Tobia Pretto
Impact in
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
- Immunology top 10%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
Papers in
- Immunology 29
- Aquaculture disease management and microbiota 25
- Invertebrate Immune Response Mechanisms 5
- Ecology 18
- Parasite Biology and Host Interactions 13
- Crustacean biology and ecology 9
- Co-authors
- Anna Toffan (22 shared papers)Francesco Pascoli (10 shared papers)Miriam Abbadi (9 shared papers)Giuseppe Arcangeli (7 shared papers)Alessandra Buratin (6 shared papers)Valentina Panzarin (4 shared papers)Amedeo Manfrin (8 shared papers)Francesc Padrós (2 shared papers)
In The Last Decade
Tobia Pretto
41 papers receiving 610 citations
Peers
Comparison fields: 5 of 54
- Aquatic Science 122
- Immunology 336
- Animal Science and Zoology 122
- Ecology 218
- Endocrinology 37
Countries citing papers authored by Tobia Pretto
This map shows the geographic impact of Tobia Pretto'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 Tobia Pretto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobia Pretto more than expected).
Fields of papers citing papers by Tobia Pretto
This network shows the impact of papers produced by Tobia Pretto. 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 Tobia Pretto. The network helps show where Tobia Pretto may publish in the future.
Co-authors
The 25 scholars most cited alongside Tobia Pretto, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 102 | |
| 2 | 2014 | 73 | |
| 3 | 2019 | 49 | |
| 4 | 2020 | 46 | |
| 5 | Massive mortality in Manila clams (Ruditapes philippinarum) farmed in the Lagoon of Venice, caused by Perkinsus olseni. | 2014 | 41 |
| 6 | 2017 | 21 | |
| 7 | 2017 | 20 | |
| 8 | 2018 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2021 | 14 | |
| 11 | 2014 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2019 | 10 |
About Tobia Pretto
Tobia Pretto is a scholar working on Immunology, Ecology, Animal Science and Zoology, Aquatic Science and Microbiology, having authored 46 papers that have together received 627 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (25 papers), Parasite Biology and Host Interactions (13 papers), Animal Virus Infections Studies (9 papers), Crustacean biology and ecology (9 papers), Microbial infections and disease research (7 papers), Aquaculture Nutrition and Growth (6 papers), Invertebrate Immune Response Mechanisms (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Aquatic Science (122 citations), Immunology (336 citations), Animal Science and Zoology (122 citations), Ecology (218 citations) and Endocrinology (37 citations). Tobia Pretto has collaborated with scholars based in Italy, Spain and Israel. Frequent co-authors include Anna Toffan, Francesco Pascoli, Miriam Abbadi, Giuseppe Arcangeli, Alessandra Buratin, Valentina Panzarin, Amedeo Manfrin, Francesc Padrós, Umberto Rosani and Stefania Domeneghetti. Their work appears in journals such as Journal of Fish Diseases, Diseases of Aquatic Organisms, Journal of Invertebrate Pathology, Parasitology and Diversity.
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.