Daniela Freitas
Impact in
- Food Science top 2%
- Proteins in Food Systems
- Probiotics and Fermented Foods
- Polysaccharides Composition and Applications
- Nutrition and Dietetics top 2%
- Food composition and properties
- Microbial Metabolites in Food Biotechnology
Papers in
- Food Science 17
- Proteins in Food Systems 12
- Probiotics and Fermented Foods 5
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- Food composition and properties 14
- Microbial Metabolites in Food Biotechnology 11
- Co-authors
- Steven Le Feunteun (13 shared papers)Isabelle Souchon (2 shared papers)Maud Panouillé (1 shared paper)André Brodkorb (10 shared papers)Alan R. Mackie (2 shared papers)Li Day (1 shared paper)Olivia Ménard (1 shared paper)Adam Macierzanka (1 shared paper)
In The Last Decade
Daniela Freitas
25 papers receiving 867 citations
Daniela Freitas's Hit Papers
Peers
Comparison fields: 5 of 86
- Food Science 498
- Nutrition and Dietetics 410
- Biotechnology 84
- Biochemistry 55
- Animal Science and Zoology 92
Countries citing papers authored by Daniela Freitas
This map shows the geographic impact of Daniela Freitas'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 Daniela Freitas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Freitas more than expected).
Fields of papers citing papers by Daniela Freitas
This network shows the impact of papers produced by Daniela Freitas. 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 Daniela Freitas. The network helps show where Daniela Freitas may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Freitas, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Correlation between in vitro and in vivo data on food digestion. What can we predict with static in vitro digestion models? Hit paper breakdown → | 2017 | 296 |
| 2 | 2005 | 167 | |
| 3 | 2017 | 120 | |
| 4 | 2018 | 55 | |
| 5 | 2021 | 34 | |
| 6 | 2019 | 31 | |
| 7 | 2022 | 26 | |
| 8 | 2015 | 26 | |
| 9 | 2022 | 23 | |
| 10 | 2020 | 22 | |
| 11 | 2022 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2005 | 14 | |
| 14 | 2025 | 13 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Daniela Freitas
Daniela Freitas is a scholar working on Food Science, Nutrition and Dietetics, Molecular Biology, Physiology and Genetics, having authored 26 papers that have together received 889 indexed citations. Recurring topics across this work include Food composition and properties (14 papers), Proteins in Food Systems (12 papers), Microbial Metabolites in Food Biotechnology (11 papers), Probiotics and Fermented Foods (5 papers), Gut microbiota and health (3 papers), Digestive system and related health (3 papers), Diet and metabolism studies (3 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Food Science (498 citations), Nutrition and Dietetics (410 citations), Biotechnology (84 citations), Biochemistry (55 citations) and Animal Science and Zoology (92 citations). Daniela Freitas has collaborated with scholars based in France, Ireland and Brazil. Frequent co-authors include Steven Le Feunteun, Isabelle Souchon, Maud Panouillé, André Brodkorb, Alan R. Mackie, Li Day, Olivia Ménard, Adam Macierzanka, Alice Moscovici and Isidra Recio. Their work appears in journals such as Food & Function, Food Research International, Food Chemistry, Food Structure and European Journal of Nutrition.
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.