Aneta Dąbrowska
Impact in
- Food Science top 10%
- Proteins in Food Systems
- Probiotics and Fermented Foods
- Microencapsulation and Drying Processes
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
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- Proteins in Food Systems 5
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- Consumer Attitudes and Food Labeling 4
- Nutritional Studies and Diet 3
- Nutrition and Health Studies 3
- Co-authors
- E.J. Borowska (1 shared paper)Sylwester Czaplicki (1 shared paper)Małgorzata Tańska (1 shared paper)Katarzyna Kiełczewska (7 shared papers)Marek Aljewicz (4 shared papers)Christian S. Thudium (3 shared papers)M.A. Karsdal (3 shared papers)Kim Henriksen (3 shared papers)
In The Last Decade
Aneta Dąbrowska
29 papers receiving 300 citations
Peers
Comparison fields: 5 of 78
- Food Science 131
- Biochemistry 39
- Nutrition and Dietetics 58
- Biotechnology 29
- Animal Science and Zoology 34
Countries citing papers authored by Aneta Dąbrowska
This map shows the geographic impact of Aneta Dąbrowska'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 Aneta Dąbrowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aneta Dąbrowska more than expected).
Fields of papers citing papers by Aneta Dąbrowska
This network shows the impact of papers produced by Aneta Dąbrowska. 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 Aneta Dąbrowska. The network helps show where Aneta Dąbrowska may publish in the future.
Co-authors
The 25 scholars most cited alongside Aneta Dąbrowska, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 85 | |
| 2 | 2019 | 38 | |
| 3 | 2016 | 21 | |
| 4 | 2019 | 21 | |
| 5 | 2019 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2017 | 15 | |
| 8 | 2024 | 14 | |
| 9 | 2013 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2024 | 3 | |
| 19 | Analysis of the size of fat globules in milk and cream dispersed in different reagents solutions | 2017 | 2 |
| 20 | 2015 | 2 |
About Aneta Dąbrowska
Aneta Dąbrowska is a scholar working on Food Science, Public Health, Environmental and Occupational Health, Nutrition and Dietetics, Molecular Biology and Animal Science and Zoology, having authored 29 papers that have together received 309 indexed citations. Recurring topics across this work include Proteins in Food Systems (5 papers), Consumer Attitudes and Food Labeling (4 papers), Microbial Metabolites in Food Biotechnology (4 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Nutritional Studies and Diet (3 papers), Microbial Inactivation Methods (3 papers), Nutrition and Health Studies (3 papers) and Meat and Animal Product Quality (3 papers). The work is most often cited by research in Food Science (131 citations), Biochemistry (39 citations), Nutrition and Dietetics (58 citations), Biotechnology (29 citations) and Animal Science and Zoology (34 citations). Aneta Dąbrowska has collaborated with scholars based in Poland, Denmark and China. Frequent co-authors include E.J. Borowska, Sylwester Czaplicki, Małgorzata Tańska, Katarzyna Kiełczewska, Marek Aljewicz, Christian S. Thudium, M.A. Karsdal, Kim Henriksen, Kim Vietz Andreassen and Natalia Kordala. Their work appears in journals such as Foods, Molecules, International Dairy Journal, Applied Sciences and Bioresource Technology.
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.