Ursula Dąbrowski
Impact in
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
Papers in
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- Glycosylation and Glycoproteins Research 25
- Sphingolipid Metabolism and Signaling 4
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- Carbohydrate Chemistry and Synthesis 26
- Co-authors
- J. Dąbrowski (34 shared papers)Heinz Egge (18 shared papers)Jasna Peter‐Katalinić (12 shared papers)Peter Hanfland (10 shared papers)Stephan Stirm (6 shared papers)Rudolf Geyer (6 shared papers)G. Uhlenbruck (2 shared papers)H. Friebolin (2 shared papers)
In The Last Decade
Ursula Dąbrowski
41 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Organic Chemistry 683
- Molecular Biology 1.1k
- Immunology 257
- Nutrition and Dietetics 189
- Endocrinology 64
Countries citing papers authored by Ursula Dąbrowski
This map shows the geographic impact of Ursula Dąbrowski'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 Ursula Dąbrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Dąbrowski more than expected).
Fields of papers citing papers by Ursula Dąbrowski
This network shows the impact of papers produced by Ursula Dąbrowski. 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 Ursula Dąbrowski. The network helps show where Ursula Dąbrowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Ursula Dąbrowski, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 166 | |
| 2 | 1979 | 127 | |
| 3 | 1981 | 107 | |
| 4 | Fucose-containing oligosaccharides from human milk from a donor of blood group 0 Le(a) nonsecretor. | 1988 | 106 |
| 5 | 1981 | 83 | |
| 6 | 1985 | 81 | |
| 7 | 1984 | 78 | |
| 8 | 1984 | 71 | |
| 9 | 1988 | 71 | |
| 10 | 1991 | 54 | |
| 11 | 1984 | 51 | |
| 12 | 1990 | 46 | |
| 13 | 1992 | 43 | |
| 14 | 1988 | 42 | |
| 15 | 1991 | 40 | |
| 16 | 1990 | 35 | |
| 17 | 1987 | 32 | |
| 18 | 1994 | 27 | |
| 19 | 1983 | 27 | |
| 20 | 1991 | 26 |
About Ursula Dąbrowski
Ursula Dąbrowski is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Nutrition and Dietetics and Plant Science, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (26 papers), Glycosylation and Glycoproteins Research (25 papers), Polysaccharides and Plant Cell Walls (6 papers), Infant Nutrition and Health (6 papers), Lysosomal Storage Disorders Research (6 papers), Probiotics and Fermented Foods (5 papers), Sphingolipid Metabolism and Signaling (4 papers) and Microbial Metabolites in Food Biotechnology (4 papers). The work is most often cited by research in Organic Chemistry (683 citations), Molecular Biology (1.1k citations), Immunology (257 citations), Nutrition and Dietetics (189 citations) and Endocrinology (64 citations). Ursula Dąbrowski has collaborated with scholars based in Germany, Poland and Russia. Frequent co-authors include J. Dąbrowski, Heinz Egge, Jasna Peter‐Katalinić, Peter Hanfland, Stephan Stirm, Rudolf Geyer, G. Uhlenbruck, H. Friebolin, Reinhard Brossmer and Elżbieta Romanowska. Their work appears in journals such as European Journal of Biochemistry, Carbohydrate Research, Biochemistry, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.
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.