Roberta De Vito
Impact in
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- Nutritional Studies and Diet
- Obesity, Physical Activity, Diet
- Consumer Attitudes and Food Labeling
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- Statistical Methods and Inference
Papers in
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- Nutritional Studies and Diet 6
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
- Co-authors
- Valeria Edefonti (7 shared papers)Giovanni Parmigiani (4 shared papers)Lorenzo Trippa (3 shared papers)Monica Ferraroni (5 shared papers)Ruggero Bellio (2 shared papers)Michela Dalmartello (2 shared papers)Francesca Bravi (1 shared paper)Maria Parpinel (5 shared papers)
- Journals
- Advances in Nutrition (2 papers)The Annals of Applied Statistics (2 papers)Statistics in Medicine (2 papers)Nutrients (2 papers)Epidemiology (1 paper)
- Partner nations
- United StatesItalyAustria
In The Last Decade
Roberta De Vito
15 papers receiving 206 citations
Peers
Comparison fields: 5 of 67
- Public Health, Environmental and Occupational Health 91
- Statistics and Probability 20
- Nutrition and Dietetics 32
- Otorhinolaryngology 9
- Physiology 34
Countries citing papers authored by Roberta De Vito
This map shows the geographic impact of Roberta De Vito'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 Roberta De Vito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta De Vito more than expected).
Fields of papers citing papers by Roberta De Vito
This network shows the impact of papers produced by Roberta De Vito. 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 Roberta De Vito. The network helps show where Roberta De Vito may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberta De Vito, 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 | 2020 | 39 | |
| 2 | 2018 | 31 | |
| 3 | 2019 | 30 | |
| 4 | 2019 | 30 | |
| 5 | 2022 | 21 | |
| 6 | 2021 | 15 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Roberta De Vito
Roberta De Vito is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Genetics, Food Science and Rheumatology, having authored 17 papers that have together received 210 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (6 papers), Sensory Analysis and Statistical Methods (4 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers), Genetic and phenotypic traits in livestock (2 papers), Statistical Methods and Inference (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Nutrition, Health and Food Behavior (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (91 citations), Statistics and Probability (20 citations), Nutrition and Dietetics (32 citations), Otorhinolaryngology (9 citations) and Physiology (34 citations). Roberta De Vito has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Valeria Edefonti, Giovanni Parmigiani, Lorenzo Trippa, Monica Ferraroni, Ruggero Bellio, Michela Dalmartello, Francesca Bravi, Maria Parpinel, Denise Scholtens and Raji Balasubramanian. Their work appears in journals such as Advances in Nutrition, The Annals of Applied Statistics, Statistics in Medicine, Nutrients and Epidemiology.
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.