László Majoros
Impact in
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility
Papers in
-
- Antifungal resistance and susceptibility 76
- Epidemiology 48
- Fungal Infections and Studies 42
- Co-authors
- Renátó Kovács (61 shared papers)Gábor Kardos (48 shared papers)Zoltán Tóth (39 shared papers)Fruzsina Nagy (20 shared papers)Andrew M. Borman (17 shared papers)Lajos Forgács (16 shared papers)István Pócsi (16 shared papers)Tamás Emri (5 shared papers)
- Journals
- Journal of Fungi (7 papers)Mycopathologia (6 papers)Medical Mycology (5 papers)Journal of Basic Microbiology (4 papers)Mycoses (4 papers)
- Partner nations
- HungaryUnited KingdomBelgium
In The Last Decade
László Majoros
98 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Infectious Diseases 984
- Applied Microbiology and Biotechnology 41
- Microbiology 132
- Epidemiology 581
- Molecular Medicine 75
Countries citing papers authored by László Majoros
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
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-authors
The 25 scholars most cited alongside László Majoros, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 87 | |
| 2 | 2020 | 75 | |
| 3 | 2020 | 64 | |
| 4 | 2019 | 62 | |
| 5 | 2020 | 53 | |
| 6 | 2010 | 49 | |
| 7 | 2016 | 48 | |
| 8 | 2020 | 48 | |
| 9 | 2006 | 41 | |
| 10 | 2019 | 38 | |
| 11 | 2019 | 37 | |
| 12 | 2012 | 34 | |
| 13 | 2021 | 32 | |
| 14 | 2007 | 32 | |
| 15 | 2018 | 31 | |
| 16 | 2016 | 31 | |
| 17 | 2004 | 28 | |
| 18 | 2021 | 26 | |
| 19 | 2003 | 26 | |
| 20 | 2005 | 26 |
About László Majoros
László Majoros is a scholar working on Infectious Diseases, Epidemiology, Pharmacology, Plant Science and Molecular Biology, having authored 102 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (76 papers), Fungal Infections and Studies (42 papers), Nematode management and characterization studies (11 papers), Fungal Biology and Applications (10 papers), Antibiotic Resistance in Bacteria (8 papers), Probiotics and Fermented Foods (8 papers), Helminth infection and control (7 papers) and Bacterial biofilms and quorum sensing (7 papers). The work is most often cited by research in Infectious Diseases (984 citations), Applied Microbiology and Biotechnology (41 citations), Microbiology (132 citations), Epidemiology (581 citations) and Molecular Medicine (75 citations). László Majoros has collaborated with scholars based in Hungary, United Kingdom and Belgium. Frequent co-authors include Renátó Kovács, Gábor Kardos, Zoltán Tóth, Fruzsina Nagy, Andrew M. Borman, Lajos Forgács, István Pócsi, Tamás Emri, Rudolf Gesztelyi and Adrien Székely. Their work appears in journals such as Journal of Fungi, Mycopathologia, Medical Mycology, Journal of Basic Microbiology and Mycoses.
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.