Luk Daenen
- Food Science top 0.5%
- Molecular Biology
- Plant Science top 5%
- Biomedical Engineering
- Biotechnology top 5%
- Co-authors
- Freddy R. DelvauxH. VerachtertElke K. ArendtKieran M. LynchKevin J. VerstrepenStuart WilkinsonGuy DerdelinckxEmanuele Zannini
- Topics
- Fermentation and Sensory Analysis (16 papers)Fungal and yeast genetics research (4 papers)Horticultural and Viticultural Research (4 papers)
In The Last Decade
Luk Daenen
23 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Food Science 925
- Molecular Biology 531
- Plant Science 425
- Biomedical Engineering 187
- Biotechnology 157
Countries citing papers authored by Luk Daenen
This map shows the geographic impact of Luk Daenen'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 Luk Daenen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luk Daenen more than expected).
Fields of papers citing papers by Luk Daenen
This network shows the impact of papers produced by Luk Daenen. 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 Luk Daenen. The network helps show where Luk Daenen may publish in the future.
Co-authorship network of co-authors of Luk Daenen
This figure shows the co-authorship network connecting the top 25 collaborators of Luk Daenen. A scholar is included among the top collaborators of Luk Daenen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luk Daenen. Luk Daenen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Predicting and improving complex beer flavor through machine learningbreakdown → | 62 |
| 2 | 123 | |
| 3 | 82 | |
| 4 | 26 | |
| 5 | 152 | |
| 6 | 80 | |
| 7 | 186 | |
| 8 | 77 | |
| 9 | 18 | |
| 10 | 26 | |
| 11 | 57 | |
| 12 | 54 | |
| 13 | Cereal based alcoholic beverages. | 1 |
| 14 | From a small FLO gene family to a large adhesion spectrum in Saccharomyces cerevisiae. | 3 |
| 15 | 52 | |
| 16 | 109 | |
| 17 | Exploitation of the flavour potential of hop and sour cherry glycosides by Saccharomyces and Brettanomyces glycoside hydrolase activities | 6 |
| 18 | Bioflavoring of beer through fermentation, refermentation and plant parts addition | 12 |
| 19 | Hydrolysis of glycosidically bound volatiles from sour cherry (Prunus cerasus L.). | 1 |
| 20 | 50 |
About Luk Daenen
Luk Daenen is a scholar working on Food Science, Aging and Biochemistry, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (16 papers), Fungal and yeast genetics research (4 papers) and Horticultural and Viticultural Research (4 papers). The work is most often cited by research in Food Science (925 citations), Tourism, Leisure and Hospitality Management (63 citations) and Biochemistry (127 citations). Luk Daenen has collaborated with scholars based in Belgium, Ireland and Germany. Frequent co-authors include Freddy R. Delvaux, H. Verachtert, Elke K. Arendt, Kieran M. Lynch, Kevin J. Verstrepen, Stuart Wilkinson, Guy Derdelinckx, Emanuele Zannini, Philippe Malcorps and Jan Steensels. Their work appears in journals such as Nature Communications, Journal of Agricultural and Food Chemistry and Food 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.