D. Treutter

7.2k total citations · 2 hit papers
160 papers, 5.6k citations indexed

About

D. Treutter is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, D. Treutter has authored 160 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Plant Science, 63 papers in Molecular Biology and 51 papers in Biochemistry. Recurrent topics in D. Treutter's work include Plant Physiology and Cultivation Studies (49 papers), Phytochemicals and Antioxidant Activities (48 papers) and Plant Gene Expression Analysis (36 papers). D. Treutter is often cited by papers focused on Plant Physiology and Cultivation Studies (49 papers), Phytochemicals and Antioxidant Activities (48 papers) and Plant Gene Expression Analysis (36 papers). D. Treutter collaborates with scholars based in Germany, Austria and Italy. D. Treutter's co-authors include W. Feucht, Ionela Regos, Thilo C. Fischer, Susanne Rühmann, Karl Stich, Heidi Halbwirth, G. Forkmann, Celestino Santos‐Buelga, M. Neumüller and Ulrich Mayr and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

D. Treutter

152 papers receiving 5.3k citations

Hit Papers

Significance of flavonoids in plant resistance: a review 2005 2026 2012 2019 2006 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Treutter Germany 36 3.4k 2.3k 1.8k 835 610 160 5.6k
Nancy L. Paiva United States 27 4.9k 1.4× 4.1k 1.8× 1.4k 0.8× 799 1.0× 383 0.6× 42 7.6k
Angelika Krumbein Germany 41 3.7k 1.1× 2.2k 0.9× 1.1k 0.6× 756 0.9× 289 0.5× 93 5.3k
Stefan Martens Italy 47 3.3k 1.0× 4.9k 2.2× 2.1k 1.2× 1.0k 1.2× 209 0.3× 157 7.7k
John A. Juvik United States 39 3.0k 0.9× 2.5k 1.1× 1.3k 0.7× 544 0.7× 203 0.3× 137 5.5k
Chad E. Finn United States 32 3.6k 1.0× 1.3k 0.6× 2.0k 1.1× 1.1k 1.3× 408 0.7× 204 5.0k
Laura Jaakola Finland 36 3.4k 1.0× 3.5k 1.5× 2.2k 1.2× 738 0.9× 241 0.4× 89 5.7k
Renée J. Grayer United Kingdom 39 2.8k 0.8× 2.2k 1.0× 1.1k 0.6× 1.5k 1.8× 230 0.4× 86 5.3k
Claire Kevers Belgium 36 3.2k 0.9× 2.4k 1.1× 1.2k 0.7× 909 1.1× 222 0.4× 135 4.8k
Maja Mikulič-Petkovšek Slovenia 42 3.4k 1.0× 1.4k 0.6× 2.9k 1.6× 1.6k 1.9× 376 0.6× 192 5.7k
Efraim Lewinsohn Israel 46 2.9k 0.9× 3.4k 1.5× 1.3k 0.7× 1.2k 1.4× 138 0.2× 128 6.0k

Countries citing papers authored by D. Treutter

Since Specialization
Citations

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

Fields of papers citing papers by D. Treutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Treutter

This figure shows the co-authorship network connecting the top 25 collaborators of D. Treutter. A scholar is included among the top collaborators of D. Treutter 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 D. Treutter. D. Treutter 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.
Sinkovič, Lovro, Janez Hribar, Dragan Žnidarčić, D. Treutter, & Rajko Vidrih. (2014). Comparison of the Phenolics Profiles of Forced and Unforced Chicory (Cichorium intybus L.) Cultivars. Hrčak Portal of scientific journals of Croatia (University Computing Centre). 79(2). 133–137. 4 indexed citations
2.
Smit, Inga, et al.. (2013). Influence of etiological measures on biogenic amines in wine.. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 63(3). 139–158. 2 indexed citations
4.
Neumüller, M., et al.. (2010). The inheritance of the hypersensitivity resistance of European plum (Prunus domestica L.) against the Plum pox virus.. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 327–329. 4 indexed citations
5.
Neumüller, M., et al.. (2010). The hypersensitivity resistance of European plum to the Plum pox virus and its potential impact on the epidemiology of the virus.. OpenAgrar. 147–150. 5 indexed citations
6.
Treutter, D., et al.. (2007). Erwinia amylovora modifies phenolic profiles of susceptible and resistant apple through its type III secretion system. Physiologia Plantarum. 132(3). 262–271. 50 indexed citations
7.
Michałek, Sławomir, et al.. (2005). Stimulation of Phenylpropanoid Biosynthesis in Apple ( Malus domestica Borkh. ) by Abiotic Elicitors. European Journal of Horticultural Science. 70(3). 4 indexed citations
8.
Treutter, D.. (2005). Significance of Flavonoids in Plant Resistance and Enhancement of Their Biosynthesis. Plant Biology. 7(6). 581–591. 657 indexed citations breakdown →
9.
Treutter, D., et al.. (2004). Polyphenols and antioxidant capacity of Sorbus domestica L. fruits. Journal of applied botany and food quality. 78(2). 112–116. 18 indexed citations
10.
Schmitz-Eiberger, M., et al.. (2003). Bioactive components in fruits from different apple varieties. Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences). 18 indexed citations
11.
Treutter, D.. (2000). Induced resistance in plant pathology, consequences for the quality of plant foodstuffs?. 74. 1–4. 4 indexed citations
12.
Feucht, W., et al.. (1998). Principles of barrier formation of scab-infected apple fruits.. Zeitschrift für Pflanzenkrankheiten und Pflanzenschutz. 105(4). 394–403. 6 indexed citations
13.
Errea, P., W. Feucht, & D. Treutter. (1994). Characterization of Flavanol Typepolyphenols in Apricot Cultivar and Rootstocks.. Advances in Horticultural Science. 1000–1005. 9 indexed citations
14.
Treutter, D. & W. Feucht. (1991). Phenols gradients in opposing cells of Prunus heterografts.. Advances in Horticultural Science. 1000–1005. 2 indexed citations
15.
Treutter, D., et al.. (1990). Analysis of phenols in varieties and wild species of apple using HPLC-CRD technology.. 40(2). 80–83. 1 indexed citations
16.
Treutter, D., Paul Schmid, & W. Feucht. (1990). Wall-bound phenols and peroxidase activity in shoots of Prunus. II. Oxidation of ferulic acid by covalently bound peroxidases.. 55(3). 127–129. 1 indexed citations
17.
Treutter, D., Paul Schmid, & W. Feucht. (1990). Wall-bound phenols and peroxidase activity in shoots of Prunus. I. Isolation and identification of phenolic acids.. 55(2). 69–72. 4 indexed citations
18.
Treutter, D. & W. Feucht. (1990). Accumulation of flavan-3-ols in fungus-infected leaves of Rosaceae.. Zeitschrift für Pflanzenkrankheiten und Pflanzenschutz. 97(6). 634–641. 29 indexed citations
19.
Bauer, H. & D. Treutter. (1990). Identification of Pelargonium genotypes by phenolic 'fingerprints'. II. Cultivar identification by HPLC analysis of leaf phenols combined with discriminant analysis.. 55(4). 187–191. 7 indexed citations
20.
Bauer, H. & D. Treutter. (1990). Identification of Pelargonium genotypes by phenolic 'fingerprints'. I. Separation and identification of phenolic compounds in leaves.. 55(3). 113–118. 5 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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