Ákos Mesterházy

6.3k total citations · 2 hit papers
120 papers, 4.9k citations indexed

About

Ákos Mesterházy is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Ákos Mesterházy has authored 120 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Plant Science, 61 papers in Cell Biology and 9 papers in Molecular Biology. Recurrent topics in Ákos Mesterházy's work include Mycotoxins in Agriculture and Food (88 papers), Wheat and Barley Genetics and Pathology (61 papers) and Plant Pathogens and Fungal Diseases (61 papers). Ákos Mesterházy is often cited by papers focused on Mycotoxins in Agriculture and Food (88 papers), Wheat and Barley Genetics and Pathology (61 papers) and Plant Pathogens and Fungal Diseases (61 papers). Ákos Mesterházy collaborates with scholars based in Hungary, France and Netherlands. Ákos Mesterházy's co-authors include Tibor Bartók, Beáta Tóth, Marc Lemmens, Mónika Varga, József Popp, Judit Oláh, Szabolcs Lehoczki-Krsjak, János Varga, Hermann Buerstmayr and Á. Szécsi and has published in prestigious journals such as Journal of Chromatography A, Theoretical and Applied Genetics and Sustainability.

In The Last Decade

Ákos Mesterházy

116 papers receiving 4.6k citations

Hit Papers

Types and components of resistance to Fusarium head bligh... 1995 2026 2005 2015 1995 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ákos Mesterházy Hungary 35 4.7k 2.9k 396 291 255 120 4.9k
Fiona M. Doohan Ireland 39 4.3k 0.9× 2.2k 0.8× 852 2.2× 195 0.7× 537 2.1× 126 5.0k
J. Chełkowski Poland 34 3.9k 0.8× 1.9k 0.7× 415 1.0× 458 1.6× 552 2.2× 189 4.3k
Gary P. Munkvold United States 38 5.0k 1.1× 2.8k 1.0× 1.1k 2.7× 297 1.0× 424 1.7× 134 5.5k
Emerson M. Del Ponte Brazil 35 3.0k 0.6× 1.8k 0.6× 457 1.2× 215 0.7× 323 1.3× 156 3.3k
Alejandro Pérez-Garcı́a Spain 37 4.1k 0.9× 1.5k 0.5× 1.3k 3.2× 242 0.8× 605 2.4× 107 5.0k
John P. Rheeder South Africa 31 3.6k 0.8× 2.2k 0.8× 619 1.6× 416 1.4× 367 1.4× 65 3.9k
W. G. Dilantha Fernando Canada 31 2.7k 0.6× 1.2k 0.4× 734 1.9× 230 0.8× 168 0.7× 123 3.3k
Ruth Dill‐Macky United States 29 3.7k 0.8× 2.1k 0.7× 423 1.1× 82 0.3× 200 0.8× 108 3.8k
S. Chulze Argentina 42 4.9k 1.1× 2.7k 0.9× 566 1.4× 812 2.8× 545 2.1× 162 5.3k
Thérèse Ouellet Canada 32 3.0k 0.6× 1.1k 0.4× 1.6k 4.0× 112 0.4× 220 0.9× 75 3.6k

Countries citing papers authored by Ákos Mesterházy

Since Specialization
Citations

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

Fields of papers citing papers by Ákos Mesterházy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ákos Mesterházy

This figure shows the co-authorship network connecting the top 25 collaborators of Ákos Mesterházy. A scholar is included among the top collaborators of Ákos Mesterházy 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 Ákos Mesterházy. Ákos Mesterházy 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.
Ефремов, А. Н., et al.. (2023). Genus Hydrocharis (Hydrocharitaceae): Ecology of Communities and Their Tolerance to Abiotic Factors. Inland Water Biology. 16(3). 428–438. 1 indexed citations
2.
3.
Leslie, John F., Antonio Moretti, Ákos Mesterházy, et al.. (2021). Key Global Actions for Mycotoxin Management in Wheat and Other Small Grains. Toxins. 13(10). 725–725. 64 indexed citations
4.
Logrieco, Antonio, Paola Battilani, Marco Camardo Leggieri, et al.. (2020). Perspectives on Global Mycotoxin Issues and Management From the MycoKey Maize Working Group. Plant Disease. 105(3). 525–537. 68 indexed citations
6.
Szekeres, András, et al.. (2012). Rapid purification method for fumonisin B1 using centrifugal partition chromatography. Food Additives & Contaminants Part A. 30(1). 147–155. 9 indexed citations
7.
Lehoczki-Krsjak, Szabolcs, et al.. (2010). Prevention ofFusariummycotoxin contamination by breeding and fungicide application to wheat. Food Additives & Contaminants Part A. 27(5). 616–628. 30 indexed citations
9.
Bartók, Tibor, et al.. (2008). The role of breeding in reducing mycotoxin contamination in maize. Cereal Research Communications. 36. 175–177. 4 indexed citations
10.
Lemmens, Marc, Franz Berthiller, Chiara Dall’Asta, et al.. (2005). The Ability to Detoxify the Mycotoxin Deoxynivalenol Colocalizes With a Major Quantitative Trait Locus for Fusarium Head Blight Resistance in Wheat. Molecular Plant-Microbe Interactions. 18(12). 1318–1324. 357 indexed citations
11.
Mesterházy, Ákos, et al.. (2002). Identification of molecular markers for an efficient leaf rust resistance gene (Lr29) in wheat. Acta Biologica Szegediensis. 46. 133–134. 13 indexed citations
12.
Rigó, Krisztina, János Varga, Beáta Tóth, et al.. (2002). Evolutionary relationships within Aspergillus section Flavi based on sequences of the intergenic transcribed spacer regions and the 5.8S rRNA gene.. The Journal of General and Applied Microbiology. 48(1). 9–16. 42 indexed citations
13.
Petri, I, et al.. (2002). The immunosuppressive effect of Fusarium mycotoxin as a function of HLA antigens. Acta Microbiologica et Immunologica Hungarica. 49(1). 99–104. 1 indexed citations
14.
Gyulai, Gábor, et al.. (2000). Identification of Leaf Rust Resistance Genes in Common Wheat by Molecular Markers. Acta Phytopathologica et Entomologica Hungarica. 35(1). 31–36. 5 indexed citations
15.
Mesterházy, Ákos, et al.. (2000). Leaf rust resistance of the wheat Lr near-isogenic lines in adult stage in Hungary, 1995-1999.. Acta Phytopathologica et Entomologica Hungarica. 35. 177–185. 3 indexed citations
16.
Szécsi, Á. & Ákos Mesterházy. (1998). A medium for selective isolation and identification of Fusarium spp. from cereal grains and maize kernels.. Acta Phytopathologica et Entomologica Hungarica. 33. 79–87. 4 indexed citations
17.
Eeuwijk, Fred A. van, Ákos Mesterházy, P. Ruckenbauer, et al.. (1995). Assessing non-specificity of resistance in wheat to head blight caused by inoculation with European strains of Fusarium culmorum, F. graminearum and F. nivale using a multiplicative model for interaction. Theoretical and Applied Genetics. 90(2). 221–228. 147 indexed citations
18.
Mesterházy, Ákos, Tibor Bartók, & F. Sági. (1994). New results in selecting scab resistant wheats and its impact on toxin contamination. Genetica Polonica. 2 indexed citations
19.
Mesterházy, Ákos & Tibor Bartók. (1993). Resistance and pathogenicity influencing toxin (DON) contamination of wheat varieties following Fusarium infection. 37(3). 9–15. 14 indexed citations
20.
Mesterházy, Ákos, et al.. (1977). Survey of Fusarium spp. diseases of maize in 1972-1975.. Növénytermelés. 26(5). 367–378. 7 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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