Riccardo Pascuzzo
- Equine top 2%
- Small Animals top 2%
- Animal Behavior and Welfare Studies 3
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- Glioma Diagnosis and Treatment 5
- Human-Animal Interaction Studies 4
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- Radiomics and Machine Learning in Medical Imaging 4
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- Prion Diseases and Protein Misfolding 4
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- Trace Elements in Health 4
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- Meningioma and schwannoma management 3
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- Infectious Encephalopathies and Encephalitis 3
- Co-authors
- Simone VantiniMatthew C. LeachMichela MineroEmanuela Dalla CostaAlberto BizziFrancesca DaiAntonella LoMauroS. Gandossini
- Cited by
- EquineSmall AnimalsNeurology
- Journals
- PLoS ONE (2 papers)Annals of Neurology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Riccardo Pascuzzo
23 papers receiving 410 citations
Peers
Comparison fields: 5 of 84
- Equine 52
- Small Animals 137
- Neurology 34
- Genetics 42
- Animal Science and Zoology 32
Countries citing papers authored by Riccardo Pascuzzo
This map shows the geographic impact of Riccardo Pascuzzo'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 Riccardo Pascuzzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Pascuzzo more than expected).
Fields of papers citing papers by Riccardo Pascuzzo
This network shows the impact of papers produced by Riccardo Pascuzzo. 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 Riccardo Pascuzzo. The network helps show where Riccardo Pascuzzo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Riccardo Pascuzzo, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 8 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 31 | |
| 14 | 2020 | 30 | |
| 15 | 2020 | 19 | |
| 16 | 2020 | 48 | |
| 17 | 2019 | 3 | |
| 18 | 2018 | 60 | |
| 19 | 2018 | 45 | |
| 20 | 2017 | 55 |
About Riccardo Pascuzzo
Riccardo Pascuzzo is a scholar working on Equine, Small Animals and Genetics, having authored 26 papers that have together received 426 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Prion Diseases and Protein Misfolding (4 papers), Trace Elements in Health (4 papers), Human-Animal Interaction Studies (4 papers), Meningioma and schwannoma management (3 papers), Infectious Encephalopathies and Encephalitis (3 papers) and Animal Behavior and Welfare Studies (3 papers). The work is most often cited by research in Equine (52 citations), Small Animals (137 citations) and Neurology (34 citations). Riccardo Pascuzzo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Simone Vantini, Matthew C. Leach, Michela Minero, Emanuela Dalla Costa, Alberto Bizzi, Francesca Dai, Antonella LoMauro, S. Gandossini, Lawrence B. Schonberger and Mark L. Cohen. Their work appears in journals such as PLoS ONE, Annals of Neurology and International Journal of Molecular Sciences.
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.