Davide Masi
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Physiology 17
- Diet and metabolism studies 14
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- Growth Hormone and Insulin-like Growth Factors 6
- Diabetes Treatment and Management 4
- Co-authors
- Lucio Gnessi (23 shared papers)Mikiko Watanabe (20 shared papers)Carla Lubrano (18 shared papers)Stefania Mariani (15 shared papers)Renata Risi (12 shared papers)Rossella Tozzi (10 shared papers)Angela Balena (7 shared papers)Alessandra Caputi (5 shared papers)
In The Last Decade
Davide Masi
28 papers receiving 484 citations
Davide Masi's Hit Papers
Peers
Comparison fields: 5 of 89
- Infectious Diseases 208
- Endocrinology, Diabetes and Metabolism 76
- Health 38
- Physiology 117
- Modeling and Simulation 19
Countries citing papers authored by Davide Masi
This map shows the geographic impact of Davide Masi'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 Davide Masi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Masi more than expected).
Fields of papers citing papers by Davide Masi
This network shows the impact of papers produced by Davide Masi. 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 Davide Masi. The network helps show where Davide Masi may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Masi, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Central obesity, smoking habit, and hypertension are associated with lower antibody titres in response to COVID‐19 mRNA vaccine Hit paper breakdown → | 2021 | 190 |
| 2 | 2020 | 58 | |
| 3 | 2022 | 32 | |
| 4 | 2022 | 29 | |
| 5 | 2022 | 29 | |
| 6 | 2022 | 26 | |
| 7 | 2020 | 23 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Davide Masi
Davide Masi is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Surgery, Infectious Diseases and Molecular Biology, having authored 33 papers that have together received 489 indexed citations. Recurring topics across this work include Diet and metabolism studies (14 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Bariatric Surgery and Outcomes (5 papers), Diabetes and associated disorders (5 papers), COVID-19 Clinical Research Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Diabetes Treatment and Management (4 papers) and Gastrointestinal motility and disorders (3 papers). The work is most often cited by research in Infectious Diseases (208 citations), Endocrinology, Diabetes and Metabolism (76 citations), Health (38 citations), Physiology (117 citations) and Modeling and Simulation (19 citations). Davide Masi has collaborated with scholars based in Italy, France and Australia. Frequent co-authors include Lucio Gnessi, Mikiko Watanabe, Carla Lubrano, Stefania Mariani, Renata Risi, Rossella Tozzi, Angela Balena, Alessandra Caputi, Silvia Manfrini and Maria Elena Spoltore. Their work appears in journals such as Nutrients, Cardiovascular Diabetology, Journal of Clinical Medicine, Diabetes/Metabolism Research and Reviews and International Journal of Medical Informatics.
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.