Éva Várallyay

3.0k total citations · 1 hit paper
52 papers, 2.2k citations indexed

About

Éva Várallyay is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Éva Várallyay has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Plant Science, 22 papers in Endocrinology and 18 papers in Molecular Biology. Recurrent topics in Éva Várallyay's work include Plant Virus Research Studies (33 papers), Plant and Fungal Interactions Research (22 papers) and Insect-Plant Interactions and Control (9 papers). Éva Várallyay is often cited by papers focused on Plant Virus Research Studies (33 papers), Plant and Fungal Interactions Research (22 papers) and Insect-Plant Interactions and Control (9 papers). Éva Várallyay collaborates with scholars based in Hungary, Czechia and United States. Éva Várallyay's co-authors include Zoltán Havelda, József Burgyán, Anna Válóczi, Tibor Csorba, Lóránt Lakatos, Attila Molnár, Christophe Lacomme, László Gráf, László Szilágyi and Sakari Kauppinen and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Éva Várallyay

48 papers receiving 2.2k citations

Hit Papers

MicroRNA detection by northern blotting using locked nucl... 2008 2026 2014 2020 2008 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MicroRNA detection by northern blotting using locked nucleic acid probes
    2008 563 citations Éva Várallyay, József Burgyán et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éva Várallyay Hungary 21 1.2k 1.2k 533 365 214 52 2.2k
Yi Pei United States 23 732 0.6× 2.2k 1.9× 500 0.9× 200 0.5× 129 0.6× 42 2.9k
Gavin J. Knott United States 21 385 0.3× 3.5k 3.0× 190 0.4× 72 0.2× 302 1.4× 36 3.9k
Neema Agrawal India 9 371 0.3× 1.2k 1.0× 149 0.3× 35 0.1× 383 1.8× 14 1.5k
Mario Keller France 25 945 0.8× 1.2k 1.0× 33 0.1× 162 0.4× 159 0.7× 59 1.9k
Daniel Schümperli Switzerland 40 373 0.3× 3.4k 3.0× 102 0.2× 58 0.2× 132 0.6× 90 4.1k
Thierry Lagrange France 25 2.1k 1.7× 2.7k 2.4× 192 0.4× 169 0.5× 79 0.4× 38 3.9k
Palakodeti V.N. Dasaradhi India 9 203 0.2× 813 0.7× 150 0.3× 38 0.1× 76 0.4× 10 1.2k
Thirumaran Thanabalu Singapore 20 128 0.1× 862 0.7× 119 0.2× 111 0.3× 348 1.6× 47 1.6k
David E. Weinberg United States 13 297 0.2× 2.0k 1.7× 215 0.4× 96 0.3× 28 0.1× 18 2.3k
Stefan Juranek Germany 21 384 0.3× 2.7k 2.3× 557 1.0× 32 0.1× 33 0.2× 29 2.9k

Countries citing papers authored by Éva Várallyay

Since Specialization
Citations

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

Fields of papers citing papers by Éva Várallyay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Várallyay

This figure shows the co-authorship network connecting the top 25 collaborators of Éva Várallyay. A scholar is included among the top collaborators of Éva Várallyay 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 Éva Várallyay. Éva Várallyay 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
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Oláh, Karl S., et al.. (2024). First Report of Grapevine Leafroll-Associated Virus 4 Infecting Grapevine in Hungary. Plant Disease. 108(7). 2245–2245. 1 indexed citations
4.
Predajňa, Lukáš, et al.. (2023). Clematis vitalba Is a Natural Host of the Novel Ilarvirus, Prunus Virus I. Viruses. 15(9). 1964–1964.
5.
Koloniuk, Igor, et al.. (2023). Analysis of Virus-Derived siRNAs in Strawberry Plants Co-Infected with Multiple Viruses and Their Genotypes. Plants. 12(13). 2564–2564. 3 indexed citations
6.
Виноградова, С. В., et al.. (2023). The First Virome of a Russian Vineyard. Plants. 12(18). 3292–3292. 3 indexed citations
7.
Várallyay, Éva, Jaroslava Přibylová, Josef Špak, et al.. (2022). Detection of Apple Hammerhead Viroid, Apple Luteovirus 1 and Citrus Concave Gum-Associated Virus in Apple Propagation Materials and Orchards in the Czech Republic and Hungary. Viruses. 14(11). 2347–2347. 8 indexed citations
8.
Várallyay, Éva, et al.. (2022). Viromes of Hungarian Peach Trees Identified by High-Throughput Sequencing of Small RNAs. Plants. 11(12). 1591–1591. 8 indexed citations
9.
Várallyay, Éva, et al.. (2022). Grapevine Pinot Gris Virus Is Present in Different Non-Vitis Hosts. Plants. 11(14). 1830–1830. 13 indexed citations
10.
Várallyay, Éva, et al.. (2021). Controlled RISC loading efficiency of miR168 defined by miRNA duplex structure adjusts ARGONAUTE1 homeostasis. Nucleic Acids Research. 49(22). 12912–12928. 20 indexed citations
11.
Várallyay, Éva, et al.. (2021). High-Throughput Sequencing of Small RNAs for Diagnostics of Grapevine Viruses and Viroids in Russia. Viruses. 13(12). 2432–2432. 14 indexed citations
12.
Várallyay, Éva, et al.. (2021). Variable Populations of Grapevine Virus T Are Present in Vineyards of Hungary. Viruses. 13(6). 1119–1119. 6 indexed citations
13.
Elbeaino, Toufic, Levente Kontra, Lucie Tamisier, et al.. (2020). Complete Sequence, Genome Organization and Molecular Detection of Grapevine Line Pattern Virus, a New Putative Anulavirus Infecting Grapevine. Viruses. 12(6). 602–602. 3 indexed citations
14.
Contaldo, Nicoletta, Romolo Laurita, Éva Várallyay, et al.. (2020). Plasma activated water triggers plant defence responses. Scientific Reports. 10(1). 19211–19211. 38 indexed citations
15.
Várallyay, Éva, et al.. (2020). Millet Could Be both a Weed and Serve as a Virus Reservoir in Crop Fields. Plants. 9(8). 954–954. 4 indexed citations
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Molnár, János, et al.. (2020). Grapevine rootstocks can be a source of infection with non-regulated viruses. European Journal of Plant Pathology. 156(3). 897–912. 16 indexed citations
18.
Kontra, Levente, Kenny Paul, Imre Vass, et al.. (2019). Differential gene expression and physiological changes during acute or persistent plant virus interactions may contribute to viral symptom differences. PLoS ONE. 14(5). e0216618–e0216618. 27 indexed citations
19.
Molnár, János, et al.. (2018). Small RNA NGS Revealed the Presence of Cherry Virus A and Little Cherry Virus 1 on Apricots in Hungary. Viruses. 10(6). 318–318. 14 indexed citations
20.
Molnár, Attila, Tibor Csorba, Lóránt Lakatos, et al.. (2005). Plant Virus-Derived Small Interfering RNAs Originate Predominantly from Highly Structured Single-Stranded Viral RNAs. Journal of Virology. 79(12). 7812–7818. 321 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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