Edit Rutkai

647 citations
10 papers · 437 · h-index 9

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Fungal and yeast genetics research
    • CRISPR and Genetic Engineering
    • RNA regulation and disease

Papers in

    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 4
    • RNA regulation and disease 3
    • Fungal and yeast genetics research 2
    • Bacteriophages and microbial interactions 2

Edit Rutkai

10 papers receiving 436 citations

Peers

Edit Rutkai
Comparison fields: 5 of 66
  • Molecular Biology 362
  • Aging 6
  • Genetics 91
  • Endocrinology 12
  • Cell Biology 33
Replace Chad M. Kurylo with:
Chad M. Kurylo United States
Young-Su Seo South Korea
Kathy Takayama Australia
Qifan Zeng United States
Rilee Zeinert United States
Chun‐Mean Lin United States
P. C. Thornton United States
Ágnes Puskás United States
Marina Klemenčič Slovenia
Yi Hou China
Edit Rutkai relative to Chad M. Kurylo United States Chad M. Kurylo's profile →
Citations per field
00.5×4.1×
Chad M. Kurylo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Edit Rutkai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edit Rutkai Line = papers co-authored together Edit Rutkai links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2014117
2 2008111
3 201074
4 201160
5 201827
6 201218
7 200312
8 20069
9 20078
10 20041

About Edit Rutkai

Edit Rutkai is a scholar working on Molecular Biology, Ecology, Genetics, Plant Science and Cell Biology, having authored 10 papers that have together received 437 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers), RNA regulation and disease (3 papers), Bacteriophages and microbial interactions (2 papers), Fungal and yeast genetics research (2 papers), Plant Virus Research Studies (2 papers), Evolution and Genetic Dynamics (2 papers) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Molecular Biology (362 citations), Aging (6 citations), Genetics (91 citations), Endocrinology (12 citations) and Cell Biology (33 citations). Edit Rutkai has collaborated with scholars based in Hungary, United States and Czechia. Frequent co-authors include Leoš Shivaya Valášek, Anna Herrmannová, Béla Szamecz, Tomáš Kouba, Lucie Cuchalová, Alan G. Hinnebusch, Klaus Nielsen, Susan Wagner, Peter J. Lukavsky and Csaba Pál. Their work appears in journals such as Journal of Molecular Biology, Genes & Development, Journal of Bacteriology, PLoS Biology and Molecular Microbiology.

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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