Ursula Toth

956 total citations · 2 hit papers
10 papers, 648 citations indexed

About

Ursula Toth is a scholar working on Molecular Biology, Ecology and Surgery. According to data from OpenAlex, Ursula Toth has authored 10 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Surgery. Recurrent topics in Ursula Toth's work include RNA modifications and cancer (7 papers), RNA and protein synthesis mechanisms (7 papers) and RNA Research and Splicing (4 papers). Ursula Toth is often cited by papers focused on RNA modifications and cancer (7 papers), RNA and protein synthesis mechanisms (7 papers) and RNA Research and Splicing (4 papers). Ursula Toth collaborates with scholars based in Austria, Germany and Israel. Ursula Toth's co-authors include Walter Rossmanith, Schraga Schwartz, Ronit Nir, Alexander Brandis, Jacob H. Hanna, Roni Winkler, Lior Lasman, Sarit Edelheit, Modi Safra and Ran Shachar and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ursula Toth

9 papers receiving 645 citations

Hit Papers

Deciphering the “m6A Code” via Antibody-Independent Quant... 2019 2026 2021 2023 2019 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ursula Toth Austria 7 637 249 83 37 30 10 648
Magdalena N. Wojtas Spain 6 425 0.7× 196 0.8× 64 0.8× 17 0.5× 20 0.7× 10 446
Nhan van Tran France 7 544 0.9× 233 0.9× 72 0.9× 36 1.0× 9 0.3× 7 562
Cassandra Schaening-Burgos United States 5 745 1.2× 316 1.3× 37 0.4× 42 1.1× 13 0.4× 9 766
Vladimir Despic United States 5 468 0.7× 180 0.7× 69 0.8× 19 0.5× 7 0.2× 5 488
Casslynn W.Q. Koh Singapore 5 483 0.8× 241 1.0× 60 0.7× 20 0.5× 11 0.4× 5 499
Dominik Jacob Germany 6 763 1.2× 365 1.5× 139 1.7× 47 1.3× 7 0.2× 8 782
Felix G.M. Ernst Belgium 9 649 1.0× 294 1.2× 71 0.9× 43 1.2× 5 0.2× 16 672
Pavlína Gregorová Finland 4 397 0.6× 203 0.8× 61 0.7× 25 0.7× 7 0.2× 7 408
Shinichiro Akichika Japan 4 391 0.6× 129 0.5× 25 0.3× 25 0.7× 8 0.3× 8 403
Christopher Hendra Singapore 4 381 0.6× 184 0.7× 34 0.4× 21 0.6× 8 0.3× 4 415

Countries citing papers authored by Ursula Toth

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Toth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Toth

This figure shows the co-authorship network connecting the top 25 collaborators of Ursula Toth. A scholar is included among the top collaborators of Ursula Toth 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 Ursula Toth. Ursula Toth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Shachar, Ran, Miguel Angel García-Campos, Anna Uzonyi, et al.. (2024). Dissecting the sequence and structural determinants guiding m6A deposition and evolution via inter- and intra-species hybrids. Genome biology. 25(1). 48–48. 6 indexed citations
2.
Shachar, Ran, Ronit Nir, Miguel Angel García-Campos, et al.. (2024). Passive shaping of intra- and intercellular m6A dynamics via mRNA metabolism. eLife. 13.
3.
Vilardo, Elisa, et al.. (2023). Cleavage kinetics of human mitochondrial RNase P and contribution of its non-nuclease subunits. Nucleic Acids Research. 51(19). 10536–10550. 15 indexed citations
4.
Uzonyi, Anna, Ronit Nir, Oh Sung Kwon, et al.. (2023). Exclusion of m6A from splice-site proximal regions by the exon junction complex dictates m6A topologies and mRNA stability. Molecular Cell. 83(2). 237–251.e7. 123 indexed citations breakdown →
5.
Toth, Ursula, Konrad U. Förstner, Lauriane Kühn, et al.. (2020). YBEY is an essential biogenesis factor for mitochondrial ribosomes. Nucleic Acids Research. 48(17). 9762–9786. 25 indexed citations
6.
Vilardo, Elisa, Fabian Amman, Ursula Toth, et al.. (2020). Functional characterization of the human tRNA methyltransferases TRMT10A and TRMT10B. Nucleic Acids Research. 48(11). 6157–6169. 46 indexed citations
7.
García-Campos, Miguel Angel, Sarit Edelheit, Ursula Toth, et al.. (2019). Deciphering the “m6A Code” via Antibody-Independent Quantitative Profiling. Cell. 178(3). 731–747.e16. 359 indexed citations breakdown →
8.
Gößringer, Markus, Marcus Lechner, Uwe Linne, et al.. (2017). Minimal and RNA-free RNase P in Aquifex aeolicus. Proceedings of the National Academy of Sciences. 114(42). 11121–11126. 38 indexed citations
9.
Gößringer, Markus, et al.. (2016). Substrate recognition and cleavage-site selection by a single-subunit protein-only RNase P. Nucleic Acids Research. 44(5). 2323–2336. 30 indexed citations
10.
Bochkov, Valery N., Andreas W. Schoenenberger, Olga Oskolkova, et al.. (2016). Novel Immune Assay for Quantification of Plasma Protective Capacity Against Oxidized Phospholipids. Biomarkers in Medicine. 10(8). 797–810. 6 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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