J. Tourneur
- Plant Science top 5%
- Molecular Biology
- Biotechnology top 10%
- Agronomy and Crop Science top 10%
- Ecology
- Co-authors
- Lise JouaninColette TourneurDavid BouchezG. GénierPascal FlamentYvette DattéeJean DénariéThierry Huguet
- Topics
- Plant tissue culture and regeneration (7 papers)Insect Resistance and Genetics (3 papers)Bacteriophages and microbial interactions (2 papers)
In The Last Decade
J. Tourneur
13 papers receiving 480 citations
Peers
Comparison fields: 5 of 33
- Plant Science 419
- Molecular Biology 263
- Biotechnology 72
- Agronomy and Crop Science 54
- Ecology 19
Countries citing papers authored by J. Tourneur
This map shows the geographic impact of J. Tourneur'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 J. Tourneur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Tourneur more than expected).
Fields of papers citing papers by J. Tourneur
This network shows the impact of papers produced by J. Tourneur. 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 J. Tourneur. The network helps show where J. Tourneur may publish in the future.
Co-authorship network of co-authors of J. Tourneur
This figure shows the co-authorship network connecting the top 25 collaborators of J. Tourneur. A scholar is included among the top collaborators of J. Tourneur 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 J. Tourneur. J. Tourneur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 4 | |
| 3 | Introduction of new traits into cotton through genetic engineering. The example of insect resistance | 0 |
| 4 | Agrobacterium tumefaciens mediated transformation of cotton (Gossypium hirsutum L.) : the use of genes encoding entomopathogenic proteins | 1 |
| 5 | 44 | |
| 6 | 273 | |
| 7 | 30 | |
| 8 | 69 | |
| 9 | The Plasmids of Agropine-Type Agrobacterium rhizogenes Strains: Physical and Preliminary Functional Maps | 1 |
| 10 | 39 | |
| 11 | 4 | |
| 12 | Perte de virulence associée à la perte d'une activité enzymatique chez Agrobacterium tumefaciens. | 9 |
| 13 | [Loss of virulence associated with loss of an enzyme activity in Agrobacterium tumefaciens]. | 4 |
| 14 | Presence of phages in crown-gall tissues grown in vitro. | 1 |
About J. Tourneur
J. Tourneur is a scholar working on Biotechnology, Insect Science and Plant Science, having authored 14 papers that have together received 497 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (7 papers), Insect Resistance and Genetics (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Plant Science (419 citations), Biotechnology (72 citations) and Agronomy and Crop Science (54 citations). J. Tourneur has collaborated with scholars based in France and Morocco. Frequent co-authors include Lise Jouanin, Colette Tourneur, David Bouchez, G. Génier, Pascal Flament, Yvette Dattée, Jean Dénarié, Thierry Huguet, David G. Barker and F. Blondon. Their work appears in journals such as Journal of Virology, Plant Science and Euphytica.
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.