Danièle Roques
- Plant Science top 5%
- Biomedical Engineering top 10%
- Surgery
- Molecular Biology
- Genetics
- Co-authors
- Angélique D’HontLaurent GrivetJean-Yves HoarauJean-Christophe GlaszmannJ. C. GlaszmannPhilippe FeldmannClaire LanaudJean‐Heinrich Daugrois
- Topics
- Sugarcane Cultivation and Processing (11 papers)Plant Pathogenic Bacteria Studies (4 papers)Biofuel production and bioconversion (4 papers)
- Partner nations
- FranceRéunionSouth Africa
In The Last Decade
Danièle Roques
12 papers receiving 542 citations
Peers
Comparison fields: 5 of 24
- Plant Science 558
- Biomedical Engineering 342
- Surgery 125
- Molecular Biology 53
- Genetics 39
Countries citing papers authored by Danièle Roques
This map shows the geographic impact of Danièle Roques'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 Danièle Roques with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danièle Roques more than expected).
Fields of papers citing papers by Danièle Roques
This network shows the impact of papers produced by Danièle Roques. 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 Danièle Roques. The network helps show where Danièle Roques may publish in the future.
Co-authorship network of co-authors of Danièle Roques
This figure shows the co-authorship network connecting the top 25 collaborators of Danièle Roques. A scholar is included among the top collaborators of Danièle Roques 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 Danièle Roques. Danièle Roques is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | Narrow-sense heritability estimates of resistance of sugarcane to Sugarcane yellow leaf virus | 1 |
| 3 | Genetic diversity of sugarcane yellow leaf virus in a sugarcane selection plot in Guadeloupe (FWI) | 5 |
| 4 | GENETIC DIVERSITY OF SUGARCANE YELLOW LEAF VIRUS IN A SUGARCANE SELECTION PLOT IN GUADELOUPE (FWI) | 4 |
| 5 | Le progrès génétique chez la canne à sucre : bilan, enseignements et perspectives | 1 |
| 6 | 77 | |
| 7 | Undertaking genetic mapping of sugarcane smut resistance | 14 |
| 8 | 114 | |
| 9 | 118 | |
| 10 | 2 | |
| 11 | 156 | |
| 12 | 55 |
About Danièle Roques
Danièle Roques is a scholar working on Plant Science, Biomedical Engineering and Surgery, having authored 12 papers that have together received 576 indexed citations. Recurring topics across this work include Sugarcane Cultivation and Processing (11 papers), Plant Pathogenic Bacteria Studies (4 papers) and Biofuel production and bioconversion (4 papers). The work is most often cited by research in Horticulture (34 citations), Plant Science (558 citations) and Biomedical Engineering (342 citations). Danièle Roques has collaborated with scholars based in France, Réunion and South Africa. Frequent co-authors include Angélique D’Hont, Laurent Grivet, Jean-Yves Hoarau, Jean-Christophe Glaszmann, J. C. Glaszmann, Angélique D’Hont, Philippe Feldmann, Claire Lanaud, Jean‐Heinrich Daugrois and L. Grivet. Their work appears in journals such as Genetics, Molecular Biology and Evolution and Theoretical and Applied Genetics.
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.