Katalin Fejes Tóth

4.3k total citations · 3 hit papers
21 papers, 3.1k citations indexed

About

Katalin Fejes Tóth is a scholar working on Molecular Biology, Plant Science and Parasitology. According to data from OpenAlex, Katalin Fejes Tóth has authored 21 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Plant Science and 1 paper in Parasitology. Recurrent topics in Katalin Fejes Tóth's work include Chromosomal and Genetic Variations (14 papers), CRISPR and Genetic Engineering (10 papers) and RNA modifications and cancer (6 papers). Katalin Fejes Tóth is often cited by papers focused on Chromosomal and Genetic Variations (14 papers), CRISPR and Genetic Engineering (10 papers) and RNA modifications and cancer (6 papers). Katalin Fejes Tóth collaborates with scholars based in United States, Germany and Russia. Katalin Fejes Tóth's co-authors include Alexei A. Aravin, Ravi Sachidanandam, Gregory J. Hannon, Angélique Girard, Dubravka Pezić, Timothy H. Bestor, Christopher Schaefer, Déborah Bourc’his, Alexandre Webster and Adrien Le Thomas and has published in prestigious journals such as Science, Nature Communications and Genes & Development.

In The Last Decade

Katalin Fejes Tóth

21 papers receiving 3.0k citations

Hit Papers

A piRNA Pathway Primed by... 2007 2026 2013 2019 2008 2007 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katalin Fejes Tóth United States 17 2.7k 2.0k 477 420 85 21 3.1k
Dubravka Pezić United States 9 2.2k 0.8× 1.4k 0.7× 436 0.9× 355 0.8× 100 1.2× 10 2.5k
Vasily V. Vagin United States 13 2.9k 1.1× 1.9k 1.0× 617 1.3× 359 0.9× 72 0.8× 15 3.3k
Songtao Jia United States 25 3.7k 1.3× 1.4k 0.7× 246 0.5× 362 0.9× 17 0.2× 48 4.1k
Paul Kalitsis Australia 30 2.6k 1.0× 1.7k 0.8× 124 0.3× 854 2.0× 36 0.4× 59 3.3k
Andreas Hochwagen United States 26 3.1k 1.1× 819 0.4× 250 0.5× 434 1.0× 38 0.4× 45 3.3k
Colin D. Malone United States 20 3.4k 1.2× 2.0k 1.0× 580 1.2× 415 1.0× 19 0.2× 21 4.0k
Carla Klattenhoff United States 11 2.5k 0.9× 1.1k 0.6× 1000 2.1× 247 0.6× 28 0.3× 13 2.8k
M. Jordan Rowley United States 22 2.2k 0.8× 1.3k 0.7× 197 0.4× 316 0.8× 18 0.2× 45 2.8k
Corinne Grey France 20 2.0k 0.7× 548 0.3× 219 0.5× 747 1.8× 231 2.7× 30 2.4k
Laura Fanti Italy 26 2.9k 1.0× 1.4k 0.7× 103 0.2× 528 1.3× 18 0.2× 53 3.2k

Countries citing papers authored by Katalin Fejes Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Fejes Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katalin Fejes 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 Katalin Fejes Tóth. The network helps show where Katalin Fejes Tóth may publish in the future.

Co-authorship network of co-authors of Katalin Fejes Tóth

This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Fejes Tóth. A scholar is included among the top collaborators of Katalin Fejes Tóth 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 Katalin Fejes Tóth. Katalin Fejes Tóth 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
2.
Luo, Yicheng, et al.. (2023). Maternally inherited siRNAs initiate piRNA cluster formation. Molecular Cell. 83(21). 3835–3851.e7. 19 indexed citations
3.
Ninova, Maria, et al.. (2023). Pervasive SUMOylation of heterochromatin and piRNA pathway proteins. Cell Genomics. 3(7). 100329–100329. 6 indexed citations
4.
Tóth, Katalin Fejes, et al.. (2022). Co-option of the piRNA pathway to regulate neural crest specification. Science Advances. 8(32). eabn1441–eabn1441. 9 indexed citations
5.
Hu, Hongmiao, Alexandre Webster, Jiamu Du, et al.. (2021). Binding of guide piRNA triggers methylation of the unstructured N-terminal region of Aub leading to assembly of the piRNA amplification complex. Nature Communications. 12(1). 4061–4061. 20 indexed citations
6.
Ninova, Maria & Katalin Fejes Tóth. (2020). New players on the piRNA field. Nature Structural & Molecular Biology. 27(9). 777–779. 6 indexed citations
7.
Ninova, Maria, Yung-Chia Ariel Chen, Alicia Rogers, et al.. (2019). Su(var)2-10 and the SUMO Pathway Link piRNA-Guided Target Recognition to Chromatin Silencing. Molecular Cell. 77(3). 556–570.e6. 70 indexed citations
8.
Ninova, Maria, Yung-Chia Ariel Chen, Yicheng Luo, et al.. (2019). The SUMO Ligase Su(var)2-10 Controls Hetero- and Euchromatic Gene Expression via Establishing H3K9 Trimethylation and Negative Feedback Regulation. Molecular Cell. 77(3). 571–585.e4. 39 indexed citations
9.
Ninova, Maria, Katalin Fejes Tóth, & Alexei A. Aravin. (2019). The control of gene expression and cell identity by H3K9 trimethylation. Development. 146(19). 98 indexed citations
10.
Rogers, Alicia, et al.. (2017). Zucchini-dependent piRNA processing is triggered by recruitment to the cytoplasmic processing machinery. Genes & Development. 31(18). 1858–1869. 35 indexed citations
11.
Chen, Yung-Chia Ariel, Yicheng Luo, Maria Ninova, et al.. (2016). Cutoff Suppresses RNA Polymerase II Termination to Ensure Expression of piRNA Precursors. Molecular Cell. 63(1). 97–109. 96 indexed citations
12.
Tóth, Katalin Fejes, et al.. (2015). The piRNA Pathway Guards the Germline Genome Against Transposable Elements. Advances in experimental medicine and biology. 886. 51–77. 150 indexed citations
13.
Marinov, Georgi K., Jie Wang, Dominik Handler, et al.. (2015). Pitfalls of Mapping High-Throughput Sequencing Data to Repetitive Sequences: Piwi’s Genomic Targets Still Not Identified. Developmental Cell. 32(6). 765–771. 21 indexed citations
14.
Tóth, Katalin Fejes, et al.. (2014). Small but sturdy: small RNAs in cellular memory and epigenetics. Genes & Development. 28(5). 423–431. 48 indexed citations
15.
Thomas, Adrien Le, Sisi Li, Jiamu Du, et al.. (2014). Transgenerationally inherited piRNAs trigger piRNA biogenesis by changing the chromatin of piRNA clusters and inducing precursor processing. Genes & Development. 28(15). 1667–1680. 172 indexed citations
16.
Thomas, Adrien Le, Alicia Rogers, Alexandre Webster, et al.. (2013). Piwi induces piRNA-guided transcriptional silencing and establishment of a repressive chromatin state. Genes & Development. 27(4). 390–399. 383 indexed citations breakdown →
17.
Olovnikov, Ivan, Alexei A. Aravin, & Katalin Fejes Tóth. (2012). Small RNA in the nucleus: the RNA-chromatin ping-pong. Current Opinion in Genetics & Development. 22(2). 164–171. 33 indexed citations
18.
Caudron‐Herger, Maïwen, et al.. (2011). Coding RNAs with a non-coding function: Maintenance of open chromatin structure. Nucleus. 2(5). 410–424. 39 indexed citations
19.
Aravin, Alexei A., Ravi Sachidanandam, Déborah Bourc’his, et al.. (2008). A piRNA Pathway Primed by Individual Transposons Is Linked to De Novo DNA Methylation in Mice. Molecular Cell. 31(6). 785–799. 905 indexed citations breakdown →
20.
Aravin, Alexei A., Ravi Sachidanandam, Angélique Girard, Katalin Fejes Tóth, & Gregory J. Hannon. (2007). Developmentally Regulated piRNA Clusters Implicate MILI in Transposon Control. Science. 316(5825). 744–747. 797 indexed citations breakdown →

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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