Beáta Tóth
- Immunology top 10%
- Immunodeficiency and Autoimmune Disorders 12
- T-cell and B-cell Immunology 4
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- Drug Transport and Resistance Mechanisms 10
- Pharmacology top 10%
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- Blood disorders and treatments 5
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- Pharmacological Effects and Toxicity Studies 6
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- Lysosomal Storage Disorders Research 4
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- Carbohydrate Chemistry and Synthesis 3
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- Neuroendocrine Tumor Research Advances 2
- Co-authors
- László MaródiMelinda ErdösAnne PuelSophie CypowyjJean‐Laurent CasanovaJashvant D. UnadkatЛ.И. ЧернышоваMohammed Ullah
- Cited by
- ImmunologyOncologyPharmacology
- Journals
- Molecular Immunology (2 papers)Toxicology in Vitro (2 papers)European Journal Of Haematology (2 papers)
- Partner nations
- HungaryUnited StatesFrance
In The Last Decade
Beáta Tóth
32 papers receiving 529 citations
Peers
Comparison fields: 5 of 68
- Immunology 285
- Oncology 142
- Pharmacology 44
- Infectious Diseases 91
- Genetics 132
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 9 | |
| 2 | 2018 | 16 | |
| 3 | 2018 | 10 | |
| 4 | 2017 | 5 | |
| 5 | 2017 | 40 | |
| 6 | 2016 | 11 | |
| 7 | 2015 | 14 | |
| 8 | 2015 | 11 | |
| 9 | 2014 | 31 | |
| 10 | 2014 | 2 | |
| 11 | 2012 | 12 | |
| 12 | 2012 | 47 | |
| 13 | 2011 | 12 | |
| 14 | 2010 | 1 | |
| 15 | 2010 | 15 | |
| 16 | 2010 | 22 | |
| 17 | 2009 | 31 | |
| 18 | 2008 | 53 | |
| 19 | 2008 | 4 | |
| 20 | 2008 | 18 |
About Beáta Tóth
Beáta Tóth is a scholar working on Immunology, Immunology and Allergy, Oncology, Pediatrics, Perinatology and Child Health and Physiology, having authored 33 papers that have together received 535 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (12 papers), Drug Transport and Resistance Mechanisms (10 papers), Pharmacological Effects and Toxicity Studies (6 papers), Blood disorders and treatments (5 papers), Lysosomal Storage Disorders Research (4 papers), T-cell and B-cell Immunology (4 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Immunology (285 citations), Oncology (142 citations), Pharmacology (44 citations), Infectious Diseases (91 citations) and Genetics (132 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 Molecular Immunology, Toxicology in Vitro, European Journal Of Haematology, Journal of Clinical Immunology and Drug Metabolism and Disposition.
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.