Tamás Dalmay

17.3k total citations · 2 hit papers
170 papers, 10.8k citations indexed

About

Tamás Dalmay is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Tamás Dalmay has authored 170 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Molecular Biology, 97 papers in Plant Science and 51 papers in Cancer Research. Recurrent topics in Tamás Dalmay's work include MicroRNA in disease regulation (46 papers), Plant Virus Research Studies (42 papers) and Plant Molecular Biology Research (39 papers). Tamás Dalmay is often cited by papers focused on MicroRNA in disease regulation (46 papers), Plant Virus Research Studies (42 papers) and Plant Molecular Biology Research (39 papers). Tamás Dalmay collaborates with scholars based in United Kingdom, Hungary and France. Tamás Dalmay's co-authors include Vincent Moulton, David C. Baulcombe, Simon Moxon, György Szittya, Andrew J. Hamilton, József Burgyán, Frank Schwach, Stephen Rudd, Susan Angell and Dylan R. Edwards and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tamás Dalmay

164 papers receiving 10.6k citations

Hit Papers

An RNA-Dependent RNA Poly... 2000 2026 2008 2017 2000 2005 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An RNA-Dependent RNA Polymerase Gene in Arabidopsis Is Required for Posttranscriptional Gene Silencing Mediated by a Transgene but Not by a Virus
    2000 832 citations Tamás Dalmay, David C. Baulcombe et al. profile →
  2. RNA Polymerase IV Directs Silencing of Endogenous DNA
    2005 535 citations Alan J. Herr, Maj‐Britt Jensen et al. Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tamás Dalmay 6.3k 6.0k 3.1k 945 448 170 10.8k
Giuseppe Macino 4.1k 0.6× 2.0k 0.3× 1.5k 0.5× 432 0.5× 101 0.2× 58 5.5k
Rhonda Feinbaum 9.4k 1.5× 1.6k 0.3× 7.0k 2.3× 272 0.3× 199 0.4× 19 12.4k
Brenda J. Reinhart 8.4k 1.3× 5.0k 0.8× 5.2k 1.7× 171 0.2× 137 0.3× 16 11.4k
György Hutvàgner 10.4k 1.7× 1.7k 0.3× 6.4k 2.1× 151 0.2× 209 0.5× 69 12.4k
Gunter Meister 16.9k 2.7× 1.9k 0.3× 9.4k 3.1× 171 0.2× 246 0.5× 162 20.0k
Christopher Bennett 4.7k 0.8× 2.6k 0.4× 818 0.3× 161 0.2× 374 0.8× 3 8.1k
Ana Kozomara 7.6k 1.2× 1.9k 0.3× 6.3k 2.1× 135 0.1× 146 0.3× 6 10.2k
René F. Ketting 9.3k 1.5× 2.8k 0.5× 3.6k 1.2× 123 0.1× 161 0.4× 86 11.0k
Alexei A. Aravin 14.9k 2.4× 7.8k 1.3× 5.3k 1.7× 121 0.1× 345 0.8× 83 17.2k
Carlo Cogoni 3.1k 0.5× 1.6k 0.3× 1.1k 0.3× 385 0.4× 85 0.2× 46 4.2k

Countries citing papers authored by Tamás Dalmay

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Dalmay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Dalmay

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Dalmay. A scholar is included among the top collaborators of Tamás Dalmay 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 Dalmay. Tamás Dalmay 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.
Prince, David, et al.. (2024). Molecular Basis of Eusocial Complexity: The Case of Worker Reproductivity in Bees. Genome Biology and Evolution. 16(12).
2.
César‐Razquin, Adrián, Josep Casacuberta, Tamás Dalmay, et al.. (2024). Technical Note on the quality of DNA sequencing for the molecular characterisation of genetically modified plants. EFSA Journal. 22(4). e8744–e8744. 5 indexed citations
3.
Gulyás, Zsolt, et al.. (2023). Identification of ascorbate‐ and salicylate‐responsive miRNAs and verification of the spectral control of miR395 in Arabidopsis. Physiologia Plantarum. 175(6). e14070–e14070. 2 indexed citations
4.
Mullins, Ewen, Jean‐Louis Bresson, Tamás Dalmay, et al.. (2023). Risk assessment of additional information on maize MIR162. EFSA Journal. 21(4). e07935–e07935. 1 indexed citations
5.
Mullins, Ewen, Jean‐Louis Bresson, Tamás Dalmay, et al.. (2023). Animal dietary exposure in the risk assessment of feed derived from genetically modified plants. EFSA Journal. 21(1). e07732–e07732. 1 indexed citations
6.
Collins, David H., Michael G. Smith, David Prince, et al.. (2020). Gene expression during larval caste determination and differentiation in intermediately eusocial bumblebees, and a comparative analysis with advanced eusocial honeybees. Molecular Ecology. 30(3). 718–735. 10 indexed citations
7.
8.
Woods, Steven Paul, Kathleen Cheung, Jamie Soul, et al.. (2020). microRNA-seq of cartilage reveals an overabundance of miR-140-3p which contains functional isomiRs. RNA. 26(11). 1575–1588. 17 indexed citations
9.
Singh, Archana, Irina Mohorianu, Darrell Green, et al.. (2019). Artificially induced phased siRNAs promote virus resistance in transgenic plants. Virology. 537. 208–215. 9 indexed citations
10.
Gyula, Péter, et al.. (2018). Ambient temperature regulates the expression of a small set of sRNAs influencing plant development through NF‐YA2 and YUC2. Plant Cell & Environment. 41(10). 2404–2417. 49 indexed citations
11.
Bradley, Desmond, Ping Xu, Irina Mohorianu, et al.. (2017). Evolution of flower color pattern through selection on regulatory small RNAs. Science. 358(6365). 925–928. 50 indexed citations
12.
13.
Hall, Adam E., et al.. (2013). Y RNAs: recent developments. BioMolecular Concepts. 4(2). 103–110. 31 indexed citations
14.
Dalmay, Tamás, et al.. (2011). MicroRNAs in Development. Methods in molecular biology. 7 indexed citations
15.
Sweetman, Dylan, et al.. (2008). Specific requirements of MRFs for the expression of muscle specific microRNAs, miR-1, miR-206 and miR-133. Developmental Biology. 321(2). 491–499. 227 indexed citations
16.
17.
Wheeler, Guy, Anna Válóczi, Zoltán Havelda, & Tamás Dalmay. (2007). In Situ Detection of Animal and Plant MicroRNAs. DNA and Cell Biology. 26(4). 251–255. 22 indexed citations
18.
Herr, Alan J., Maj‐Britt Jensen, Tamás Dalmay, & David C. Baulcombe. (2005). RNA Polymerase IV Directs Silencing of Endogenous DNA. Science. 308(5718). 118–120. 535 indexed citations breakdown →
19.
Dalmay, Tamás & Luisa Rubino. (1995). Replication of Cymbidium Ringspot Virus Satellite RNA Mutants. Virology. 206(2). 1092–1098. 21 indexed citations
20.
Dalmay, Tamás, György Szittya, & József Burgyán. (1995). Generation of Defective Interfering RNA Dimers of Cymbidium Ringspot Tombusvirus. Virology. 207(2). 510–517. 19 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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