Eva Zyprian

3.5k total citations
72 papers, 2.4k citations indexed

About

Eva Zyprian is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Eva Zyprian has authored 72 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Plant Science, 45 papers in Food Science and 24 papers in Molecular Biology. Recurrent topics in Eva Zyprian's work include Horticultural and Viticultural Research (58 papers), Fermentation and Sensory Analysis (45 papers) and Plant Pathogens and Fungal Diseases (23 papers). Eva Zyprian is often cited by papers focused on Horticultural and Viticultural Research (58 papers), Fermentation and Sensory Analysis (45 papers) and Plant Pathogens and Fungal Diseases (23 papers). Eva Zyprian collaborates with scholars based in Germany, Italy and United States. Eva Zyprian's co-authors include Reinhard Töpfer, Rudolf Eibach, Murat Akkurt, Leocir José Welter, Andreas Kortekamp, Ludger Hausmann, Erika Maul, S. Grando, Florian Schwander and Ilkhom B. Salakhutdinov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Eva Zyprian

67 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
Eva Zyprian Germany 28 2.1k 1.1k 772 713 330 72 2.4k
Patrice This France 21 2.2k 1.0× 1.4k 1.3× 219 0.3× 733 1.0× 735 2.2× 36 2.5k
Lance Cadle‐Davidson United States 27 1.9k 0.9× 541 0.5× 958 1.2× 434 0.6× 104 0.3× 88 2.1k
Sabine Wiedemann‐Merdinoglu France 15 1.5k 0.7× 477 0.4× 601 0.8× 548 0.8× 68 0.2× 27 1.8k
Summaira Riaz United States 25 2.1k 1.0× 1.1k 1.0× 537 0.7× 516 0.7× 458 1.4× 72 2.2k
Е. С. Наумова Russia 28 1.2k 0.6× 1.9k 1.7× 290 0.4× 2.1k 3.0× 114 0.3× 141 2.8k
Artur da Câmara Machado Portugal 21 1.3k 0.6× 324 0.3× 174 0.2× 767 1.1× 169 0.5× 64 1.8k
Silvia Vezzulli Italy 20 990 0.5× 422 0.4× 230 0.3× 368 0.5× 108 0.3× 49 1.2k
Paula Gonçalves Portugal 32 1.4k 0.6× 1.8k 1.7× 235 0.3× 2.3k 3.2× 186 0.6× 58 3.0k
Г. И. Наумов Russia 28 1.0k 0.5× 1.6k 1.5× 216 0.3× 1.8k 2.5× 100 0.3× 133 2.4k
Pere Mestre France 29 2.2k 1.0× 312 0.3× 742 1.0× 631 0.9× 37 0.1× 44 2.5k

Countries citing papers authored by Eva Zyprian

Since Specialization
Citations

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

Fields of papers citing papers by Eva Zyprian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Zyprian

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Zyprian. A scholar is included among the top collaborators of Eva Zyprian 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 Eva Zyprian. Eva Zyprian 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.
Röckel, Franco, Torsten Wenke, Florian Schwander, et al.. (2024). Genotyping-by-sequencing-based high-resolution mapping reveals a single candidate gene for the grapevine veraison locus Ver1. PLANT PHYSIOLOGY. 196(1). 244–260. 5 indexed citations
2.
Holtgräwe, Daniela, Prisca Viehöver, Bruno Hüettel, et al.. (2023). Phased grapevine genome sequence of an Rpv12 carrier for biotechnological exploration of resistance to Plasmopara viticola. Frontiers in Plant Science. 14. 1180982–1180982. 6 indexed citations
3.
Zyprian, Eva, et al.. (2019). Colonization of Different Grapevine Tissues by Plasmopara viticola—A Histological Study. Frontiers in Plant Science. 10. 951–951. 33 indexed citations
4.
Gabriel, Doreen, et al.. (2018). Identification of co-located QTLs and genomic regions affecting grapevine cluster architecture. Theoretical and Applied Genetics. 132(4). 1159–1177. 24 indexed citations
5.
Zyprian, Eva, Florian Schwander, Silvio Šimon, et al.. (2016). Quantitative trait loci affecting pathogen resistance and ripening of grapevines. Molecular Genetics and Genomics. 291(4). 1573–1594. 102 indexed citations
6.
Wehner, Gwendolin, Christiane Balko, Klaus Humbeck, Eva Zyprian, & Frank Ordon. (2016). Expression profiling of genes involved in drought stress and leaf senescence in juvenile barley. BMC Plant Biology. 16(1). 3–3. 44 indexed citations
7.
Eibach, Rudolf, Eva Zyprian, Leocir José Welter, & Reinhard Töpfer. (2015). The use of molecular markers for pyramiding resistance genes in grapevine breeding. Julius Kühn-Institut. 46(3). 120–125. 52 indexed citations
8.
Schwander, Florian, et al.. (2014). Sequence analysis of loci Rpv10 and Rpv3 for resistance against grapevine downy mildew (Plasmopara viticola). Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 4 indexed citations
9.
Emanuelli, Francesco, Silvia Lorenzi, Lukasz Grzeskowiak, et al.. (2013). Genetic diversity and population structure assessed by SSR and SNP markers in a large germplasm collection of grape. BMC Plant Biology. 13(1). 39–39. 287 indexed citations
10.
Ali, Kashif, Federica Maltese, Andreia Figueiredo, et al.. (2012). Alterations in grapevine leaf metabolism upon inoculation with Plasmopara viticola in different time-points. Plant Science. 191-192. 100–107. 55 indexed citations
11.
Figueiredo, Andreia, Filipa Monteiro, Ana Margarida Fortes, et al.. (2012). Cultivar-specific kinetics of gene induction during downy mildew early infection in grapevine. Functional & Integrative Genomics. 12(2). 379–386. 52 indexed citations
12.
Schwander, Florian, Rudolf Eibach, Eva Zyprian, & Reinhard Töpfer. (2011). Localisation and fine-mapping of the downy mildew resistance locus Rpv10 in grapevine. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 23. 2 indexed citations
13.
Schwander, Florian, Rudolf Eibach, Iris Fechter, et al.. (2011). Rpv10: a new locus from the Asian Vitis gene pool for pyramiding downy mildew resistance loci in grapevine. Theoretical and Applied Genetics. 124(1). 163–176. 151 indexed citations
15.
Zyprian, Eva, et al.. (2005). Transgenic plants of Vitis vinifera cv. Seyval blanc. Plant Cell Reports. 24(7). 433–438. 34 indexed citations
16.
Moser, Claudio, Cinzia Segala, Paolo Fontana, et al.. (2005). Comparative analysis of expressed sequence tags from different organs of Vitis vinifera L.. Functional & Integrative Genomics. 5(4). 208–217. 38 indexed citations
17.
Werner, Stefan, Ulrike Steiner, Rayko Becher, et al.. (2002). Chitin synthesis during in planta growth and asexual propagation of the cellulosic oomycete and obligate biotrophic grapevine pathogenPlasmopara viticola. FEMS Microbiology Letters. 208(2). 169–173. 34 indexed citations
18.
Kortekamp, Andreas, et al.. (1998). Investigation of the interaction of Plasmopara viticola with susceptible and resistant grapevine cultivars.. Zeitschrift für Pflanzenkrankheiten und Pflanzenschutz. 105(5). 475–488. 46 indexed citations
19.
Böhm, Alex & Eva Zyprian. (1998). RAPD marker in grapevine ( Vitis spp.) similar to plant retrotransposons. Plant Cell Reports. 17(5). 415–421. 17 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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