László Majoros
Impact in
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Antifungal resistance and susceptibility 85
-
- Antibiotic Resistance in Bacteria 8
- Co-authors
- Renátó Kovács (64 shared papers)Gábor Kardos (51 shared papers)Zoltán Tóth (41 shared papers)Fruzsina Nagy (20 shared papers)Andrew M. Borman (18 shared papers)Lajos Forgács (18 shared papers)István Pócsi (17 shared papers)Tamás Emri (5 shared papers)
- Journals
- Journal of Fungi (7 papers)Mycopathologia (7 papers)Journal of Antimicrobial Chemotherapy (6 papers)Medical Mycology (5 papers)Mycoses (4 papers)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
László Majoros
102 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 65
- Infectious Diseases 1.1k
- Microbiology 65
- Molecular Medicine 67
- Applied Microbiology and Biotechnology 17
- Pharmacology 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 89 | |
| 2 | 2020 | 85 | |
| 3 | 2019 | 70 | |
| 4 | 2020 | 70 | |
| 5 | 2020 | 57 | |
| 6 | 2020 | 50 | |
| 7 | 2016 | 48 | |
| 8 | 2010 | 47 | |
| 9 | 2006 | 41 | |
| 10 | 2019 | 36 | |
| 11 | 2019 | 36 | |
| 12 | 2021 | 35 | |
| 13 | 2012 | 34 | |
| 14 | 2007 | 33 | |
| 15 | 2018 | 33 | |
| 16 | 2016 | 32 | |
| 17 | 2003 | 29 | |
| 18 | 2004 | 29 | |
| 19 | 2019 | 28 | |
| 20 | 2021 | 27 |
About László Majoros
László Majoros is a scholar working on Infectious Diseases, Molecular Medicine, Molecular Biology, Clinical Biochemistry and Epidemiology, having authored 107 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (85 papers), Fungal and yeast genetics research (8 papers), Antibiotic Resistance in Bacteria (8 papers), Yeasts and Rust Fungi Studies (7 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Fungal Infections and Studies (3 papers) and Antibiotic Use and Resistance (2 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Microbiology (65 citations), Molecular Medicine (67 citations), Applied Microbiology and Biotechnology (17 citations) and Pharmacology (75 citations). László Majoros has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Renátó Kovács, Gábor Kardos, Zoltán Tóth, Fruzsina Nagy, Andrew M. Borman, Lajos Forgács, István Pócsi, Tamás Emri, Rudolf Gesztelyi and Ágnes Jakab. Their work appears in journals such as Journal of Fungi, Mycopathologia, Journal of Antimicrobial Chemotherapy, Medical Mycology 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.