Beáta Tóth
Impact in
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders
Papers in
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- Single-cell and spatial transcriptomics 4
- DNA Repair Mechanisms 1
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Shalev Itzkovitz (9 shared papers)Eyal David (5 shared papers)Ido Amit (4 shared papers)Orit Matcovitch-Natan (2 shared papers)Assaf Weiner (1 shared paper)Hadas Keren‐Shaul (1 shared paper)Tyler K. Ulland (1 shared paper)Amit Spinrad (1 shared paper)
- Journals
- Nature (3 papers)Developmental Cell (1 paper)Cell Systems (1 paper)Cell (1 paper)Molecular Systems Biology (1 paper)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Beáta Tóth
10 papers receiving 5.4k citations
Beáta Tóth's Hit Papers
Peers
Comparison fields: 5 of 118
- Neurology 2.5k
- Biological Psychiatry 381
- Immunology 1.7k
- Developmental Neuroscience 236
- Physiology 1.2k
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
| # | Work | ||
|---|---|---|---|
| 1 | A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease Hit paper breakdown → | 2017 | 3424 |
| 2 | Single-cell spatial reconstruction reveals global division of labour in the mammalian liver Hit paper breakdown → | 2017 | 707 |
| 3 | Subepithelial telocytes are an important source of Wnts that supports intestinal crypts Hit paper breakdown → | 2018 | 375 |
| 4 | 2012 | 354 | |
| 5 | 2018 | 248 | |
| 6 | 2018 | 219 | |
| 7 | 2018 | 58 | |
| 8 | 2019 | 43 | |
| 9 | 2017 | 24 | |
| 10 | 2017 | 15 |
About Beáta Tóth
Beáta Tóth is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Genetics, having authored 10 papers that have together received 5.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Diabetes Management and Research (1 paper), Alzheimer's disease research and treatments (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Neurology (2.5k citations), Biological Psychiatry (381 citations), Immunology (1.7k citations), Developmental Neuroscience (236 citations) and Physiology (1.2k citations). Beáta Tóth has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Shalev Itzkovitz, Eyal David, Ido Amit, Orit Matcovitch-Natan, Assaf Weiner, Hadas Keren‐Shaul, Tyler K. Ulland, Amit Spinrad, Michal Schwartz and Marco Colonna. Their work appears in journals such as Nature, Developmental Cell, Cell Systems, Cell and Molecular Systems Biology.
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.