Roberta De Vito
Impact in
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- Nutritional Studies and Diet
- Consumer Attitudes and Food Labeling
- Obesity, Physical Activity, Diet
- Statistics and Probability top 10%
- Statistical Methods and Inference
Papers in
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- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 3
-
- Nutritional Studies and Diet 5
- Co-authors
- Giovanni Parmigiani (4 shared papers)Lorenzo Trippa (3 shared papers)Valeria Edefonti (7 shared papers)Monica Ferraroni (5 shared papers)Ruggero Bellio (2 shared papers)Michela Dalmartello (2 shared papers)Francesca Bravi (1 shared paper)Katherine H. Shutta (1 shared paper)
- Journals
- Nutrients (2 papers)Statistics in Medicine (2 papers)Advances in Nutrition (2 papers)The Annals of Applied Statistics (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- United StatesItalyAustria
In The Last Decade
Roberta De Vito
17 papers receiving 223 citations
Peers
Comparison fields: 5 of 64
- Public Health, Environmental and Occupational Health 78
- Statistics and Probability 22
- Otorhinolaryngology 7
- Nutrition and Dietetics 21
- Physiology 29
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 | 40 | |
| 2 | 2019 | 33 | |
| 3 | 2018 | 31 | |
| 4 | 2019 | 31 | |
| 5 | 2022 | 24 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 0 |
About Roberta De Vito
Roberta De Vito is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Food Science and Statistics and Probability, having authored 18 papers that have together received 227 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (5 papers), Sensory Analysis and Statistical Methods (4 papers), Gene expression and cancer classification (3 papers), Statistical Methods and Inference (3 papers), Bioinformatics and Genomic Networks (3 papers), Genetic and phenotypic traits in livestock (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (78 citations), Statistics and Probability (22 citations), Otorhinolaryngology (7 citations), Nutrition and Dietetics (21 citations) and Physiology (29 citations). Roberta De Vito has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Giovanni Parmigiani, Lorenzo Trippa, Valeria Edefonti, Monica Ferraroni, Ruggero Bellio, Michela Dalmartello, Francesca Bravi, Katherine H. Shutta, Denise Scholtens and Laura C. Chambers. Their work appears in journals such as Nutrients, Statistics in Medicine, Advances in Nutrition, The Annals of Applied Statistics and British Journal of Haematology.
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.