Tamás Dankó

2.8k total citations · 1 hit paper
20 papers, 1.7k citations indexed

About

Tamás Dankó is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tamás Dankó has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Plant Science and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tamás Dankó's work include Plant-Microbe Interactions and Immunity (3 papers), Ion Channels and Receptors (3 papers) and Ion channel regulation and function (3 papers). Tamás Dankó is often cited by papers focused on Plant-Microbe Interactions and Immunity (3 papers), Ion Channels and Receptors (3 papers) and Ion channel regulation and function (3 papers). Tamás Dankó collaborates with scholars based in Hungary, Switzerland and United States. Tamás Dankó's co-authors include Thomas C. Südhof, Marius Wernig, Christopher Patzke, Yingsha Zhang, Soham Chanda, Jason P. Covy, Lu Chen, Henrik Ahlenius, Zhenjie Zhang and Wei Xu and has published in prestigious journals such as Science, Neuron and Scientific Reports.

In The Last Decade

Tamás Dankó

19 papers receiving 1.7k citations

Hit Papers

Rapid Single-Step Induction of Functional Neurons from Hu... 2013 2026 2017 2021 2013 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tamás Dankó Hungary 11 1.2k 492 301 202 166 20 1.7k
Zhenjie Zhang United States 12 997 0.9× 483 1.0× 197 0.7× 142 0.7× 174 1.0× 14 1.5k
Weiwei Zhong United States 25 908 0.8× 245 0.5× 304 1.0× 202 1.0× 117 0.7× 77 1.9k
Jay Penney United States 18 1.2k 1.1× 410 0.8× 154 0.5× 124 0.6× 522 3.1× 22 2.0k
Lavinia Albéri Switzerland 25 996 0.9× 633 1.3× 191 0.6× 160 0.8× 265 1.6× 47 2.0k
Carmen Villmann Germany 26 937 0.8× 1.1k 2.3× 101 0.3× 89 0.4× 162 1.0× 106 2.2k
Hitoshi Inada Japan 22 774 0.7× 616 1.3× 214 0.7× 82 0.4× 361 2.2× 55 2.5k
Fumiko Ozawa Japan 19 1.2k 1.0× 1.3k 2.6× 179 0.6× 254 1.3× 149 0.9× 43 2.2k
Huaiyu Gu China 24 514 0.4× 815 1.7× 132 0.4× 99 0.5× 229 1.4× 59 1.8k
Ross Bland New Zealand 18 1.4k 1.2× 1.1k 2.2× 588 2.0× 160 0.8× 406 2.4× 30 2.8k
Gerard M. J. Beaudoin United States 15 694 0.6× 400 0.8× 182 0.6× 104 0.5× 134 0.8× 20 1.3k

Countries citing papers authored by Tamás Dankó

Since Specialization
Citations

This map shows the geographic impact of Tamás Dankó'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 Tamás Dankó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Dankó more than expected).

Fields of papers citing papers by Tamás Dankó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamás Dankó. 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 Tamás Dankó. The network helps show where Tamás Dankó may publish in the future.

Co-authorship network of co-authors of Tamás Dankó

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Dankó. A scholar is included among the top collaborators of Tamás Dankó based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tamás Dankó. Tamás Dankó is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Molnár, Orsolya, Márk Z. Németh, Alexandra Pintye, et al.. (2024). Revisiting the intron hypothesis of QoI resistance in Phyllosticta ampelicida , the causal agent of grape black rot, and other Phyllosticta species. Plant Pathology. 73(6). 1491–1505. 1 indexed citations
2.
Dankó, Tamás, Soham Chanda, Pedro J. Batista, et al.. (2022). The autism risk factor CHD8 is a chromatin activator in human neurons and functionally dependent on the ERK-MAPK pathway effector ELK1. Scientific Reports. 12(1). 22425–22425. 7 indexed citations
3.
Pogány, Miklós, Tamás Dankó, Kamirán Áron Hamow, et al.. (2022). Redox and Hormonal Changes in the Transcriptome of Grape (Vitis vinifera) Berries during Natural Noble Rot Development. Plants. 11(7). 864–864. 7 indexed citations
4.
Horváth, Katalin, et al.. (2021). Deuterium-depleted water stimulates GLUT4 translocation in the presence of insulin, which leads to decreased blood glucose concentration. Molecular and Cellular Biochemistry. 476(12). 4507–4516. 10 indexed citations
5.
Dankó, Tamás, et al.. (2021). Distinct volatile signatures of bunch rot and noble rot. Physiological and Molecular Plant Pathology. 114. 101626–101626. 8 indexed citations
7.
Pogány, Miklós, et al.. (2018). A simplified and efficient Agrobacterium tumefaciens electroporation method. 3 Biotech. 8(3). 148–148. 21 indexed citations
9.
Fodor, József, et al.. (2017). Description of the Nicotiana benthamianaCercospora nicotianae Pathosystem. Phytopathology. 108(1). 149–155. 4 indexed citations
10.
Yi, Fei, Tamás Dankó, Salomé Calado Botelho, et al.. (2016). Autism-associated SHANK3 haploinsufficiency causes I h channelopathy in human neurons. Science. 352(6286). aaf2669–aaf2669. 221 indexed citations
11.
Dankó, Tamás, et al.. (2015). The regulation of Δ11-desaturase gene expression in the pheromone gland of Mamestra brassicae (Lepidoptera; Noctuidae) during pheromonogenesis. General and Comparative Endocrinology. 221. 217–227. 10 indexed citations
12.
Pak, ChangHui, Tamás Dankó, Yingsha Zhang, et al.. (2015). Human Neuropsychiatric Disease Modeling using Conditional Deletion Reveals Synaptic Transmission Defects Caused by Heterozygous Mutations in NRXN1. Cell stem cell. 17(3). 316–328. 156 indexed citations
13.
Pogány, Miklós, et al.. (2015). Regulatory Proteolysis in Arabidopsis-Pathogen Interactions. International Journal of Molecular Sciences. 16(10). 23177–23194. 22 indexed citations
14.
Zhang, Yingsha, Henrik Ahlenius, Zhenjie Zhang, et al.. (2013). Rapid Single-Step Induction of Functional Neurons from Human Pluripotent Stem Cells. Neuron. 78(5). 785–798. 1015 indexed citations breakdown →
15.
Dankó, Tamás, et al.. (2013). Investigation of the Inhibitory Effects of the Benzodiazepine Derivative, 5-BDBD on P2X4Purinergic Receptors by two Complementary Methods. Cellular Physiology and Biochemistry. 32(1). 11–24. 52 indexed citations
16.
Kovács, Gergely, Nicolás Montalbetti, Alexandre Simonin, et al.. (2012). Inhibition of the human epithelial calcium channel TRPV6 by 2-aminoethoxydiphenyl borate (2-APB). Cell Calcium. 52(6). 468–480. 63 indexed citations
17.
Dankó, Tamás, et al.. (2011). Extracellular Alkalinization Stimulates Calcium-activated Chloride Conductance in Cystic Fibrosis Human Airway Epithelial Cells. Cellular Physiology and Biochemistry. 27(3-4). 401–410. 6 indexed citations
18.
Kovács, Gergely, et al.. (2011). Heavy metal cations permeate the TRPV6 epithelial cation channel. The FASEB Journal. 25(S1).
19.
Kovács, Gergely, Tamás Dankó, Marc J. Bergeron, et al.. (2010). Heavy metal cations permeate the TRPV6 epithelial cation channel. Cell Calcium. 49(1). 43–55. 58 indexed citations
20.
Pataki, Ágnes, Tamás Dankó, László Csernoch, et al.. (2009). Calcium entry is regulated by Zn2+ in relation to extracellular ionic environment in human airway epithelial cells. Respiratory Physiology & Neurobiology. 170(1). 67–75. 9 indexed citations

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.

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