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
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Co-authors
- Attila Gácser (25 shared papers)Csaba Vágvölgyi (15 shared papers)Joshua D. Nosanchuk (11 shared papers)Dhirendra Kumar Singh (2 shared papers)Toni Gabaldón (7 shared papers)Héctor M. Mora‐Montes (3 shared papers)Jozef Nosek (3 shared papers)Geraldine Butler (1 shared paper)
- Journals
- mSphere (4 papers)Virulence (4 papers)Frontiers in Microbiology (3 papers)Journal of Fungi (3 papers)PLoS ONE (2 papers)
- Partner nations
- HungaryUnited StatesSpain
In The Last Decade
Renáta Tóth
31 papers receiving 816 citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 520
- Epidemiology 357
- Microbiology 39
- Periodontics 25
- Pharmacology 58
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 210 | |
| 2 | 2020 | 85 | |
| 3 | 2016 | 61 | |
| 4 | 2013 | 59 | |
| 5 | 2018 | 39 | |
| 6 | 2019 | 36 | |
| 7 | 2017 | 32 | |
| 8 | 2020 | 30 | |
| 9 | 2016 | 26 | |
| 10 | 2018 | 22 | |
| 11 | 2020 | 21 | |
| 12 | 2015 | 18 | |
| 13 | 2017 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2011 | 15 | |
| 16 | 2018 | 15 | |
| 17 | 2015 | 15 | |
| 18 | 2014 | 13 | |
| 19 | 2002 | 12 | |
| 20 | 2021 | 11 |
About Renáta Tóth
Renáta Tóth is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Oncology, having authored 32 papers that have together received 821 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), Fungal and yeast genetics research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Animal Virus Infections Studies (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Infectious Diseases (520 citations), Epidemiology (357 citations), Microbiology (39 citations), Periodontics (25 citations) and Pharmacology (58 citations). Renáta Tóth has collaborated with scholars based in Hungary, United States and Spain. Frequent co-authors include Attila Gácser, Csaba Vágvölgyi, Joshua D. Nosanchuk, Dhirendra Kumar Singh, Toni Gabaldón, Héctor M. Mora‐Montes, Jozef Nosek, Geraldine Butler, Siobhán A. Turner and Joseph M. Bliss. Their work appears in journals such as mSphere, Virulence, Frontiers in Microbiology, Journal of Fungi and PLoS ONE.
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.