Matevž Rupar

416 total citations
21 papers, 294 citations indexed

About

Matevž Rupar is a scholar working on Plant Science, Cell Biology and Ecology. According to data from OpenAlex, Matevž Rupar has authored 21 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 8 papers in Cell Biology and 3 papers in Ecology. Recurrent topics in Matevž Rupar's work include Plant Pathogenic Bacteria Studies (9 papers), Plant-Microbe Interactions and Immunity (8 papers) and Plant Virus Research Studies (8 papers). Matevž Rupar is often cited by papers focused on Plant Pathogenic Bacteria Studies (9 papers), Plant-Microbe Interactions and Immunity (8 papers) and Plant Virus Research Studies (8 papers). Matevž Rupar collaborates with scholars based in United Kingdom, Slovenia and France. Matevž Rupar's co-authors include Maja Ravnikar, Ion Gutiérrez‐Aguirre, George A. Scott, G. Shama, Matthew Dickinson, K. Kanyuka, Emmanuel Jacquot, Denis Kutnjak, Duoduo Wang and Jan Kreuze and has published in prestigious journals such as Analytical Biochemistry, Journal of Virology and Trends in Plant Science.

In The Last Decade

Matevž Rupar

20 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matevž Rupar United Kingdom	12	249	54	45	42	42	21	294
Mónica Betancourt Vásquez Colombia	10	284 1.1×	68 1.3×	46 1.0×	29 0.7×	71 1.7×	25	318
Kevin Ong United States	11	250 1.0×	30 0.6×	70 1.6×	58 1.4×	40 1.0×	35	330
Yafei Tang China	12	306 1.2×	77 1.4×	54 1.2×	52 1.2×	57 1.4×	48	352
Huang Tan China	5	322 1.3×	47 0.9×	18 0.4×	87 2.1×	53 1.3×	11	342
Heather J. Gladfelter United States	7	319 1.3×	69 1.3×	16 0.4×	115 2.7×	39 0.9×	12	343
Cherie Gambley Australia	14	427 1.7×	69 1.3×	52 1.2×	109 2.6×	113 2.7×	42	498
M. D. Alegbejo Nigeria	13	532 2.1×	75 1.4×	31 0.7×	46 1.1×	128 3.0×	61	561
D. Hanold Australia	9	218 0.9×	59 1.1×	15 0.3×	78 1.9×	28 0.7×	19	268
Weiguo Miao China	12	351 1.4×	39 0.7×	57 1.3×	110 2.6×	42 1.0×	31	403
L. Cardin France	10	287 1.2×	81 1.5×	47 1.0×	85 2.0×	32 0.8×	33	317

Countries citing papers authored by Matevž Rupar

Since Specialization

Citations

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

Fields of papers citing papers by Matevž Rupar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matevž Rupar

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

All Works

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20 of 20 papers shown

Rupar, Matevž, et al.. (2025). Impact of Phage Therapy on Pseudomonas syringae pv. syringae and Plant Microbiome Dynamics Through Coevolution and Field Experiments. Environmental Microbiology. 27(3). e70076–e70076. 1 indexed citations

Rupar, Matevž, et al.. (2024). Investigating the inoculum dynamics of Cladosporium on the surface of raspberry fruits and in the air. Environmental Microbiology. 26(3). e16613–e16613. 5 indexed citations

Xu, Xiangming, et al.. (2024). Amplicon-based metagenomics to study the effect of coir age and wood biochar on microbiome in relation to strawberry yield. Frontiers in Agronomy. 6.

Rupar, Matevž, et al.. (2023). From Endophyte Community Analysis to Field Application: Control of Apple Canker (Neonectria ditissima) with Epicoccum nigrum B14-1. Agriculture. 13(4). 809–809. 8 indexed citations

Rupar, Matevž, et al.. (2023). Quantitative trait loci associated with apple endophytes during pathogen infection. Frontiers in Plant Science. 14. 1054914–1054914. 5 indexed citations

Rupar, Matevž, et al.. (2023). Relative contribution of season, site, scion and rootstock genotype, and susceptibility to European canker to the variability in bacterial and fungal communities in apple leaf scar tissues. Annals of Applied Biology. 184(1). 136–151. 1 indexed citations

Wang, Duoduo, K. Kanyuka, & Matevž Rupar. (2022). Pectin: a critical component in cell-wall-mediated immunity. Trends in Plant Science. 28(1). 10–13. 26 indexed citations

Rupar, Matevž, et al.. (2022). The Influence of Host Genotypes on the Endophytes in the Leaf Scar Tissues of Apple Trees and Correlation of the Endophytes with Apple Canker (Neonectria ditissima) Development. Phytobiomes Journal. 6(2). 127–138. 11 indexed citations

Xu, Xiangming, et al.. (2022). Development of European apple canker on different cultivars in relation to planting time at three sites in the UK. 1. 2 indexed citations

10.

Scott, George A., et al.. (2019). Hormetic UV‐C seed treatments for the control of tomato diseases. Plant Pathology. 68(4). 700–707. 14 indexed citations

11.

Gutiérrez‐Aguirre, Ion, Denis Kutnjak, Nejc Rački, Matevž Rupar, & Maja Ravnikar. (2018). Monolith Chromatography as Sample Preparation Step in Virome Studies of Water Samples. Methods in molecular biology. 1746. 63–75. 4 indexed citations

12.

Scott, George A., Matthew Dickinson, G. Shama, & Matevž Rupar. (2017). A comparison of the molecular mechanisms underpinning high-intensity, pulsed polychromatic light and low-intensity UV-C hormesis in tomato fruit. Postharvest Biology and Technology. 137. 46–55. 18 indexed citations

13.

Scott, George A., et al.. (2016). A comparison of low intensity UV-C and high intensity pulsed polychromatic sources as elicitors of hormesis in tomato fruit. Postharvest Biology and Technology. 125. 52–58. 19 indexed citations

14.

Rupar, Matevž, Michel Tribodet, Ion Gutiérrez‐Aguirre, et al.. (2015). Fluorescently Tagged Potato virus Y: A Versatile Tool for Functional Analysis of Plant-Virus Interactions. Molecular Plant-Microbe Interactions. 28(7). 739–750. 20 indexed citations

15.

Rupar, Matevž, Polona Kogovšek, Marus̆a Pompe‐Novak, et al.. (2013). Assessment of SNaPshot and single step RT-qPCR methods for discriminating Potato virus Y (PVY) subgroups. Journal of Virological Methods. 189(1). 93–100. 4 indexed citations

16.

Gutiérrez‐Aguirre, Ion, Vesna Hodnik, Laurent Glais, et al.. (2013). Surface plasmon resonance for monitoring the interaction of Potato virus Y with monoclonal antibodies. Analytical Biochemistry. 447. 74–81. 14 indexed citations

17.

Mehle, Nataša, Petra Nikolić, Matevž Rupar, et al.. (2012). Automated DNA Extraction for Large Numbers of Plant Samples. Methods in molecular biology. 938. 139–145. 18 indexed citations

18.

Rupar, Matevž, Maja Ravnikar, Magda Tušek‐Žnidarič, et al.. (2012). Fast purification of the filamentous Potato virus Y using monolithic chromatographic supports. Journal of Chromatography A. 1272. 33–40. 28 indexed citations

19.

Cuevas, José M., et al.. (2012). Molecular evolution and phylogeography of potato virus Y based on the CP gene. Journal of General Virology. 93(11). 2496–2501. 24 indexed citations

20.

Mehle, Nataša, G. Seljak, Matevž Rupar, Maja Ravnikar, & Marina Dermastia. (2010). The first detection of a phytoplasma from the 16SrV (Elm yellows) group in the mosaic leafhopper Orientus ishidae. New Disease Reports. 22(1). 11–11. 23 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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