Daniela Proietti
Impact in
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Endocrinology top 5%
Papers in
- Epidemiology 22
- Pneumonia and Respiratory Infections 16
- Influenza Virus Research Studies 4
- Microbiology 19
- Bacterial Infections and Vaccines 19
- Co-authors
- Francesco Berti (26 shared papers)Paolo Costantino (19 shared papers)Maria Rosaria Romano (20 shared papers)Roberto Adamo (15 shared papers)Marta Tontini (13 shared papers)Rino Rappuoli (5 shared papers)Francesca Micoli (6 shared papers)Elisa Danieli (4 shared papers)
- Journals
- Vaccine (10 papers)Pharmaceutica Acta Helvetiae (2 papers)ACS Chemical Biology (2 papers)Organic Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Daniela Proietti
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Microbiology 320
- Endocrinology 106
- Infectious Diseases 256
- Epidemiology 440
- Organic Chemistry 291
Countries citing papers authored by Daniela Proietti
This map shows the geographic impact of Daniela Proietti'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 Daniela Proietti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Proietti more than expected).
Fields of papers citing papers by Daniela Proietti
This network shows the impact of papers produced by Daniela Proietti. 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 Daniela Proietti. The network helps show where Daniela Proietti may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Proietti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 97 | |
| 2 | 2008 | 81 | |
| 3 | 2010 | 77 | |
| 4 | 2012 | 67 | |
| 5 | 2012 | 49 | |
| 6 | 2014 | 48 | |
| 7 | 2013 | 48 | |
| 8 | 2011 | 47 | |
| 9 | 2015 | 46 | |
| 10 | 2014 | 44 | |
| 11 | 2013 | 38 | |
| 12 | 2010 | 35 | |
| 13 | 2012 | 35 | |
| 14 | 2013 | 34 | |
| 15 | 2014 | 33 | |
| 16 | 2010 | 31 | |
| 17 | 2018 | 31 | |
| 18 | 2004 | 30 | |
| 19 | 2016 | 25 | |
| 20 | 1998 | 23 |
About Daniela Proietti
Daniela Proietti is a scholar working on Epidemiology, Microbiology, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (19 papers), Pneumonia and Respiratory Infections (16 papers), Glycosylation and Glycoproteins Research (9 papers), Carbohydrate Chemistry and Synthesis (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Escherichia coli research studies (5 papers), Influenza Virus Research Studies (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Microbiology (320 citations), Endocrinology (106 citations), Infectious Diseases (256 citations), Epidemiology (440 citations) and Organic Chemistry (291 citations). Daniela Proietti has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Francesco Berti, Paolo Costantino, Maria Rosaria Romano, Roberto Adamo, Marta Tontini, Rino Rappuoli, Francesca Micoli, Elisa Danieli, Emilia Cappelletti and Luigi Lay. Their work appears in journals such as Vaccine, Pharmaceutica Acta Helvetiae, ACS Chemical Biology, Organic Letters and Nature Communications.
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.