Katalin Fejes Tóth
- Molecular Biology top 2%
- Plant Science top 1%
- Cancer Research top 5%
- Genetics top 5%
- Reproductive Medicine top 10%
- Co-authors
- Alexei A. AravinRavi SachidanandamGregory J. HannonAngélique GirardDubravka PezićDéborah Bourc’hisTimothy H. BestorChristopher Schaefer
- Topics
- Chromosomal and Genetic Variations (14 papers)CRISPR and Genetic Engineering (10 papers)RNA modifications and cancer (6 papers)
- Cited by
- Plant ScienceMolecular BiologyAging
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Katalin Fejes Tóth
21 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 2.7k
- Plant Science 2.0k
- Cancer Research 477
- Genetics 420
- Reproductive Medicine 85
Countries citing papers authored by Katalin Fejes Tóth
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 19 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 20 | |
| 6 | 6 | |
| 7 | 39 | |
| 8 | 70 | |
| 9 | 98 | |
| 10 | 35 | |
| 11 | 96 | |
| 12 | 150 | |
| 13 | 21 | |
| 14 | 48 | |
| 15 | 172 | |
| 16 | Piwi induces piRNA-guided transcriptional silencing and establishment of a repressive chromatin statebreakdown → | 383 |
| 17 | 33 | |
| 18 | 39 | |
| 19 | A piRNA Pathway Primed by Individual Transposons Is Linked to De Novo DNA Methylation in Micebreakdown → | 905 |
| 20 | Developmentally Regulated piRNA Clusters Implicate MILI in Transposon Controlbreakdown → | 797 |
About Katalin Fejes Tóth
Katalin Fejes Tóth is a scholar working on Plant Science, Molecular Biology and Parasitology, having authored 21 papers that have together received 3.1k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (14 papers), CRISPR and Genetic Engineering (10 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Plant Science (2.0k citations), Molecular Biology (2.7k citations) and Aging (56 citations). Katalin Fejes Tóth has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Alexei A. Aravin, Ravi Sachidanandam, Gregory J. Hannon, Angélique Girard, Dubravka Pezić, Déborah Bourc’his, Timothy H. Bestor, Christopher Schaefer, Alexandre Webster and Adrien Le Thomas. Their work appears in journals such as Science, Nature Communications and Genes & Development.
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.