Beata Turoňová

65 total papers · 2.6k total citations
22 papers, 1.4k citations indexed

About

Beata Turoňová is a scholar working on Molecular Biology, Structural Biology and Radiation. According to data from OpenAlex, Beata Turoňová has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Structural Biology and 5 papers in Radiation. Recurrent topics in Beata Turoňová's work include Advanced Electron Microscopy Techniques and Applications (10 papers), RNA and protein synthesis mechanisms (5 papers) and RNA Research and Splicing (5 papers). Beata Turoňová is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (10 papers), RNA and protein synthesis mechanisms (5 papers) and RNA Research and Splicing (5 papers). Beata Turoňová collaborates with scholars based in Germany, France and United States. Beata Turoňová's co-authors include Martin Beck, Wim J. H. Hagen, Christian E. Zimmerli, John A. G. Briggs, William Wan, F.K.M. Schur, Gerhard Hummer, Shyamal Mosalaganti, Sonja Welsch and Hans‐Georg Kräusslich and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Beata Turoňová

21 papers receiving 1.4k citations

Hit Papers

In situ structural analys... 2020 2026 2022 2024 2020 2021 2022 2025 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Beata Turoňová 790 424 344 166 150 22 1.4k
Zunlong Ke 724 0.9× 762 1.8× 209 0.6× 90 0.5× 100 0.7× 22 1.6k
Kedar Narayan 529 0.7× 147 0.3× 292 0.8× 121 0.7× 217 1.4× 51 1.5k
Brent Gowen 1.1k 1.3× 300 0.7× 320 0.9× 115 0.7× 222 1.5× 16 1.8k
Arjen J. Jakobi 846 1.1× 112 0.3× 319 0.9× 147 0.9× 114 0.8× 37 1.3k
Muyuan Chen 792 1.0× 152 0.4× 327 1.0× 140 0.8× 35 0.2× 38 1.4k
Christian Suloway 1.1k 1.4× 140 0.3× 430 1.3× 239 1.4× 88 0.6× 16 1.8k
Alex de Marco 671 0.8× 221 0.5× 553 1.6× 238 1.4× 340 2.3× 53 1.8k
Jason Lanman 508 0.6× 405 1.0× 129 0.4× 69 0.4× 362 2.4× 28 1.2k
Shyamal Mosalaganti 1.3k 1.6× 356 0.8× 301 0.9× 111 0.7× 32 0.2× 26 1.8k
Junhua Pan 414 0.5× 281 0.7× 413 1.2× 227 1.4× 70 0.5× 29 1.1k

Countries citing papers authored by Beata Turoňová

Since Specialization
Citations

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

Fields of papers citing papers by Beata Turoňová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beata Turoňová

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

All Works

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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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