Mario Picozza
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Cutaneous lymphoproliferative disorders research 3
- Dermatology and Skin Diseases 2
- Co-authors
- Alessandra Magenta (6 shared papers)Mauro Rongioletti (3 shared papers)Rosanna Squitti (3 shared papers)Amit Pal (3 shared papers)Giovanna Borsellino (10 shared papers)Luca Battistini (7 shared papers)Roberta Placido (4 shared papers)Sibasish Sahoo (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Clinical Science (2 papers)Biomolecules (2 papers)Cell Death and Disease (2 papers)Biological Trace Element Research (1 paper)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Mario Picozza
26 papers receiving 745 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 138
- Infectious Diseases 166
- Immunology 128
- Nutrition and Dietetics 92
- Dermatology 50
Countries citing papers authored by Mario Picozza
This map shows the geographic impact of Mario Picozza'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 Picozza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Picozza more than expected).
Fields of papers citing papers by Mario Picozza
This network shows the impact of papers produced by Mario Picozza. 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 Picozza. The network helps show where Mario Picozza may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Picozza, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 131 | |
| 2 | 2020 | 128 | |
| 3 | 2019 | 57 | |
| 4 | 2018 | 56 | |
| 5 | 2015 | 53 | |
| 6 | 2017 | 53 | |
| 7 | 2017 | 37 | |
| 8 | 2020 | 34 | |
| 9 | 2021 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2018 | 29 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2021 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2021 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 6 |
About Mario Picozza
Mario Picozza is a scholar working on Dermatology, Molecular Biology, Cancer Research, Infectious Diseases and Physiology, having authored 27 papers that have together received 765 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), MicroRNA in disease regulation (4 papers), Trace Elements in Health (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), COVID-19 Clinical Research Studies (3 papers), Alzheimer's disease research and treatments (2 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Cancer Research (138 citations), Infectious Diseases (166 citations), Immunology (128 citations), Nutrition and Dietetics (92 citations) and Dermatology (50 citations). Mario Picozza has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Alessandra Magenta, Mauro Rongioletti, Rosanna Squitti, Amit Pal, Giovanna Borsellino, Luca Battistini, Roberta Placido, Sibasish Sahoo, Praveen Sharma and Rajendra Prasad. Their work appears in journals such as Frontiers in Immunology, Clinical Science, Biomolecules, Cell Death and Disease and Biological Trace Element Research.
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.