Mario Picozza
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Cutaneous lymphoproliferative disorders research 3
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 3
- Co-authors
- Giovanna Borsellino (12 shared papers)Alessandra Magenta (7 shared papers)Mauro Ciro Antonio Rongioletti (3 shared papers)Rosanna Squitti (3 shared papers)Amit Pal (3 shared papers)Luca Battistini (8 shared papers)Roberta Placido (4 shared papers)Manolo Sambucci (5 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Cell Death and Disease (2 papers)Biomolecules (2 papers)Clinical Science (2 papers)Aesthetic Surgery Journal (1 paper)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Mario Picozza
32 papers receiving 907 citations
Peers
Comparison fields: 5 of 91
- Infectious Diseases 250
- Cancer Research 138
- Immunology 159
- Dermatology 63
- Nutrition and Dietetics 96
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 174 | |
| 2 | 2020 | 131 | |
| 3 | 2018 | 59 | |
| 4 | 2019 | 57 | |
| 5 | 2015 | 54 | |
| 6 | 2017 | 53 | |
| 7 | 2022 | 43 | |
| 8 | 2017 | 38 | |
| 9 | 2020 | 35 | |
| 10 | 2021 | 35 | |
| 11 | 2018 | 31 | |
| 12 | 2017 | 30 | |
| 13 | 2022 | 24 | |
| 14 | 2022 | 23 | |
| 15 | 2022 | 21 | |
| 16 | 2023 | 16 | |
| 17 | 2021 | 13 | |
| 18 | 2013 | 13 | |
| 19 | 2017 | 12 | |
| 20 | 2021 | 11 |
About Mario Picozza
Mario Picozza is a scholar working on Dermatology, Infectious Diseases, Cancer Research, Immunology and Nutrition and Dietetics, having authored 34 papers that have together received 933 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), MicroRNA in disease regulation (4 papers), COVID-19 Clinical Research Studies (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Trace Elements in Health (3 papers), Immune Cell Function and Interaction (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Infectious Diseases (250 citations), Cancer Research (138 citations), Immunology (159 citations), Dermatology (63 citations) and Nutrition and Dietetics (96 citations). Mario Picozza has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Giovanna Borsellino, Alessandra Magenta, Mauro Ciro Antonio Rongioletti, Rosanna Squitti, Amit Pal, Luca Battistini, Roberta Placido, Manolo Sambucci, Praveen Sharma and Kalyan Goswami. Their work appears in journals such as Frontiers in Immunology, Cell Death and Disease, Biomolecules, Clinical Science and Aesthetic Surgery Journal.
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.