Edit Rutkai

647 total citations
10 papers, 437 citations indexed

About

Edit Rutkai is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Edit Rutkai has authored 10 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Genetics. Recurrent topics in Edit Rutkai's work include RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers) and RNA regulation and disease (3 papers). Edit Rutkai is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers) and RNA regulation and disease (3 papers). Edit Rutkai collaborates with scholars based in Hungary, United States and Czechia. Edit Rutkai's co-authors include Leoš Shivaya Valášek, Anna Herrmannová, Béla Szamecz, Tomáš Kouba, Lucie Cuchalová, Klaus Nielsen, Alan G. Hinnebusch, Susan Wagner, Peter J. Lukavsky and Dorottya Kalapis and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Edit Rutkai

10 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edit Rutkai Hungary 9 362 91 38 33 29 10 437
Pieter Spealman United States 8 324 0.9× 84 0.9× 40 1.1× 9 0.3× 61 2.1× 15 421
Kathy Takayama Australia 9 249 0.7× 113 1.2× 84 2.2× 7 0.2× 25 0.9× 17 371
Chad M. Kurylo United States 6 297 0.8× 53 0.6× 29 0.8× 9 0.3× 28 1.0× 7 334
John J. Desmarais United States 4 387 1.1× 85 0.9× 18 0.5× 11 0.3× 47 1.6× 6 423
Zimeng Chen China 10 146 0.4× 43 0.5× 17 0.4× 23 0.7× 63 2.2× 28 316
Bonnielin K. Sceurman United States 7 93 0.3× 68 0.7× 21 0.6× 22 0.7× 75 2.6× 8 520
Jiahui Xie China 10 83 0.2× 36 0.4× 19 0.5× 19 0.6× 74 2.6× 30 261
Cédric F.V. Hobel Germany 6 282 0.8× 34 0.4× 170 4.5× 63 1.9× 23 0.8× 8 386
P. C. Thornton United States 7 321 0.9× 260 2.9× 26 0.7× 14 0.4× 62 2.1× 9 407
Daniel P. Romero United States 11 479 1.3× 48 0.5× 66 1.7× 23 0.7× 113 3.9× 16 527

Countries citing papers authored by Edit Rutkai

Since Specialization
Citations

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

Fields of papers citing papers by Edit Rutkai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edit Rutkai

This figure shows the co-authorship network connecting the top 25 collaborators of Edit Rutkai. A scholar is included among the top collaborators of Edit Rutkai 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 Edit Rutkai. Edit Rutkai 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.
Farkas, Zoltán, Dorottya Kalapis, Zoltán Bódi, et al.. (2018). Hsp70-associated chaperones have a critical role in buffering protein production costs. eLife. 7. 27 indexed citations
2.
Szamecz, Béla, Gábor Boross, Dorottya Kalapis, et al.. (2014). The Genomic Landscape of Compensatory Evolution. PLoS Biology. 12(8). e1001935–e1001935. 117 indexed citations
3.
Balázs, Margit, Andrea Rónavári, Zoltán Bihari, et al.. (2012). Effect of DNA polymerases on PCR-DGGE patterns. International Biodeterioration & Biodegradation. 84. 244–249. 18 indexed citations
4.
Kouba, Tomáš, et al.. (2011). The eIF3c/NIP1 PCI domain interacts with RNA and RACK1/ASC1 and promotes assembly of translation preinitiation complexes. Nucleic Acids Research. 40(6). 2683–2699. 60 indexed citations
6.
Szamecz, Béla, Edit Rutkai, Lucie Cuchalová, et al.. (2008). eIF3a cooperates with sequences 5′ of uORF1 to promote resumption of scanning by post-termination ribosomes for reinitiation on GCN4 mRNA. Genes & Development. 22(17). 2414–2425. 111 indexed citations
7.
Rutkai, Edit, et al.. (2007). Protection of antiterminator RNA by the transcript elongation complex. Molecular Microbiology. 63(4). 1197–1208. 8 indexed citations
8.
Rutkai, Edit, Andrea György, László Dorgai, & Robert A. Weisberg. (2006). Role of Secondary Attachment Sites in Changing the Specificity of Site-Specific Recombination. Journal of Bacteriology. 188(9). 3409–3411. 9 indexed citations
9.
Bubán, T., Edit Rutkai, László Dorgai, & S. V. Thomson. (2004). Prediction infection risk on the basis of weather-related factors and Erwinia amylovora colonization in apple and pear flowers. SHILAP Revista de lepidopterología. 10(2). 1 indexed citations
10.
Rutkai, Edit, et al.. (2003). Analysis of Insertion into Secondary Attachment Sites by Phage λ and by int Mutants with Altered Recombination Specificity. Journal of Molecular Biology. 329(5). 983–996. 12 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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