Griet Van Zeebroeck
- Aging top 5%
- Molecular Biology top 10%
- Fungal and yeast genetics research 21
- Polyamine Metabolism and Applications 6
- Protein Kinase Regulation and GTPase Signaling 5
- Microbial Metabolic Engineering and Bioproduction 3
- Biochemistry top 10%
- Plant Science top 10%
- Plant nutrient uptake and metabolism 4
- Cell Biology top 10%
- Cellular transport and secretion 5
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- Antifungal resistance and susceptibility 4
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- Fermentation and Sensory Analysis 3
- Co-authors
- Johan M. TheveleinMarta Rubio‐TexeiraJoep SchothorstOle LagatieInge HolsbeeksMarion CrauwelsMonica C. V. DonatonJoris Winderickx
- Cited by
- AgingMolecular BiologyBiochemistry
In The Last Decade
Griet Van Zeebroeck
26 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Aging 51
- Molecular Biology 989
- Biochemistry 75
- Plant Science 350
- Cell Biology 154
Countries citing papers authored by Griet Van Zeebroeck
This map shows the geographic impact of Griet Van Zeebroeck'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 Griet Van Zeebroeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Griet Van Zeebroeck more than expected).
Fields of papers citing papers by Griet Van Zeebroeck
This network shows the impact of papers produced by Griet Van Zeebroeck. 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 Griet Van Zeebroeck. The network helps show where Griet Van Zeebroeck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Griet Van Zeebroeck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 14 | |
| 2 | 2020 | 12 | |
| 3 | 2020 | 14 | |
| 4 | 2018 | 30 | |
| 5 | 2018 | 30 | |
| 6 | 2017 | 18 | |
| 7 | 2017 | 7 | |
| 8 | 2017 | 37 | |
| 9 | 2016 | 12 | |
| 10 | 2016 | 28 | |
| 11 | Nutrient sensing and signaling in the yeastSaccharomyces cerevisiaebreakdown → | 2014 | 452 |
| 12 | 2013 | 22 | |
| 13 | 2012 | 54 | |
| 14 | 2012 | 4 | |
| 15 | 2012 | 15 | |
| 16 | 2011 | 56 | |
| 17 | 2011 | 22 | |
| 18 | 2009 | 51 | |
| 19 | 2008 | 65 | |
| 20 | 2003 | 130 |
About Griet Van Zeebroeck
Griet Van Zeebroeck is a scholar working on Cell Biology, Molecular Biology and Food Science, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (21 papers), Polyamine Metabolism and Applications (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cellular transport and secretion (5 papers), Antifungal resistance and susceptibility (4 papers), Plant nutrient uptake and metabolism (4 papers), Fermentation and Sensory Analysis (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Aging (51 citations), Molecular Biology (989 citations) and Biochemistry (75 citations). Griet Van Zeebroeck has collaborated with scholars based in Belgium, Czechia and Austria. Frequent co-authors include Johan M. Thevelein, Marta Rubio‐Texeira, Joep Schothorst, Ole Lagatie, Inge Holsbeeks, Marion Crauwels, Monica C. V. Donaton, Joris Winderickx, Beatriz M. Bonini and Patrick Van Dijck. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.
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.