Léon Otten

3.8k total citations
87 papers, 2.5k citations indexed

About

Léon Otten is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Léon Otten has authored 87 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 63 papers in Plant Science and 13 papers in Biotechnology. Recurrent topics in Léon Otten's work include Plant tissue culture and regeneration (59 papers), Chromosomal and Genetic Variations (19 papers) and Genomics and Phylogenetic Studies (14 papers). Léon Otten is often cited by papers focused on Plant tissue culture and regeneration (59 papers), Chromosomal and Genetic Variations (19 papers) and Genomics and Phylogenetic Studies (14 papers). Léon Otten collaborates with scholars based in France, Germany and United States. Léon Otten's co-authors include Robbert A. Schilperoort, Thomas J. Bürr, E. Szegedi, Jeff Schell, Tatiana V. Matveeva, Ke Chen, François Paulus, Patrice de Ruffray, Bruno Tinland and C. Bazzi and has published in prestigious journals such as Nature, The Plant Cell and Applied and Environmental Microbiology.

In The Last Decade

Léon Otten

86 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Léon Otten France 30 2.0k 1.9k 614 317 102 87 2.5k
Steven R. Scofield United States 19 2.4k 1.2× 1.1k 0.6× 214 0.3× 172 0.5× 141 1.4× 42 2.6k
R. I. S. Brettell Australia 30 2.2k 1.1× 2.2k 1.1× 713 1.2× 113 0.4× 45 0.4× 46 2.7k
Roger Thilmony United States 24 2.8k 1.4× 1.1k 0.5× 216 0.4× 224 0.7× 46 0.5× 46 3.2k
Thomas Boller Switzerland 10 1.4k 0.7× 959 0.5× 227 0.4× 187 0.6× 49 0.5× 10 1.8k
Armin Djamei Germany 24 2.4k 1.2× 1.4k 0.7× 110 0.2× 504 1.6× 68 0.7× 51 2.8k
Sandra Dincher United States 14 3.3k 1.7× 1.5k 0.8× 343 0.6× 395 1.2× 20 0.2× 15 3.8k
Peter T. J. Hajdukiewicz United States 9 1.8k 0.9× 2.8k 1.4× 830 1.4× 73 0.2× 26 0.3× 9 3.2k
W. J. Stiekema Netherlands 23 1.8k 0.9× 1.6k 0.8× 336 0.5× 88 0.3× 17 0.2× 51 2.6k
Jean‐Christophe Palauqui France 23 2.3k 1.2× 1.8k 0.9× 213 0.3× 76 0.2× 113 1.1× 31 2.7k
Rodolfo Aramayo United States 23 848 0.4× 1.3k 0.7× 112 0.2× 278 0.9× 65 0.6× 38 1.8k

Countries citing papers authored by Léon Otten

Since Specialization
Citations

This map shows the geographic impact of Léon Otten'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 Léon Otten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léon Otten more than expected).

Fields of papers citing papers by Léon Otten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Léon Otten. 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 Léon Otten. The network helps show where Léon Otten may publish in the future.

Co-authorship network of co-authors of Léon Otten

This figure shows the co-authorship network connecting the top 25 collaborators of Léon Otten. A scholar is included among the top collaborators of Léon Otten 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 Léon Otten. Léon Otten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Ke, et al.. (2023). Extensive natural Agrobacterium-induced transformation in the genus Camellia. Planta. 258(4). 81–81. 1 indexed citations
2.
3.
Otten, Léon. (2021). T-DNA regions from 350 Agrobacterium genomes: maps and phylogeny. Plant Molecular Biology. 106(3). 239–258. 20 indexed citations
4.
Potuschak, Thomas, Javier F. Palatnik, Carla Schommer, et al.. (2019). Inhibition of Arabidopsis thaliana CIN‐like TCP transcription factors by Agrobacterium T‐DNA‐encoded 6B proteins. The Plant Journal. 101(6). 1303–1317. 7 indexed citations
5.
6.
Chen, Ke, François Dorlhac de Borne, E. Szegedi, & Léon Otten. (2014). Deep sequencing of the ancestral tobacco species Nicotiana tomentosiformis reveals multiple T‐ DNA inserts and a complex evolutionary history of natural transformation in the genus Nicotiana. The Plant Journal. 80(4). 669–682. 45 indexed citations
7.
Clément, Bernadette, et al.. (2010). Biological Activity of the Agrobacterium rhizogenes–Derived trolC Gene of Nicotiana tabacum and Its Functional Relation to Other plast Genes. Molecular Plant-Microbe Interactions. 24(1). 44–53. 43 indexed citations
8.
Clément, Bernadette, Jonathan Perot, Pierrette Geoffroy, et al.. (2007). Abnormal Accumulation of Sugars and Phenolics in Tobacco Roots Expressing the Agrobacterium T-6b Oncogene and the Role of These Compounds in 6b-Induced Growth. Molecular Plant-Microbe Interactions. 20(1). 53–62. 18 indexed citations
9.
Clément, Bernadette, Stephan Pollmann, Elmar W. Weiler, Ewa Urbańczyk-Wochniak, & Léon Otten. (2006). The Agrobacterium vitis T‐6b oncoprotein induces auxin‐independent cell expansion in tobacco. The Plant Journal. 45(6). 1017–1027. 20 indexed citations
10.
Clément, Bernadette, et al.. (2005). The T-DNA Oncogene A4-orf8 from Agrobacterium rhizogenes A4 Induces Abnormal Growth in Tobacco. Molecular Plant-Microbe Interactions. 18(3). 205–211. 11 indexed citations
11.
Otten, Léon. (2002). The birth of a memory. Trends in Neurosciences. 25(6). 279–281. 12 indexed citations
12.
Voll, Lars M., et al.. (2002). The rolB-Like Part of the Agrobacterium rhizogenes orf8 Gene Inhibits Sucrose Export in Tobacco. Molecular Plant-Microbe Interactions. 15(9). 956–962. 13 indexed citations
13.
Otten, Léon, et al.. (1999). Structure and function of a conserved DNA region coding for tartrate utilization inAgrobacterium vitis. FEMS Microbiology Letters. 174(2). 333–337. 4 indexed citations
14.
Otten, Léon, et al.. (1999). Sequence and functional analysis of the left-hand part of the T-region from the nopaline-type Ti plasmid, pTiC58. Plant Molecular Biology. 41(6). 765–776. 22 indexed citations
15.
Perrin, Mireille, Pascale Barbier, Gérard Demangeat, et al.. (1995). Transformation of grapevine rootstocks with the coat protein gene of grapevine fanleaf nepovirus. Plant Cell Reports. 14(9). 550–4. 48 indexed citations
16.
Canaday, Jean, et al.. (1992). Organization and functional analysis of three T-DNAs from the vitopine Ti plasmid pTiS4. Molecular and General Genetics MGG. 235(2-3). 292–303. 37 indexed citations
17.
Otten, Léon. (1992). Current ReviewEvolution of Agrobacteria and Their Ti Plasmids - A Review. Molecular Plant-Microbe Interactions. 5(4). 279–279. 66 indexed citations
18.
Tinland, Bruno, et al.. (1990). Agrobacterium tumefaciens T-DNA gene 6b stimulates rol-induced root formation, permits growth at high auxin concentrations and increases root size. Molecular and General Genetics MGG. 223(1). 1–10. 34 indexed citations
19.
Schell, Jeff, Marc Van Montagu, Lothar Willmitzer, et al.. (1984). Transfer of foreign genes to plants and its use to study developmental processes. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
20.
Lemmers, M., Gilbert Engler, Marc Van Montagu, et al.. (1981). Le plasmide Ti, vecteur potentiel pour la modification génétique des plantes. Ghent University Academic Bibliography (Ghent University). 1 indexed citations

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.

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