László Majoros

1.9k total citations
97 papers, 1.4k citations indexed

About

László Majoros is a scholar working on Infectious Diseases, Epidemiology and Pharmacology. According to data from OpenAlex, László Majoros has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Infectious Diseases, 57 papers in Epidemiology and 19 papers in Pharmacology. Recurrent topics in László Majoros's work include Antifungal resistance and susceptibility (75 papers), Fungal Infections and Studies (51 papers) and Fungal Biology and Applications (12 papers). László Majoros is often cited by papers focused on Antifungal resistance and susceptibility (75 papers), Fungal Infections and Studies (51 papers) and Fungal Biology and Applications (12 papers). László Majoros collaborates with scholars based in Hungary, United Kingdom and United States. László Majoros's co-authors include Renátó Kovács, Gábor Kardos, Zoltán Tóth, Fruzsina Nagy, Andrew M. Borman, Lajos Forgács, István Pócsi, Rudolf Gesztelyi, Tamás Emri and Adrien Székely and has published in prestigious journals such as Applied and Environmental Microbiology, Clinical Infectious Diseases and International Journal of Molecular Sciences.

In The Last Decade

László Majoros

95 papers receiving 1.4k 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 Majoros Hungary 22 988 667 371 216 159 97 1.4k
Andrew T. Nishimoto United States 15 878 0.9× 623 0.9× 256 0.7× 142 0.7× 146 0.9× 20 1.4k
David S. Perlin United States 21 1.0k 1.1× 711 1.1× 341 0.9× 183 0.8× 83 0.5× 53 1.5k
Taissa Vila United States 22 831 0.8× 498 0.7× 382 1.0× 103 0.5× 219 1.4× 38 1.6k
Jeffrey M. Rybak United States 21 1.4k 1.4× 929 1.4× 348 0.9× 405 1.9× 186 1.2× 38 2.0k
Derek P. Thomas United States 19 1.1k 1.1× 639 1.0× 651 1.8× 90 0.4× 196 1.2× 27 1.5k
Samuel A. Lee United States 25 1.3k 1.3× 918 1.4× 738 2.0× 148 0.7× 185 1.2× 50 2.2k
Bansidhar Tarai India 18 1.5k 1.5× 1.1k 1.6× 196 0.5× 116 0.5× 114 0.7× 62 1.9k
Kizee A. Etienne United States 14 1.5k 1.5× 1.2k 1.8× 224 0.6× 145 0.7× 107 0.7× 21 1.8k
Ryan Kean United Kingdom 23 1.3k 1.3× 776 1.2× 493 1.3× 66 0.3× 207 1.3× 42 1.8k
Rindidzani E. Magobo South Africa 11 1.3k 1.4× 1.1k 1.7× 171 0.5× 89 0.4× 106 0.7× 22 1.6k

Countries citing papers authored by László Majoros

Since Specialization
Citations

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

Fields of papers citing papers by László Majoros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Majoros

This figure shows the co-authorship network connecting the top 25 collaborators of László Majoros. A scholar is included among the top collaborators of László Majoros 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 Majoros. László Majoros 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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Kovács, Renátó, et al.. (2024). Bacteraemia Associated with Bilophila wadsworthia: A Rare Case Presentation from Hungary. Pathogens. 13(9). 749–749. 1 indexed citations
3.
Kaszab, Eszter, Levente Laczkó, László Makrai, et al.. (2024). Genomic epidemiology of antifungal resistance in human and avian isolates of Candida albicans: a pilot study from the One Health perspective. Frontiers in Veterinary Science. 11. 1345877–1345877. 1 indexed citations
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Jakab, Ágnes, Zoltán Tóth, Lajos Forgács, et al.. (2023). Total transcriptome analysis of Candida auris planktonic cells exposed to tyrosol. AMB Express. 13(1). 81–81. 2 indexed citations
6.
Jakab, Ágnes, Fruzsina Nagy, Zoltán Tóth, et al.. (2021). Transcriptional Profiling of the Candida auris Response to Exogenous Farnesol Exposure. mSphere. 6(5). e0071021–e0071021. 19 indexed citations
7.
Nagy, Fruzsina, Zoltán Tóth, Lajos Forgács, et al.. (2021). In vitro and in vivo interaction of caspofungin with isavuconazole against Candida auris planktonic cells and biofilms. Medical Mycology. 59(10). 1015–1023. 18 indexed citations
8.
Makrai, László, et al.. (2021). Molecular Diversity and Genetic Relatedness of Candida albicans Isolates from Birds in Hungary. Mycopathologia. 186(2). 237–244. 8 indexed citations
9.
Váradi, Judit, Anca Hermenean, Rudolf Gesztelyi, et al.. (2019). Pharmacokinetic Properties of Fluorescently Labelled Hydroxypropyl-Beta-Cyclodextrin. Biomolecules. 9(10). 509–509. 16 indexed citations
10.
Tóth, Zoltán, David S. Perlin, Rudolf Gesztelyi, et al.. (2019). <p>Efficacy of humanized single large doses of caspofungin on the lethality and fungal tissue burden in a deeply neutropenic murine model against <em>Candida albicans</em> and <em>Candida dubliniensis</em></p>. Infection and Drug Resistance. Volume 12. 1805–1814. 5 indexed citations
11.
Pfliegler, Walter P., Renátó Kovács, Ágnes Jakab, et al.. (2017). Candida albicans isolates from a single hospital show low phenotypical specialization. Journal of Basic Microbiology. 57(11). 910–921. 1 indexed citations
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Kovács, Renátó, et al.. (2016). Killing Rates of Caspofungin in 50 Percent Serum Correlate with Caspofungin Efficacy Against Candida albicans in a Neutropenic Murine Model. Current Drug Delivery. 13(2). 255–264. 5 indexed citations
14.
Molnár, Dávid, et al.. (2013). A potential role of aminoglycoside resistance in endemic occurrence of Pseudomonas aeruginosa strains in lower airways of mechanically ventilated patients. Diagnostic Microbiology and Infectious Disease. 78(1). 79–84. 7 indexed citations
15.
Kovács, Renátó, et al.. (2012). Comparison of In Vitro and Vivo Efficacy of Caspofungin Against Candida parapsilosis, C. orthopsilosis, C. metapsilosis and C. albicans. Mycopathologia. 174(4). 311–318. 20 indexed citations
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Kovács, L., Ilona Farkas, László Majoros, et al.. (2010). The polymorphism of protein phosphatase Z1 gene in Candida albicans. Journal of Basic Microbiology. 50(S1). S74–82. 13 indexed citations
18.
Fekete, Andrea, Tamás Emri, Ágnes Gyetvai, et al.. (2008). Physiological and morphological characterization of tert ‐butylhydroperoxide tolerant Candida albicans mutants. Journal of Basic Microbiology. 48(6). 480–487. 9 indexed citations
19.
Kardos, Gábor, Paul M. McNicholas, Enikő Balogh, et al.. (2007). Correlation of posaconazole minimum fungicidal concentration and time kill test against nine Candida species. Journal of Antimicrobial Chemotherapy. 60(5). 1004–1009. 29 indexed citations
20.
Majoros, László, Gábor Kardos, B. Szabó, & Matthias Sipiczki. (2005). Caspofungin Susceptibility Testing of Candida inconspicua : Correlation of Different Methods with the Minimal Fungicidal Concentration. Antimicrobial Agents and Chemotherapy. 49(8). 3486–3488. 24 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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