Daniela Pasotto
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 13
- Parasitology top 5%
- Vector-borne infectious diseases 7
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 5
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 8
- Viral Infections and Vectors 6
- Microbiology top 10%
- Microbial infections and disease research 4
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- Virus-based gene therapy research 6
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- Virology and Viral Diseases 3
- Co-authors
- Maria Luisa MenandroAlessandra MondinMichele DrigoMarco MartiniGiovanni FranzoGiorgia DottoClaudia Maria TucciaroneL. Grassi
- Journals
- International Journal of Infectious Diseases (7 papers)Animals (5 papers)Poultry Science (2 papers)
- Partner nations
- ItalyUnited StatesEthiopia
In The Last Decade
Daniela Pasotto
42 papers receiving 613 citations
Peers
Comparison fields: 5 of 78
- Animal Science and Zoology 183
- Parasitology 117
- Agronomy and Crop Science 164
- Infectious Diseases 295
- Microbiology 49
Countries citing papers authored by Daniela Pasotto
This map shows the geographic impact of Daniela Pasotto'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 Pasotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Pasotto more than expected).
Fields of papers citing papers by Daniela Pasotto
This network shows the impact of papers produced by Daniela Pasotto. 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 Pasotto. The network helps show where Daniela Pasotto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Pasotto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 19 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 25 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 49 | |
| 16 | 2017 | 15 | |
| 17 | 2017 | 101 | |
| 18 | 2015 | 10 | |
| 19 | 2013 | 21 | |
| 20 | 2000 | 39 |
About Daniela Pasotto
Daniela Pasotto is a scholar working on Animal Science and Zoology, Parasitology, Infectious Diseases, Agronomy and Crop Science and Microbiology, having authored 44 papers that have together received 631 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (13 papers), Viral gastroenteritis research and epidemiology (8 papers), Vector-borne infectious diseases (7 papers), Virus-based gene therapy research (6 papers), Viral Infections and Vectors (6 papers), Animal Disease Management and Epidemiology (5 papers), Microbial infections and disease research (4 papers) and Virology and Viral Diseases (3 papers). The work is most often cited by research in Animal Science and Zoology (183 citations), Parasitology (117 citations), Agronomy and Crop Science (164 citations), Infectious Diseases (295 citations) and Microbiology (49 citations). Daniela Pasotto has collaborated with scholars based in Italy, United States and Ethiopia. Frequent co-authors include Maria Luisa Menandro, Alessandra Mondin, Michele Drigo, Marco Martini, Giovanni Franzo, Giorgia Dotto, Claudia Maria Tucciarone, L. Grassi, Mattia Cecchinato and Alessio Cecchinato. Their work appears in journals such as International Journal of Infectious Diseases, Animals, Poultry Science, Veterinary Research Communications and Zoonoses and Public Health.
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.