored 118 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (27 papers), Antibiotic Use and Resistance (23 papers) and COVID-19 Clinical Research Studies (20 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (296 citations), Infectious Diseases (447 citations) and Molecular Medicine (95 citations). Daniele Donà has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Carlo Giaquinto, Elisa Barbieri, Kürşad Genç, Anthony T. Reder, Chiara Minotti, Rebecca Lundin, Liviana Da Dalt, Mike Sharland, Francesca Tirelli and Theoklis E. Zaoutis. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.
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.