Beáta Tóth
Impact in
- Immunology top 10%
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- Drug Transport and Resistance Mechanisms
Papers in
- Immunology 13
- Immunodeficiency and Autoimmune Disorders 12
- T-cell and B-cell Immunology 3
- Oncology 11
- Drug Transport and Resistance Mechanisms 9
- Co-authors
- László Maródi (21 shared papers)Melinda Erdös (16 shared papers)Anne Puel (3 shared papers)Sophie Cypowyj (3 shared papers)Jean‐Laurent Casanova (3 shared papers)Jashvant D. Unadkat (4 shared papers)Л.И. Чернышова (3 shared papers)Mohammed Ullah (3 shared papers)
- Journals
- European Journal Of Haematology (2 papers)Molecular Immunology (2 papers)Journal of Clinical Immunology (2 papers)Drug Metabolism and Disposition (2 papers)Toxicology in Vitro (2 papers)
- Partner nations
- HungaryUnited StatesFrance
In The Last Decade
Beáta Tóth
32 papers receiving 534 citations
Peers
Comparison fields: 5 of 68
- Immunology 269
- Oncology 137
- Pharmacology 43
- Infectious Diseases 81
- Genetics 109
Countries citing papers authored by Beáta Tóth
This map shows the geographic impact of Beáta 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 Beáta Tóth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beáta Tóth more than expected).
Fields of papers citing papers by Beáta Tóth
This network shows the impact of papers produced by Beáta 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 Beáta Tóth. The network helps show where Beáta Tóth may publish in the future.
Co-authors
The 25 scholars most cited alongside Beáta 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 | 2013 | 67 | |
| 2 | 2008 | 54 | |
| 3 | 2012 | 47 | |
| 4 | 2012 | 45 | |
| 5 | 2017 | 40 | |
| 6 | 2014 | 31 | |
| 7 | 2009 | 31 | |
| 8 | 2010 | 22 | |
| 9 | 2017 | 19 | |
| 10 | 2008 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2018 | 16 | |
| 13 | 2010 | 15 | |
| 14 | 2015 | 14 | |
| 15 | 2016 | 12 | |
| 16 | 2011 | 12 | |
| 17 | 2012 | 12 | |
| 18 | 2015 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2020 | 9 |
About Beáta Tóth
Beáta Tóth is a scholar working on Immunology, Oncology, Pediatrics, Perinatology and Child Health, Epidemiology and Genetics, having authored 33 papers that have together received 540 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (12 papers), Drug Transport and Resistance Mechanisms (9 papers), Pharmacological Effects and Toxicity Studies (5 papers), Blood disorders and treatments (5 papers), T-cell and B-cell Immunology (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Lysosomal Storage Disorders Research (3 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Immunology (269 citations), Oncology (137 citations), Pharmacology (43 citations), Infectious Diseases (81 citations) and Genetics (109 citations). Beáta Tóth has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include László Maródi, Melinda Erdös, Anne Puel, Sophie Cypowyj, Jean‐Laurent Casanova, Jashvant D. Unadkat, Л.И. Чернышова, Mohammed Ullah, Kazuya Ishida and Péter Krajcsi. Their work appears in journals such as European Journal Of Haematology, Molecular Immunology, Journal of Clinical Immunology, Drug Metabolism and Disposition and Toxicology in Vitro.
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.