P. Dall’Ara
Impact in
- Parasitology top 5%
- Bird parasitology and diseases
- Small Animals top 5%
Papers in
- Genetics 17
- Virus-based gene therapy research 10
- Epidemiology 15
- Herpesvirus Infections and Treatments 7
- Co-authors
- Roberta Martinelli (1 shared paper)Anders Pape Møller (1 shared paper)Nicola Saino (1 shared paper)Piera Anna Martino (8 shared papers)Stefania Lauzi (16 shared papers)Joel Filipe (22 shared papers)Lauretta Turin (11 shared papers)Marinella Capuccella (1 shared paper)
- Journals
- Veterinary Sciences (7 papers)Frontiers in Veterinary Science (3 papers)Antibiotics (3 papers)Life (2 papers)Theriogenology (2 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
P. Dall’Ara
62 papers receiving 584 citations
Peers
Comparison fields: 5 of 97
- Parasitology 77
- Small Animals 86
- Equine 18
- Agronomy and Crop Science 100
- Virology 42
Countries citing papers authored by P. Dall’Ara
This map shows the geographic impact of P. Dall’Ara'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 P. Dall’Ara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Dall’Ara more than expected).
Fields of papers citing papers by P. Dall’Ara
This network shows the impact of papers produced by P. Dall’Ara. 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 P. Dall’Ara. The network helps show where P. Dall’Ara may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Dall’Ara, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 105 | |
| 2 | 1999 | 44 | |
| 3 | 2005 | 38 | |
| 4 | 2001 | 30 | |
| 5 | 2010 | 29 | |
| 6 | 2019 | 27 | |
| 7 | 2014 | 20 | |
| 8 | 2019 | 20 | |
| 9 | 2014 | 18 | |
| 10 | 1994 | 15 | |
| 11 | Pseudotuberculosis in marmosets, tamarins, and Goeldi's monkeys (Callithrichidae/Callimiconidae) housed at a European zoo. | 1999 | 15 |
| 12 | 2021 | 14 | |
| 13 | 2013 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2024 | 11 | |
| 16 | Microbiologia e immunologia veterinaria | 2005 | 11 |
| 17 | 2013 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2012 | 9 |
About P. Dall’Ara
P. Dall’Ara is a scholar working on Genetics, Epidemiology, Infectious Diseases, Immunology and Animal Science and Zoology, having authored 70 papers that have together received 622 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (7 papers), Herpesvirus Infections and Treatments (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Animal health and immunology (6 papers), Prion Diseases and Protein Misfolding (5 papers), Microbial infections and disease research (5 papers) and Rabies epidemiology and control (5 papers). The work is most often cited by research in Parasitology (77 citations), Small Animals (86 citations), Equine (18 citations), Agronomy and Crop Science (100 citations) and Virology (42 citations). P. Dall’Ara has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Roberta Martinelli, Anders Pape Møller, Nicola Saino, Piera Anna Martino, Stefania Lauzi, Joel Filipe, Lauretta Turin, Marinella Capuccella, G. Poli and Daniela Beghelli. Their work appears in journals such as Veterinary Sciences, Frontiers in Veterinary Science, Antibiotics, Life and Theriogenology.
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.