Thomas Debener

6.7k total citations
145 papers, 4.4k citations indexed

About

Thomas Debener is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Thomas Debener has authored 145 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Plant Science, 74 papers in Molecular Biology and 27 papers in Cell Biology. Recurrent topics in Thomas Debener's work include Powdery Mildew Fungal Diseases (41 papers), Plant Reproductive Biology (28 papers) and Plant Pathogens and Resistance (28 papers). Thomas Debener is often cited by papers focused on Powdery Mildew Fungal Diseases (41 papers), Plant Reproductive Biology (28 papers) and Plant Pathogens and Resistance (28 papers). Thomas Debener collaborates with scholars based in Germany, France and Netherlands. Thomas Debener's co-authors include Marcus Linde, Francesco Salamini, Christiane Gebhardt, L. Mattiesch, Enrique Ritter, Undine Schachtschabel, Helgard Kaufmann, Amalia Barone, Birgit Walkemeier and B. von Malek and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Thomas Debener

143 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Debener Germany 36 3.5k 2.1k 682 623 565 145 4.4k
Eric van de Weg Netherlands 44 4.6k 1.3× 1.9k 0.9× 1.5k 2.3× 862 1.4× 818 1.4× 142 5.6k
Ross Crowhurst New Zealand 31 2.7k 0.8× 1.9k 0.9× 836 1.2× 299 0.5× 386 0.7× 72 3.7k
Thomas M. Gradziel United States 35 3.2k 0.9× 2.4k 1.1× 374 0.5× 1.1k 1.7× 204 0.4× 156 3.9k
Pere Arús Spain 49 6.0k 1.7× 3.2k 1.5× 1.3k 1.9× 811 1.3× 1.8k 3.1× 179 7.2k
Takehiko Shimada Japan 32 2.4k 0.7× 1.9k 0.9× 236 0.3× 339 0.5× 163 0.3× 113 3.3k
Elisabeth Dirlewanger France 35 3.9k 1.1× 2.0k 0.9× 672 1.0× 421 0.7× 553 1.0× 95 4.4k
Magda‐Viola Hanke Germany 32 2.5k 0.7× 1.7k 0.8× 735 1.1× 291 0.5× 129 0.2× 140 3.1k
Tesfaye Mengiste United States 42 6.7k 1.9× 3.0k 1.4× 806 1.2× 437 0.7× 249 0.4× 75 7.4k
Daniel James Sargent United Kingdom 33 2.5k 0.7× 1.4k 0.6× 574 0.8× 343 0.6× 343 0.6× 85 2.9k
T. M. Fulton United States 15 3.6k 1.0× 1.3k 0.6× 203 0.3× 223 0.4× 1.5k 2.6× 15 3.9k

Countries citing papers authored by Thomas Debener

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Debener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Debener

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Debener. A scholar is included among the top collaborators of Thomas Debener 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 Thomas Debener. Thomas Debener 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.
Thomsen, Trine Rolighed, et al.. (2024). Development of a robust SNP marker set for genotyping diverse gene bank collections of polyploid roses. BMC Plant Biology. 24(1). 1076–1076. 1 indexed citations
2.
Debener, Thomas, et al.. (2024). Association of Single Nucleotide Polymorphisms (SNPS) to Black Spot Resistance in Roses. Agro Bali Agricultural Journal. 7(1). 1–16. 1 indexed citations
3.
Linde, Marcus, et al.. (2024). Automated image registration of RGB, hyperspectral and chlorophyll fluorescence imaging data. Plant Methods. 20(1). 175–175. 6 indexed citations
4.
Linde, Marcus, et al.. (2023). Potato Wart Isolates from Europe and North America Form Distinct Clusters of Genetic Variation. Life. 13(9). 1883–1883. 1 indexed citations
5.
Debener, Thomas, et al.. (2023). Brillouin and Raman imaging for plant cell wall mechanics. 2 indexed citations
6.
Debener, Thomas, et al.. (2023). Optimization ofRhizobium rhizogenes-mediated transformation for a diversity set of rose genotypes. Acta Horticulturae. 225–234. 3 indexed citations
7.
Schulz, Dietmar, et al.. (2023). Genome-wide association study and marker development for adventitious root formation in rose. Acta Horticulturae. 331–340. 3 indexed citations
8.
Arens, Paul, Xintong Liu, Xin Zhang, et al.. (2021). Analysis of allelic variants of RhMLO genes in rose and functional studies on susceptibility to powdery mildew related to clade V homologs. Theoretical and Applied Genetics. 134(8). 2495–2515. 5 indexed citations
9.
10.
Rusanov, Krasimir, et al.. (2019). Genetic control of flower petal number in Rosa x Damascena Mill f. trigintipetala. Biotechnology & Biotechnological Equipment. 33(1). 597–604. 4 indexed citations
11.
Debener, Thomas. (2019). The Beast and the Beauty: What Do we know about Black Spot in Roses?. Critical Reviews in Plant Sciences. 38(4). 313–326. 11 indexed citations
12.
Linde, Marcus, et al.. (2018). Morphological characterization, genetic diversity and population structure of African nightshades (section Solanum L.). Genetic Resources and Crop Evolution. 66(1). 105–120. 7 indexed citations
13.
Neu, Enzo & Thomas Debener. (2018). Prediction of the Diplocarpon rosae secretome reveals candidate genes for effectors and virulence factors. Fungal Biology. 123(3). 231–239. 14 indexed citations
14.
Linde, Marcus, et al.. (2017). African nightshades: genetic, biochemical and metabolite diversity of an underutilised indigenous leafy vegetable and its potential for plant breeding. The Journal of Horticultural Science and Biotechnology. 93(2). 113–121. 9 indexed citations
15.
Schulz, Dietmar, et al.. (2009). Evaluation of genus Rosa germplasm for resistance to black spot, downy mildew and powdery mildew.. European Journal of Horticultural Science. 74(1). 1–9. 14 indexed citations
16.
Debener, Thomas, et al.. (2008). Novel breeding strategies for ornamental Dahlias II: molecular analyses of genetic distances between Dahlia cultivars and wild species. SHILAP Revista de lepidopterología. 4 indexed citations
17.
Debener, Thomas, et al.. (2004). Novel breeding strategies for ornamental dahlias I: analysis of the Dahlia variabilis breeding system with molecular markers. European Journal of Horticultural Science. 69(5). 177–183. 4 indexed citations
18.
Baydar, Nilgün Göktürk, Hasan Baydar, & Thomas Debener. (2004). Analysis of genetic relationships among Rosa damascena plants grown in Turkey by using AFLP and microsatellite markers. Journal of Biotechnology. 111(3). 263–267. 79 indexed citations
19.
Gebhardt, Christiane, Enrique Ritter, Amalia Barone, et al.. (1991). RFLP maps of potato and their alignment with the homoeologous tomato genome. Theoretical and Applied Genetics. 83(1). 49–57. 328 indexed citations
20.
Gebhardt, Christiane, Enrique Ritter, Thomas Debener, et al.. (1989). RFLP analysis and linkage mapping in Solanum tuberosum. Theoretical and Applied Genetics. 78(1). 65–75. 319 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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