László Irinyi

4.7k total citations
37 papers, 609 citations indexed

About

László Irinyi is a scholar working on Cell Biology, Plant Science and Molecular Biology. According to data from OpenAlex, László Irinyi has authored 37 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cell Biology, 18 papers in Plant Science and 15 papers in Molecular Biology. Recurrent topics in László Irinyi's work include Plant Pathogens and Fungal Diseases (23 papers), Mycorrhizal Fungi and Plant Interactions (10 papers) and Fungal Infections and Studies (10 papers). László Irinyi is often cited by papers focused on Plant Pathogens and Fungal Diseases (23 papers), Mycorrhizal Fungi and Plant Interactions (10 papers) and Fungal Infections and Studies (10 papers). László Irinyi collaborates with scholars based in Australia, Hungary and Netherlands. László Irinyi's co-authors include Wieland Meyer, G. J. Kövics, Michaela Lackner, Erzsébet Sándor, Sybren de Hoog, Wen Chen, Tania C. Sorrell, Mahendra Rai, Matthias Sipiczki and Zsuzsa Antunovics and has published in prestigious journals such as Journal of Clinical Microbiology, Frontiers in Microbiology and Journal of Applied Microbiology.

In The Last Decade

László Irinyi

32 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
László Irinyi Australia 16 265 258 167 163 148 37 609
Renata Rodrigues Gomes Brazil 15 724 2.7× 557 2.2× 256 1.5× 358 2.2× 263 1.8× 41 1.2k
Balázs Brankovics Netherlands 17 624 2.4× 675 2.6× 219 1.3× 148 0.9× 128 0.9× 28 949
Wai-Yan Yee Malaysia 12 133 0.5× 121 0.5× 69 0.4× 127 0.8× 75 0.5× 23 368
Nicole D. Mammarella United States 6 86 0.3× 1.0k 4.0× 428 2.6× 90 0.6× 223 1.5× 6 1.5k
Jean H. Juba United States 14 645 2.4× 690 2.7× 125 0.7× 75 0.5× 164 1.1× 22 930
Katrin Kuhls Germany 14 328 1.2× 462 1.8× 267 1.6× 302 1.9× 105 0.7× 16 990
J. Worapong Thailand 12 217 0.8× 186 0.7× 62 0.4× 82 0.5× 117 0.8× 24 602
Lucas Pereira de Alencar Brazil 16 85 0.3× 113 0.4× 150 0.9× 347 2.1× 387 2.6× 36 638
Robert C. Layton United States 14 143 0.5× 311 1.2× 128 0.8× 159 1.0× 76 0.5× 23 671

Countries citing papers authored by László Irinyi

Since Specialization
Citations

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

Fields of papers citing papers by László Irinyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Irinyi

This figure shows the co-authorship network connecting the top 25 collaborators of László Irinyi. A scholar is included among the top collaborators of László Irinyi 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 László Irinyi. László Irinyi 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.
Meyer, Wieland, László Irinyi, Navaporn Worasilchai, et al.. (2025). Optimizing fungal DNA extraction and purification for Oxford Nanopore untargeted shotgun metagenomic sequencing from simulated hemoculture specimens. mSystems. 10(6). e0116624–e0116624. 3 indexed citations
2.
Worasilchai, Navaporn, László Irinyi, Piroon Jenjaroenpun, et al.. (2023). Targeted sequencing analysis pipeline for species identification of human pathogenic fungi using long-read nanopore sequencing. IMA Fungus. 14(1). 18–18. 11 indexed citations
3.
Teixeira, Marcus de Melo, Wieland Meyer, László Irinyi, et al.. (2023). Multi-locus sequencing typing reveals geographically related intraspecies variability of Sporothrix brasiliensis. Fungal Genetics and Biology. 170. 103845–103845. 5 indexed citations
4.
Irinyi, László, et al.. (2022). In silico environmental sampling of emerging fungal pathogens via big data analysis. Fungal ecology. 62. 101212–101212. 6 indexed citations
5.
Irinyi, László, et al.. (2022). Long-Reads-Based Metagenomics in Clinical Diagnosis With a Special Focus on Fungal Infections. Frontiers in Microbiology. 12. 708550–708550. 17 indexed citations
6.
Almeida‐Silva, Fernando, Priscila Marques de Macedo, Marcus de Melo Teixeira, et al.. (2022). Environmental Isolation of Sporothrix brasiliensis in an Area With Recurrent Feline Sporotrichosis Cases. Frontiers in Cellular and Infection Microbiology. 12. 894297–894297. 16 indexed citations
7.
Goterris, Lidia, László Irinyi, Alex Kan, et al.. (2020). Consensus Multilocus Sequence Typing Scheme for Pneumocystis jirovecii. Journal of Fungi. 6(4). 259–259. 8 indexed citations
8.
Irinyi, László, et al.. (2019). The mycobiome of Australian tree hollows in relation to the Cryptococcus gattii and C. neoformans species complexes. Ecology and Evolution. 9(17). 9684–9700. 11 indexed citations
9.
Irinyi, László, et al.. (2019). Dual DNA Barcoding for the Molecular Identification of the Agents of Invasive Fungal Infections. Frontiers in Microbiology. 10. 1647–1647. 45 indexed citations
10.
Higgins, Damien P., László Irinyi, Valentina S. A. Mella, et al.. (2019). Genetic differences in Chlamydia pecorum between neighbouring sub-populations of koalas (Phascolarctos cinereus). Veterinary Microbiology. 231. 264–270. 20 indexed citations
11.
12.
Irinyi, László, Michaela Lackner, Sybren de Hoog, & Wieland Meyer. (2015). DNA barcoding of fungi causing infections in humans and animals. Fungal Biology. 120(2). 125–136. 71 indexed citations
13.
Kövics, G. J., Erzsébet Sándor, Mahendra Rai, & László Irinyi. (2013). Phoma-like fungi on soybeans. Critical Reviews in Microbiology. 40(1). 49–62. 10 indexed citations
14.
Rai, Mahendra, et al.. (2013). Advances in Taxonomy of Genus Phoma: Polyphyletic Nature and Role of Phenotypic Traits and Molecular Systematics. Indian Journal of Microbiology. 54(2). 123–128. 25 indexed citations
15.
Fekete, Erzsébet, László Irinyi, Levente Karaffa, et al.. (2012). Genetic diversity of a Botrytis cinerea cryptic species complex in Hungary. Microbiological Research. 167(5). 283–291. 46 indexed citations
16.
Rai, Mahendra, et al.. (2009). Phoma Saccardo : Distribution, secondary metabolite production and biotechnological applications. Critical Reviews in Microbiology. 35(3). 182–196. 36 indexed citations
17.
Irinyi, László, G. J. Kövics, & Erzsébet Sándor. (2008). Taxonomical re-evaluation of Phoma-like soybean pathogenic fungi. Mycological Research. 113(2). 249–260. 24 indexed citations
18.
Irinyi, László, et al.. (2007). Phoma fajok filogenetikai vizsgálata. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 1 indexed citations
19.
Irinyi, László, et al.. (2006). A study of the utility of translation elongation factor 1 as a phylogenetic marker for Phoma genus. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 1 indexed citations
20.
Antunovics, Zsuzsa, László Irinyi, & Matthias Sipiczki. (2005). Combined application of methods to taxonomic identification of Saccharomyces strains in fermenting botrytized grape must. Journal of Applied Microbiology. 98(4). 971–979. 35 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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