Daniel Hagège
- Plant Science top 5%
- Molecular Biology
- Food Science top 10%
- Pharmacology
- Biochemistry top 10%
- Co-authors
- Stéphane MauryAlain DelaunayClaude JosephSonja Gadzovska SimicMirko SpasenoskiThomas GasparClaire KeversJ. Boucaud
- Topics
- Plant tissue culture and regeneration (18 papers)Plant Molecular Biology Research (13 papers)Polysaccharides and Plant Cell Walls (6 papers)
- Partner nations
- FranceBelgiumNorth Macedonia
In The Last Decade
Daniel Hagège
38 papers receiving 918 citations
Peers
Comparison fields: 5 of 65
- Plant Science 754
- Molecular Biology 668
- Food Science 89
- Pharmacology 70
- Biochemistry 52
Countries citing papers authored by Daniel Hagège
This map shows the geographic impact of Daniel Hagège'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 Daniel Hagège with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hagège more than expected).
Fields of papers citing papers by Daniel Hagège
This network shows the impact of papers produced by Daniel Hagège. 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 Daniel Hagège. The network helps show where Daniel Hagège may publish in the future.
Co-authorship network of co-authors of Daniel Hagège
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hagège. A scholar is included among the top collaborators of Daniel Hagège 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 Daniel Hagège. Daniel Hagège is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 42 | |
| 3 | 33 | |
| 4 | 35 | |
| 5 | Sugar-induced changes in cellular and extracellular protein and glycoprotein patterns of sugarbeet cell lines | 4 |
| 6 | 2 | |
| 7 | 28 | |
| 8 | 72 | |
| 9 | 69 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 14 | |
| 13 | Molecular cloning and structural analysis of cDNAs that encode 3 small GTP-binding proteins from sugar beet. | 4 |
| 14 | 9 | |
| 15 | 20 | |
| 16 | Ultrastrucural characteristics of cells from normal and habituated sugar beet calli | 25 |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 16 | |
| 20 | Activités peroxydasiques, production d'éthylène, lignification et limitation de croissance chez Suaeda maritima cultivé en l'absence de NaCl | 12 |
About Daniel Hagège
Daniel Hagège is a scholar working on Plant Science, Biochemistry and Molecular Biology, having authored 38 papers that have together received 963 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (18 papers), Plant Molecular Biology Research (13 papers) and Polysaccharides and Plant Cell Walls (6 papers). The work is most often cited by research in Plant Science (754 citations), Molecular Biology (668 citations) and Biochemistry (52 citations). Daniel Hagège has collaborated with scholars based in France, Belgium and North Macedonia. Frequent co-authors include Stéphane Maury, Alain Delaunay, Claude Joseph, Sonja Gadzovska Simic, Mirko Spasenoski, Thomas Gaspar, Claire Kevers, J. Boucaud, Éric Lainé and Michel Righezza. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Experimental Botany and Phytochemistry.
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.