Daniela Rago
Impact in
- Computational Mathematics top 5%
-
- Asthma and respiratory diseases
Papers in
-
- Metabolomics and Mass Spectrometry Studies 8
- Microbial Metabolic Engineering and Bioproduction 4
- Plant biochemistry and biosynthesis 3
-
- Neonatal Respiratory Health Research 3
- Co-authors
- Gözde Gürdeniz (9 shared papers)Lars Ove Dragsted (5 shared papers)Morten Arendt Rasmussen (8 shared papers)Irina Borodina (7 shared papers)Hans Bisgaard (7 shared papers)Klaus Bønnelykke (7 shared papers)Jakob Stokholm (7 shared papers)Bo Chawes (7 shared papers)
- Journals
- Metabolic Engineering (2 papers)European Respiratory Journal (2 papers)Metabolomics (2 papers)EBioMedicine (2 papers)Membranes (1 paper)
- Partner nations
- DenmarkUnited StatesItaly
In The Last Decade
Daniela Rago
26 papers receiving 472 citations
Peers
Comparison fields: 5 of 101
- Computational Mathematics 22
- Physiology 110
- Nutrition and Dietetics 54
- Molecular Biology 234
- Biochemistry 19
Countries citing papers authored by Daniela Rago
This map shows the geographic impact of Daniela Rago'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 Rago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Rago more than expected).
Fields of papers citing papers by Daniela Rago
This network shows the impact of papers produced by Daniela Rago. 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 Rago. The network helps show where Daniela Rago may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Rago, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 45 | |
| 2 | 2021 | 44 | |
| 3 | 2021 | 38 | |
| 4 | 2021 | 35 | |
| 5 | 2023 | 32 | |
| 6 | 2019 | 30 | |
| 7 | 2013 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 22 | |
| 10 | 2012 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2013 | 21 | |
| 13 | 2023 | 21 | |
| 14 | 2012 | 18 | |
| 15 | 2014 | 18 | |
| 16 | 2019 | 17 | |
| 17 | 2017 | 12 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 6 | |
| 20 | 2016 | 5 |
About Daniela Rago
Daniela Rago is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Nutrition and Dietetics and Food Science, having authored 28 papers that have together received 476 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Asthma and respiratory diseases (4 papers), Botanical Research and Applications (3 papers), Plant biochemistry and biosynthesis (3 papers), Neonatal Respiratory Health Research (3 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Computational Mathematics (22 citations), Physiology (110 citations), Nutrition and Dietetics (54 citations), Molecular Biology (234 citations) and Biochemistry (19 citations). Daniela Rago has collaborated with scholars based in Denmark, United States and Italy. Frequent co-authors include Gözde Gürdeniz, Lars Ove Dragsted, Morten Arendt Rasmussen, Irina Borodina, Hans Bisgaard, Klaus Bønnelykke, Jakob Stokholm, Bo Chawes, Jessica Lasky‐Su and Scott T. Weiss. Their work appears in journals such as Metabolic Engineering, European Respiratory Journal, Metabolomics, EBioMedicine and Membranes.
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.