Massimiliano Don
- Epidemiology top 10%
- Pulmonary and Respiratory Medicine
- Infectious Diseases
- Critical Care and Intensive Care Medicine top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Mario CancianiMatti KorppiFrancesca ValentGiuliana ValerioAlfred TenoreMika PaldaniusRaija VainionpääMaria Söderlund‐Venermo
- Topics
- Pneumonia and Respiratory Infections (10 papers)Respiratory viral infections research (8 papers)Streptococcal Infections and Treatments (3 papers)
- Partner nations
- ItalyFinlandNetherlands
In The Last Decade
Massimiliano Don
18 papers receiving 567 citations
Peers
Comparison fields: 5 of 67
- Epidemiology 418
- Pulmonary and Respiratory Medicine 195
- Infectious Diseases 97
- Critical Care and Intensive Care Medicine 77
- Public Health, Environmental and Occupational Health 60
Countries citing papers authored by Massimiliano Don
This map shows the geographic impact of Massimiliano Don'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 Massimiliano Don with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimiliano Don more than expected).
Fields of papers citing papers by Massimiliano Don
This network shows the impact of papers produced by Massimiliano Don. 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 Massimiliano Don. The network helps show where Massimiliano Don may publish in the future.
Co-authorship network of co-authors of Massimiliano Don
This figure shows the co-authorship network connecting the top 25 collaborators of Massimiliano Don. A scholar is included among the top collaborators of Massimiliano Don 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 Massimiliano Don. Massimiliano Don 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 | 4 | |
| 3 | 15 | |
| 4 | 36 | |
| 5 | 6 | |
| 6 | 67 | |
| 7 | 3 | |
| 8 | 29 | |
| 9 | 76 | |
| 10 | 61 | |
| 11 | 8 | |
| 12 | 85 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 59 | |
| 16 | 62 | |
| 17 | 48 | |
| 18 | Efficacy of essential fatty acids in the treatment of atopic dermatitis and correlations of their changes with clinical response | 2 |
About Massimiliano Don
Massimiliano Don is a scholar working on Critical Care and Intensive Care Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 584 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (10 papers), Respiratory viral infections research (8 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (77 citations), Epidemiology (418 citations) and Microbiology (57 citations). Massimiliano Don has collaborated with scholars based in Italy, Finland and Netherlands. Frequent co-authors include Mario Canciani, Matti Korppi, Francesca Valent, Giuliana Valerio, Alfred Tenore, Mika Paldanius, Raija Vainionpää, Maria Söderlund‐Venermo, Anne Lahtinen and Klaus Hedman. Their work appears in journals such as European Respiratory Journal, Acta Paediatrica and Pediatric Nephrology.
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.