Levente Kontra

789 total citations · 1 hit paper
9 papers, 570 citations indexed

About

Levente Kontra is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Levente Kontra has authored 9 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Endocrinology and 2 papers in Molecular Biology. Recurrent topics in Levente Kontra's work include Plant Virus Research Studies (5 papers), Plant and Fungal Interactions Research (4 papers) and Plant-Microbe Interactions and Immunity (2 papers). Levente Kontra is often cited by papers focused on Plant Virus Research Studies (5 papers), Plant and Fungal Interactions Research (4 papers) and Plant-Microbe Interactions and Immunity (2 papers). Levente Kontra collaborates with scholars based in Hungary, Italy and United Kingdom. Levente Kontra's co-authors include József Burgyán, Tibor Csorba, Éva Várallyay, Simon Moxon, Raffaela Tavazza, Massimo Turina, Alessandra Lucioli, Mario Tavazza, Viktória Tisza and Anna Medzihradszky and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and PLoS Pathogens.

In The Last Decade

Levente Kontra

7 papers receiving 568 citations

Hit Papers

align trajectories

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.

viral silencing suppressors: Tools forged to fine-tune host-pathogen coexistence

2015 412 citations Tibor Csorba, Levente Kontra et al. Virology profile →

Peers

Levente Kontra

PS

ENDOC

MB

IS

BIOTE

Wan-Xiang Li China

Shahïnez Garcia France

Ruyi Xiong China

V. Harju United Kingdom

Osamu Netsu Japan

Ben Lockhart United States

Zhiyou Du China

F. Faggioli Italy

Seungmo Lim South Korea

Wan-Xiang Li China

Levente Kontra

734 ×1.4

PS

256 ×1.2

ENDOC

158 ×1.2

MB

221 ×1.7

IS

30 ×1.0

BIOTE

Citations per year, relative to Levente Kontra Levente Kontra (= 1×) peers Wan-Xiang Li

Countries citing papers authored by Levente Kontra

Since Specialization

Citations

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

Fields of papers citing papers by Levente Kontra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Levente Kontra

This figure shows the co-authorship network connecting the top 25 collaborators of Levente Kontra. A scholar is included among the top collaborators of Levente Kontra 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 Levente Kontra. Levente Kontra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Tóth, Máté, et al.. (2025). Repeated behavioral testing and the use of summary measures reveal trait anxiety in preclinical rodent models. Translational Psychiatry. 15(1). 440–440.

2.

Nagy, Tibor, et al.. (2025). Whole-Genome Sequencing-Based Population Genetic Analysis of Wild and Domestic Rabbit Breeds. Animals. 15(6). 775–775. 1 indexed citations

3.

Ali, Mohammad, et al.. (2024). Rapid and cost-effective molecular karyotyping in wheat, barley, and their cross-progeny by chromosome-specific multiplex PCR. Plant Methods. 20(1). 37–37.

4.

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

5.

Nagy, Tibor, et al.. (2019). ChIPSummitDB: a ChIP-seq-based database of human transcription factor binding sites and the topological arrangements of the proteins bound to them. Database. 2020. 12 indexed citations

6.

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

7.

Molnár, János, Emese Szabó, Levente Kontra, et al.. (2018). NGS of Virus-Derived Small RNAs as a Diagnostic Method Used to Determine Viromes of Hungarian Vineyards. Frontiers in Microbiology. 9. 56 indexed citations

8.

Kontra, Levente, Tibor Csorba, Mario Tavazza, et al.. (2016). Distinct Effects of p19 RNA Silencing Suppressor on Small RNA Mediated Pathways in Plants. PLoS Pathogens. 12(10). e1005935–e1005935. 59 indexed citations

9.

Csorba, Tibor, Levente Kontra, & József Burgyán. (2015). viral silencing suppressors: Tools forged to fine-tune host-pathogen coexistence. Virology. 479-480. 85–103. 412 indexed citations breakdown →

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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