Renáta Tóth
Impact in
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility
- Epidemiology top 10%
- Fungal Infections and Studies
- Nail Diseases and Treatments
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
-
- Antifungal resistance and susceptibility 21
- Epidemiology 15
- Fungal Infections and Studies 13
- Co-authors
- Attila Gácser (26 shared papers)Csaba Vágvölgyi (15 shared papers)Joshua Daniel Nosanchuk (11 shared papers)Toni Gabaldón (7 shared papers)Dhirendra Kumar Singh (2 shared papers)Héctor M. Mora-Montes (4 shared papers)Jozef Nosek (3 shared papers)Siobhán A. Turner (1 shared paper)
- Journals
- mSphere (4 papers)Virulence (4 papers)Journal of Fungi (3 papers)Frontiers in Microbiology (3 papers)Scientific Reports (2 papers)
- Partner nations
- HungaryUnited StatesSpain
In The Last Decade
Renáta Tóth
33 papers receiving 882 citations
Peers
Comparison fields: 5 of 95
- Infectious Diseases 548
- Epidemiology 378
- Microbiology 42
- Periodontics 27
- Pharmacology 65
Countries citing papers authored by Renáta Tóth
This map shows the geographic impact of Renáta Tóth'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 Renáta Tóth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renáta Tóth more than expected).
Fields of papers citing papers by Renáta Tóth
This network shows the impact of papers produced by Renáta Tóth. 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 Renáta Tóth. The network helps show where Renáta Tóth may publish in the future.
Co-authors
The 25 scholars most cited alongside Renáta Tóth, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 222 | |
| 2 | 2020 | 90 | |
| 3 | 2016 | 63 | |
| 4 | 2013 | 62 | |
| 5 | 2017 | 42 | |
| 6 | 2018 | 38 | |
| 7 | 2019 | 38 | |
| 8 | 2020 | 31 | |
| 9 | 2016 | 28 | |
| 10 | 2018 | 24 | |
| 11 | 2020 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2019 | 18 | |
| 14 | 2015 | 16 | |
| 15 | 2017 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2011 | 15 | |
| 18 | 2014 | 13 | |
| 19 | 2002 | 12 | |
| 20 | 2021 | 11 |
About Renáta Tóth
Renáta Tóth is a scholar working on Infectious Diseases, Epidemiology, Immunology, Cell Biology and Animal Science and Zoology, having authored 33 papers that have together received 887 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (21 papers), Fungal Infections and Studies (13 papers), Peptidase Inhibition and Analysis (4 papers), Virus-based gene therapy research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Animal Virus Infections Studies (3 papers), Fungal and yeast genetics research (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Infectious Diseases (548 citations), Epidemiology (378 citations), Microbiology (42 citations), Periodontics (27 citations) and Pharmacology (65 citations). Renáta Tóth has collaborated with scholars based in Hungary, United States and Spain. Frequent co-authors include Attila Gácser, Csaba Vágvölgyi, Joshua Daniel Nosanchuk, Toni Gabaldón, Dhirendra Kumar Singh, Héctor M. Mora-Montes, Jozef Nosek, Siobhán A. Turner, Geraldine Butler and Joseph M. Bliss. Their work appears in journals such as mSphere, Virulence, Journal of Fungi, Frontiers in Microbiology and Scientific Reports.
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.