Dániel J. Tóth
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
- Cell Biology 10
- Cellular transport and secretion 10
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- Lipid metabolism and biosynthesis 4
- Co-authors
- Tamás Balla (11 shared papers)Péter Várnai (12 shared papers)László Hunyady (9 shared papers)Balázs István Tóth (1 shared paper)Yeun Ju Kim (3 shared papers)Gergő Gulyás (5 shared papers)Mira Sohn (3 shared papers)J. Tóth (5 shared papers)
- Journals
- Scientific Reports (4 papers)Journal of Biological Chemistry (3 papers)Journal of Cell Science (2 papers)International Journal of Molecular Sciences (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)
- Partner nations
- HungaryUnited StatesFrance
In The Last Decade
Dániel J. Tóth
20 papers receiving 784 citations
Peers
Comparison fields: 5 of 53
- Sensory Systems 179
- Cell Biology 294
- Biochemistry 106
- Molecular Biology 337
- Physiology 14
Countries citing papers authored by Dániel J. Tóth
This map shows the geographic impact of Dániel J. 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 Dániel J. Tóth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel J. Tóth more than expected).
Fields of papers citing papers by Dániel J. Tóth
This network shows the impact of papers produced by Dániel J. 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 Dániel J. Tóth. The network helps show where Dániel J. Tóth may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel J. 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 219 | |
| 2 | 2016 | 83 | |
| 3 | 2019 | 81 | |
| 4 | 2019 | 80 | |
| 5 | 2016 | 76 | |
| 6 | 2015 | 48 | |
| 7 | 2017 | 48 | |
| 8 | 2012 | 47 | |
| 9 | 2012 | 24 | |
| 10 | 2015 | 21 | |
| 11 | 2021 | 21 | |
| 12 | 2012 | 20 | |
| 13 | 2022 | 11 | |
| 14 | 2019 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Dániel J. Tóth
Dániel J. Tóth is a scholar working on Cell Biology, Biochemistry, Molecular Biology, Pharmacology and Computational Theory and Mathematics, having authored 21 papers that have together received 793 indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Lipid metabolism and biosynthesis (4 papers), Receptor Mechanisms and Signaling (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Protein Structure and Dynamics (3 papers), Lipid Membrane Structure and Behavior (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Sensory Systems (179 citations), Cell Biology (294 citations), Biochemistry (106 citations), Molecular Biology (337 citations) and Physiology (14 citations). Dániel J. Tóth has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include Tamás Balla, Péter Várnai, László Hunyady, Balázs István Tóth, Yeun Ju Kim, Gergő Gulyás, Mira Sohn, J. Tóth, András Balla and Evžen Bouřa. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, Journal of Cell Science, International Journal of Molecular Sciences and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.
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.