Rudolf Eibach

1.8k total citations
46 papers, 1.2k citations indexed

About

Rudolf Eibach is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Rudolf Eibach has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 19 papers in Food Science and 13 papers in Molecular Biology. Recurrent topics in Rudolf Eibach's work include Horticultural and Viticultural Research (39 papers), Fermentation and Sensory Analysis (19 papers) and Plant Physiology and Cultivation Studies (10 papers). Rudolf Eibach is often cited by papers focused on Horticultural and Viticultural Research (39 papers), Fermentation and Sensory Analysis (19 papers) and Plant Physiology and Cultivation Studies (10 papers). Rudolf Eibach collaborates with scholars based in Germany, France and Brazil. Rudolf Eibach's co-authors include Reinhard Töpfer, Eva Zyprian, Murat Akkurt, Leocir José Welter, Ludger Hausmann, Florian Schwander, Erika Maul, Ilkhom B. Salakhutdinov, Keith J. Edwards and Iris Fechter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Theoretical and Applied Genetics and Molecular Breeding.

In The Last Decade

Rudolf Eibach

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rudolf Eibach Germany 13 1.1k 665 510 208 156 46 1.2k
Ludger Hausmann Germany 13 777 0.7× 458 0.7× 262 0.5× 234 1.1× 129 0.8× 42 825
Gisèle Butterlin France 11 900 0.8× 644 1.0× 175 0.3× 290 1.4× 267 1.7× 17 965
Jean‐Pierre Péros France 16 764 0.7× 356 0.5× 249 0.5× 206 1.0× 220 1.4× 37 851
Leocir José Welter Brazil 13 666 0.6× 324 0.5× 309 0.6× 156 0.8× 62 0.4× 43 715
Pál Kozma Hungary 10 605 0.5× 274 0.4× 313 0.6× 86 0.4× 49 0.3× 18 618
Angelica Jermakow Australia 11 797 0.7× 182 0.3× 204 0.4× 308 1.5× 81 0.5× 15 836
Paola Barba United States 14 464 0.4× 177 0.3× 180 0.4× 138 0.7× 42 0.3× 21 510
Ilkhom B. Salakhutdinov Uzbekistan 9 551 0.5× 187 0.3× 111 0.2× 113 0.5× 59 0.4× 15 581
Ana María Ramos‐Cabrer Spain 17 645 0.6× 118 0.2× 178 0.3× 186 0.9× 27 0.2× 40 790
Elisa Peressotti Italy 8 471 0.4× 176 0.3× 268 0.5× 84 0.4× 20 0.1× 12 490

Countries citing papers authored by Rudolf Eibach

Since Specialization
Citations

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

Fields of papers citing papers by Rudolf Eibach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rudolf Eibach

This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf Eibach. A scholar is included among the top collaborators of Rudolf Eibach 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 Rudolf Eibach. Rudolf Eibach 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.
2.
Trapp, Oliver, Komlan Avia, Rudolf Eibach, & Reinhard Töpfer. (2023). How to deal with the Green Deal – Resistant grapevine varieties to reduce the use of pesticides in the EU. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
3.
Vesco, Lírio Luiz Dal, et al.. (2022). Pyramiding of resistance alleles to grape powdery mildew assisted by molecular markers. Crop Breeding and Applied Biotechnology. 22(4).
4.
Zyprian, Eva, Rudolf Eibach, Oliver Trapp, Florian Schwander, & Reinhard Töpfer. (2018). Grapevine breeding under climate change: Applicability of a molecular marker linked to véraison. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 57(3). 119–123. 5 indexed citations
5.
Vesco, Lírio Luiz Dal, et al.. (2018). Marker-assisted pyramiding of resistance loci to grape downy mildew. Pesquisa Agropecuária Brasileira. 53(5). 602–610. 16 indexed citations
6.
Hausmann, Ludger, et al.. (2016). Developing tools and resources for breeding grapevines resistant to black rot or phylloxera. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
7.
Töpfer, Reinhard & Rudolf Eibach. (2016). Breeding the next-generation disease-resistant grapevine varieties. 47. 2 indexed citations
8.
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
9.
Huber, Franziska, Franco Röckel, Florian Schwander, et al.. (2016). A view into American grapevine history: Vitis vinifera cv. 'Sémillon' is an ancestor of 'Catawba' and 'Concord'. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 8 indexed citations
10.
11.
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
12.
Maul, Erika, Rudolf Eibach, Eva Zyprian, & Reinhard Töpfer. (2015). The prolific grape variety (Vitis vinifera L.) ‘Heunisch Weiss’ (= ‘Gouais blanc’): bud mutants, “colored” homonyms and further offspring. Julius Kühn-Institut. 54(2). 79–86. 13 indexed citations
13.
Eibach, Rudolf. (2015). Investigations about the genetic resources of grapes with regard to resistance characteristics to powdery mildew 8Oidium tuckeri). Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 33(3). 143–150. 3 indexed citations
14.
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
15.
Gaspero, Gabriele Di, Dario Copetti, Simone D. Castellarin, et al.. (2011). Selective sweep at the Rpv3 locus during grapevine breeding for downy mildew resistance. Theoretical and Applied Genetics. 124(2). 277–286. 104 indexed citations
16.
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
17.
Eibach, Rudolf, Reinhard Töpfer, & Ludger Hausmann. (2010). Use of genetic diversity for grapevine resistance breeding.. OpenAgrar. 60(3). 332–337. 3 indexed citations
18.
Hausmann, Ludger, et al.. (2009). Evaluation of pollen dispersal and cross pollination using transgenic grapevine plants. PubMed. 8(2). 87–99. 7 indexed citations
20.
Salakhutdinov, Ilkhom B., Murat Akkurt, Rudolf Eibach, et al.. (2003). Quantitative trait locus analysis of fungal disease resistance factors on a molecular map of grapevine. Theoretical and Applied Genetics. 108(3). 501–515. 224 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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