Katia Varello
- Epidemiology
- Infectious Diseases top 10%
- Immunology
- Animal Science and Zoology top 5%
- Agronomy and Crop Science top 5%
- Co-authors
- Elena BozzettaMarzia PezzolatoMarino PrearoMaria CaramelliNicola DecaroCanio BuonavogliaPaolo PastorinoVito Martella
- Topics
- Virus-based gene therapy research (12 papers)Aquaculture disease management and microbiota (11 papers)Mycobacterium research and diagnosis (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- ItalySpainUnited Kingdom
In The Last Decade
Katia Varello
66 papers receiving 685 citations
Peers
Comparison fields: 5 of 90
- Epidemiology 173
- Infectious Diseases 154
- Immunology 134
- Animal Science and Zoology 133
- Agronomy and Crop Science 114
Countries citing papers authored by Katia Varello
This map shows the geographic impact of Katia Varello'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 Katia Varello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katia Varello more than expected).
Fields of papers citing papers by Katia Varello
This network shows the impact of papers produced by Katia Varello. 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 Katia Varello. The network helps show where Katia Varello may publish in the future.
Co-authorship network of co-authors of Katia Varello
This figure shows the co-authorship network connecting the top 25 collaborators of Katia Varello. A scholar is included among the top collaborators of Katia Varello 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 Katia Varello. Katia Varello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 39 | |
| 14 | Mycobacterium fortuitum infection in silver arowana (Osteoglossum bicirrhosum). | 1 |
| 15 | 9 | |
| 16 | 25 | |
| 17 | European flat oyster Ostrea edulis (Linneo, 1758) larvae natural collection and offshore culture: a contribution to Mediterranean wild population conservation | 2 |
| 18 | 23 | |
| 19 | Investigation on three outbreaks of malignant catarrhal fever in cattle in Piedmont. | 1 |
| 20 | Histopathology as a screening method for the detection of illicit treatment by oestrogens | 2 |
About Katia Varello
Katia Varello is a scholar working on Equine, Agronomy and Crop Science and Animal Science and Zoology, having authored 68 papers that have together received 700 indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Aquaculture disease management and microbiota (11 papers) and Mycobacterium research and diagnosis (9 papers). The work is most often cited by research in Animal Science and Zoology (133 citations), Agronomy and Crop Science (114 citations) and Infectious Diseases (154 citations). Katia Varello has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Elena Bozzetta, Marzia Pezzolato, Marino Prearo, Maria Caramelli, Nicola Decaro, Canio Buonavoglia, Paolo Pastorino, Vito Martella, Alessandro Dondo and Francesco Ingravalle. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.