Darko Preiner

1.1k total citations
73 papers, 657 citations indexed

About

Darko Preiner is a scholar working on Plant Science, Food Science and Biochemistry. According to data from OpenAlex, Darko Preiner has authored 73 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 51 papers in Food Science and 22 papers in Biochemistry. Recurrent topics in Darko Preiner's work include Fermentation and Sensory Analysis (51 papers), Horticultural and Viticultural Research (49 papers) and Phytochemicals and Antioxidant Activities (22 papers). Darko Preiner is often cited by papers focused on Fermentation and Sensory Analysis (51 papers), Horticultural and Viticultural Research (49 papers) and Phytochemicals and Antioxidant Activities (22 papers). Darko Preiner collaborates with scholars based in Croatia, France and United States. Darko Preiner's co-authors include Jasminka Karoglan Kontić, Ivana Tomaz, Edi Maletić, Domagoj Stupić, Zvjezdana Marković, Ana Jeromel, Željko Andabaka, Danijela Ašperger, Luna Maslov Bandić and Silvio Šimon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Experimental Botany and Molecules.

In The Last Decade

Darko Preiner

67 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darko Preiner Croatia 16 467 403 219 123 85 73 657
Jasminka Karoglan Kontić Croatia 15 450 1.0× 333 0.8× 199 0.9× 150 1.2× 78 0.9× 74 643
Maria Teresa Frangipane Italy 13 275 0.6× 307 0.8× 131 0.6× 77 0.6× 34 0.4× 32 509
Seth D. Cohen United States 14 857 1.8× 712 1.8× 244 1.1× 211 1.7× 137 1.6× 18 1.0k
Aspasia Nisiotou Greece 21 684 1.5× 896 2.2× 125 0.6× 332 2.7× 210 2.5× 33 1.2k
Ivana Tomaz Croatia 14 328 0.7× 354 0.9× 247 1.1× 103 0.8× 27 0.3× 56 562
Karel Krofta Czechia 19 686 1.5× 505 1.3× 149 0.7× 190 1.5× 8 0.1× 91 1.0k
Teng-Fei Xu China 14 480 1.0× 247 0.6× 181 0.8× 186 1.5× 16 0.2× 20 598
Francesca Fort Spain 18 784 1.7× 884 2.2× 297 1.4× 133 1.1× 199 2.3× 38 997
Alberto Miele Brazil 17 612 1.3× 535 1.3× 116 0.5× 71 0.6× 102 1.2× 79 749
Clotilde Verriès France 12 902 1.9× 474 1.2× 318 1.5× 896 7.3× 28 0.3× 13 1.3k

Countries citing papers authored by Darko Preiner

Since Specialization
Citations

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

Fields of papers citing papers by Darko Preiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darko Preiner

This figure shows the co-authorship network connecting the top 25 collaborators of Darko Preiner. A scholar is included among the top collaborators of Darko Preiner 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 Darko Preiner. Darko Preiner 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.
Marković, Zvjezdana, et al.. (2025). Grape volatile organic compounds: analysis, biosynthesis, and profiling. Journal of Experimental Botany. 76(11). 3016–3037. 2 indexed citations
2.
Preiner, Darko, et al.. (2025). Comparison of Different DNA Isolation Methods from Grapevine (Vitis vinifera) Leaves. Separations. 12(11). 316–316.
3.
Tomaz, Ivana, Monika Zovko, Davor Romić, et al.. (2025). Adaptive response of Babić grape berry skin polyphenols to elevated temperatures and irrigation regimes. Journal of Food Composition and Analysis. 142. 107513–107513. 1 indexed citations
4.
Tomaz, Ivana, et al.. (2024). Optimisation of SPME Arrow GC/MS method for determination of wine volatile organic compounds. OENO One. 58(4). 1 indexed citations
5.
Preiner, Darko, et al.. (2023). Croatian Native Grapevine Varieties’ VOCs Responses upon Plasmopara viticola Inoculation. Plants. 12(2). 404–404. 3 indexed citations
6.
Kozina, Bernard, et al.. (2023). The Effect of Seed Removal and Extraction Time on the Phenolic Profile of Plavac Mali Wine. Applied Sciences. 13(9). 5411–5411. 5 indexed citations
7.
Tomašević, Marina, et al.. (2023). The Influence of Grape Clone and Yeast Strain on Varietal Thiol Concentrations and Sensory Properties of Graševina Wines. Foods. 12(5). 985–985. 4 indexed citations
8.
Preiner, Darko, et al.. (2022). A Simple Method for the Determination of Polyphenolic Compounds from Grapevine Leaves. Separations. 9(2). 24–24. 5 indexed citations
9.
Tomaz, Ivana, Cécile Marchal, Jasminka Karoglan Kontić, et al.. (2022). Discrimination of genetic and geographical groups of grape varieties (Vitis vinifera L.) based on their volatile organic compounds. Frontiers in Plant Science. 13. 942148–942148. 18 indexed citations
10.
Kontić, Jasminka Karoglan, et al.. (2022). Leaf Polyphenolic Profile as a Determinant of Croatian Native Grapevine Varieties’ Susceptibility to Plasmopara viticola. Frontiers in Plant Science. 13. 836318–836318. 2 indexed citations
11.
Preiner, Darko, et al.. (2021). Suvremeni trendovi vinogradarsko-vinarske proizvodnje u Hrvatskoj. University of Zagreb University Computing Centre (SRCE). 21(3). 323–332. 1 indexed citations
12.
Tomaz, Ivana, et al.. (2017). Effect of freezing and different thawing methods on the content of polyphenolic compounds of red grape skins. Journal of Food Processing and Preservation. 42(3). e13550–e13550. 11 indexed citations
13.
Andabaka, Željko, Domagoj Stupić, Marko Karoglan, et al.. (2016). Historic development of the most important autochthonous dalmatian grapevine cultivars (Vitis vinifera L.). 39(3). 14–20. 1 indexed citations
14.
Bandić, Luna Maslov, et al.. (2015). Aminoacids Profile of cv. Kraljevina (Vitis vinifera L.) Clones Candidates. Hrčak Portal of scientific journals of Croatia (University Computing Centre). 80(2). 109–112. 1 indexed citations
15.
Maletić, Edi, et al.. (2014). Ampelographic and genetic studies into 'Teran'/'Refošk' grapes in Istria (Croatia) – one or two varieties?. 64(2). 54–62. 3 indexed citations
16.
Marković, Zvjezdana, et al.. (2013). Effect of Proline Pretreatment on Grapevine Shoot-Tip Response to a Droplet-Vitrification Protocol. American Journal of Plant Sciences. 4(12). 2414–2417. 7 indexed citations
17.
Vončina, Darko, et al.. (2011). Incidence of virus infections in grapevines from Croatian collection plantations. SHILAP Revista de lepidopterología. 50(2). 316–326. 9 indexed citations
18.
Preiner, Darko, Jasminka Karoglan Kontić, Zvjezdana Marković, et al.. (2010). Effect of grapevine leafroll associated virus 3 on ampelographic characteristics of cv. Grk (Vitis vinifera L.).. 1 indexed citations
19.
Kontić, Jasminka Karoglan, Darko Preiner, Silvio Šimon, et al.. (2009). Sanitary Status of Croatian Native Grapevine Varieties. Agriculturae Conspectus Scientificus (Poljoprivredna Znanstvena Smotra). 74(2). 99–103. 16 indexed citations
20.
Maletić, Edi, Jasminka Karoglan Kontić, Darko Preiner, et al.. (2009). Anthocyanin profile and antioxidative capacity of some autochthonous Croatian red wines. Journal of Food Agriculture & Environment. 7(1). 48–51. 19 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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