Mario Pasquetti
Impact in
- Epidemiology top 10%
- Nail Diseases and Treatments
- Fungal Infections and Studies
- Small Animals top 10%
Papers in
- Epidemiology 14
- Nail Diseases and Treatments 13
- Fungal Infections and Studies 5
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- Infectious Diseases and Mycology 4
- Helminth infection and control 2
- Co-authors
- Andrea Peano (18 shared papers)Anna Rita Molinar Min (14 shared papers)Paolo Tizzani (5 shared papers)Elizabeth M. Johnson (2 shared papers)Jacques Guillot (3 shared papers)Michela De Lucia (1 shared paper)Luca Rossi (6 shared papers)Yvonne Gräser (2 shared papers)
- Journals
- Veterinary Dermatology (3 papers)Veterinary Sciences (3 papers)Parasites & Vectors (2 papers)Journal of Fungi (2 papers)Journal of Dermatological Science (1 paper)
- Partner nations
- ItalySpainSwitzerland
In The Last Decade
Mario Pasquetti
20 papers receiving 318 citations
Peers
Comparison fields: 5 of 53
- Epidemiology 195
- Small Animals 39
- Cell Biology 83
- Infectious Diseases 89
- Parasitology 30
Countries citing papers authored by Mario Pasquetti
This map shows the geographic impact of Mario Pasquetti'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 Mario Pasquetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Pasquetti more than expected).
Fields of papers citing papers by Mario Pasquetti
This network shows the impact of papers produced by Mario Pasquetti. 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 Mario Pasquetti. The network helps show where Mario Pasquetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Pasquetti, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 37 | |
| 2 | 2018 | 36 | |
| 3 | 2020 | 34 | |
| 4 | 2015 | 34 | |
| 5 | 2012 | 27 | |
| 6 | 2017 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2017 | 22 | |
| 9 | 2013 | 21 | |
| 10 | 2021 | 14 | |
| 11 | 2015 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2018 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2009 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2023 | 1 |
About Mario Pasquetti
Mario Pasquetti is a scholar working on Epidemiology, Small Animals, Cell Biology, Infectious Diseases and Dermatology, having authored 23 papers that have together received 325 indexed citations. Recurring topics across this work include Nail Diseases and Treatments (13 papers), Plant Pathogens and Fungal Diseases (6 papers), Fungal Infections and Studies (5 papers), Infectious Diseases and Mycology (4 papers), Dermatological diseases and infestations (3 papers), Antifungal resistance and susceptibility (2 papers), Helminth infection and control (2 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Epidemiology (195 citations), Small Animals (39 citations), Cell Biology (83 citations), Infectious Diseases (89 citations) and Parasitology (30 citations). Mario Pasquetti has collaborated with scholars based in Italy, Spain and Switzerland. Frequent co-authors include Andrea Peano, Anna Rita Molinar Min, Paolo Tizzani, Elizabeth M. Johnson, Jacques Guillot, Michela De Lucia, Luca Rossi, Yvonne Gräser, Samer Angelone and Ramón C. Soriguer. Their work appears in journals such as Veterinary Dermatology, Veterinary Sciences, Parasites & Vectors, Journal of Fungi and Journal of Dermatological Science.
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.